GRASS-Wiki - User contributions [en]

Global datasets

2013-02-18T15:12:06Z

⚠️Mabever:

= Raster data =

== Elevation data ==

=== ASTER topography (GDEM V1) ===

Improved ASTER GDEM 1 from 2009:

GDEM global 30m elevation calculated from stereo-pair images collected by the Terra satellite.
''"This is the most complete, consistent global digital elevation data yet made available to the world."''
This is a very new dataset, at version 1 (treat as ''experimental''). Accuracy will be improved in forthcoming versions (validation with SRTM, etc.; [http://gfoss.blogspot.com/2009/08/aster-gdem-30m-quality-assessment.html see assessment here] and [http://www.viewfinderpanoramas.org/reviews.html#aster here]).

* ''[https://lpdaac.usgs.gov/lpdaac/about/news_archive/monday_june_22_20092 pre-release announcement]''
* [http://www.nasa.gov/home/hqnews/2009/jun/HQ_09-150_ASTER_Topographic_Map.html NASA press release]
* [https://wist.echo.nasa.gov/~wist/api/imswelcome/ Warehouse Inventory Search Tool] or [http://www.gdem.aster.ersdac.or.jp/search.jsp Easy search tool] (Data download)

'''Tutorial:''' [http://grass.osgeo.org/wiki/ASTER_topography ASTER topography].

''See also: [http://gfoss.blogspot.com/2009/08/aster-gdem-30m-quality-assessment.html ASTER GDEM 30m quality assessment]''

=== ASTER topography (GDEM V2) ===

Improved ASTER GDEM 2 from 2011:
* https://lpdaac.usgs.gov/products/aster_products_table/routine/aster_global_digital_elevation_model/v2/astgtm

The ASTER GDEM covers land surfaces between 83°N and 83°S and is comprised of 22,702 tiles. Tiles that contain at least 0.01% land area are included. The ASTER GDEM is distributed as Geographic Tagged Image File Format (GeoTIFF) files with geographic coordinates (latitude, longitude). The data are posted on a '''1 arc-second''' (approximately '''30–m at the equator''') grid and referenced to the 1984 World Geodetic System (WGS84)/ 1996 Earth Gravitational Model (EGM96) geoid.

'''Notes:''' this DEM can be rather well filtered and smoothed with the [http://personalpages.manchester.ac.uk/staff/neil.mitchell/mdenoise/ Sun's denoising algorithm] (using GDAL and free / open source program <mdenoise> or simply GRASS add-on {{AddonCmd|r.denoise}}.

Experiments showed that the best smoothing of ASTER GDEM 2 is reached with such parameters of <mdenoise>:
* threshold = 0.8
* iterations = 10-20

Also filtering with {{cmd|r.neighbors}} by "average" method and window size >=5 is quite useful to remove some noise from DEM.

''See also: [http://www.isprs2012.org/abstract/299.asp Validation of the ASTER Global Digital Elevation Model Version 2 over the Conterminous United States]''

=== ACE2 ===

The ACE2 Global Digital Elevation Model is available at 3", 30" and 5' spatial resolutions.

* http://tethys.eaprs.cse.dmu.ac.uk/ACE2/

Import example:
r.in.bin -f input="00N105E_3S.ACE2" output="ACE2_00N105E" bytes=4 \
order="native" north=15 south=0 east=120 west=105 \
rows=18000 cols=18000

=== CleanTOPO2 (DEM) ===

* [http://www.shadedrelief.com/cleantopo2/ CleanTOPO2 download]: Edited SRTM30 Plus World Elevation Data

Import in GRASS:
r.in.gdal CleanTOPO2.tif out=cleanTOPO2.tmp -l -o
g.region rast=cleanTOPO2 -p -g
# rescale from odd integer values to true world values
r.rescale cleanTOPO2.tmp out=cleanTOPO2 to=-10701,8248
r.colors cleanTOPO2_final col=terrain

[[Image:CleanTOPO2_map.png|thumb|center|300px|Rescaled ClearTOPO2 map]]

=== EGM2008 Geoid Data (Earth Gravitational Model) ===

Global 2.5 Minute Geoid Undulations:
* download GIS Format at http://earth-info.nga.mil/GandG/wgs84/gravitymod/egm2008/egm08_gis.html

[[Image:Trentino_egm2008_map_5m_resampled.jpg|thumb|center|300px|Geoid undulations in Trentino, Italy]]

Verifications of points can be done with the http://geographiclib.sourceforge.net/cgi-bin/GeoidEval

=== ETOPO (DEM) ===

The ETOPO datasets provide global topography and bathymetry at 1', 2', and 5' per-cell resolutions.

==== ETOPO1 (DEM) ====

* http://www.ngdc.noaa.gov/mgg/global/

* '''The ''cell registered'' version can be loaded directly into a lat/lon location'''. GRASS raster data is cell registered (see the [[GRASS raster semantics]] page)

* Special care must be taken with the ''grid registered'' version. It can not be loaded directly into a lat/lon location as the parameters found in the .hdr file exceed the limits of polar coordinate space: they have N,S rows which go 1/2 a cell beyond 90 latitude, when considered in the ''cell registered'' convention.
: So the data needs to have those 90deg N,S rows cropped away, and while we're at it we crop away a redundant overlapping column at 180 longitude. To do this we have to first tell the GIS a little fib during import to squeeze the data into lat/lon space, then crop away the spurious rows and column, then finally reset the resulting map's bounds to its true extent.

<source lang="bash">
# Import grid registered binary float, fibbing about its true extent
r.in.bin -f in=etopo1_bed_g.flt out=etopo1_bed_g.raw \
n=90 s=-90 e=180 w=-180 rows=10801 cols=21601 anull=-9999

# reduce the working region by 1 cell
g.region rast=etopo1_bed_g.raw
eval `g.region -g`
g.region n=n-$nsres s=s+$nsres e=e-$ewres -p

# save smaller raster and remove original
r.mapcalc "etopo1_bed_g.crop = etopo1_bed_g.raw"
g.remove etopo1_bed_g.raw

# re-establish the correct bounds, now that they'll fit
r.region etopo1_bed_g.crop n=89:59:30N s=89:59:30S w=179:59:30E e=179:59:30E
g.region rast=etopo1_bed_g.crop

# check that N,S,E,W and Res are all nice and clean:
r.info etopo1_bed_g.crop

# looks good, so accept the results by resetting the map name
g.rename etopo1_bed_g.crop,etopo1_bed_g

# set to use appropriate color rules
r.colors etopo1_bed_g color=etopo2

# set the 'units' metadata field (for elevation data contained within the map)
r.support etopo1_bed_g units=meters
</source>

* For the problematic ''grid registered'' version, the resulting {{cmd|r.info}} report should look like:
| Rows: 10799 |
| Columns: 21600 |
| Total Cells: 233258400 |
| Projection: Latitude-Longitude |
| N: 89:59:30N S: 89:59:30S Res: 0:01 |
| E: 179:59:30E W: 179:59:30E Res: 0:01 |
| Range of data: min = -10898 max = 8271 |
(the east and west bounds of the map touch 1/2 a cell west of 180 longitude)

* For the problematic ''grid registered'' version, since the data's grid is 1/2 a cell shifted from nicely rounded 1 arc-minutes (0:01), you'll need to ensure that the mapset's region preserves that alignment after zooming or panning:
g.region align=etopo1_bed_g -p
: (or oversample and set the region resolution to 1/2 arc-minutes (0:00:30), which will be four times as slow)

==== ETOPO2 (DEM) ====

* See the ETOPO2 (2' global) article by M.H. Bowman in the [http://grass.osgeo.org/newsletter/GRASSNews_vol1.pdf GRASS Newsletter, 1:8-11, August 2004].
: [http://www.ngdc.noaa.gov/mgg/fliers/01mgg04.html ETOPO2v2 data download] (take for example the ETOPO2v2g_f4_LSB.flt file)

=== GTOPO30 (DEM) ===

* Data [http://eros.usgs.gov/#/Find_Data/Products_and_Data_Available/gtopo30_info download] - Import with {{cmd|r.in.gdal}}.

''Note:'' To avoid that the GTOPO30 data are read incorrectly, you can add a new line "PIXELTYPE SIGNEDINT" in the .HDR to force interpretation of the file as signed rather than unsigned integers. Then the .DEM file can be imported. Finally, e.g. the 'terrain' color table can be assigned to the imported map with r.colors.

=== Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) ===

* Data [http://eros.usgs.gov/#/Find_Data/Products_and_Data_Available/GMTED2010 download] - Import with {{cmd|r.in.gdal}}.

Import of GMTED2010 tiles in GRASS GIS:

r.in.gdal 30N000E_20101117_gmted_mea075.tif out=gmted2010_30N000E_20101117
r.colors gmted2010_30N000E_20101117 color=elevation
g.region rast=gmted2010_30N000E_20101117
r.shaded.relief gmted2010_30N000E_20101117 units=meters
d.mon x0
d.rast gmted2010_30N000E_20101117.shade
d.grid 1 color=red textcolor=red

[[Image:Gmted2010_30N000E_20101117_shaded.png|thumb|center|300px|GMTED2010 example: Trento - Garda Lake - Verona area (Northern Italy)]]

=== GEBCO Bathymetric Chart ===

* The General Bathymetric Chart of the Oceans (original 1' release 2003, new 1' and 30" releases 2008)
: http://www.gebco.net/data_and_products/gridded_bathymetry_data/
: http://www.bodc.ac.uk/data/online_delivery/gebco/

{{cmd|r.in.gdal}} can be used to import the GMT netCDF files directly, or if that doesn't work you can use GMT tools to convert to an old-style native GMT format and import that with {{cmd|r.in.bin}}.
: example: (GEBCO 2003 1' data)

# convert to an old style GMT binary .grd using grdreformat
$ grdreformat 3n24s47w14w.grd 3n24s47w14w_Native.grd=bs

# then import into GRASS,
GRASS> r.in.bin -h -s bytes=2 in=3n24s47w14w_Native.grd out=3n24s47w14w

# and set some nice colors
GRASS> r.colors 3n24s47w14w rules=- << EOF
nv magenta
0% black
-7740 0:0:168
0 84:176:248
0 40:124:0
522 68:148:24
1407 148:228:108
1929 232:228:108
2028 232:228:92
2550 228:160:32
2724 216:116:8
2730 grey
2754 grey
2760 252:252:252
2874 252:252:252
2883 192:192:192
2913 192:192:192
100% 252:252:252
EOF

=== Global Multi-Resolution Topography (GMRT DEM) ===

* Global ~1 arc-second (~90 m) topography using multi-beam and satellite data in the oceans combined with SRTM on land.
* Full information at: http://www.marine-geo.org/portals/gmrt/
* Accessible via [http://www.geomapapp.org/ GeoMapApp] or [http://www.virtualocean.org/ Virtual Ocean] software.
* Very convenient to download into GRASS via wget:

export `g.region -g`
wget "http://www.marine-geo.org/cgi-bin/getgridB?west=${w}&east=${e}&south=${s}&north=${n}&resolution=1" -O /tmp/test.grd
r.in.gdal /tmp/test.grd output=GMRT -o
rm /tmp/test.grd

* Note: Downloaded file contains no projection information, but is EPSG:4326 (WGS84 Geographic). The file size is limited, but lower resolution (resolution=2,4,8) data can be downloaded for larger areas.

=== Smith and Sandwell DEM ===

* Merge info here from the [[Marine Science]] wiki page

=== SRTM DEM ===

[http://www2.jpl.nasa.gov/srtm/ Space Shuttle Radar Topography Mission]
* see [[HOWTO import SRTM elevation data]]

=== SRTM30plus data DEM ===

SRTM30plus data consists of 33 files of global topography in the same format as the SRTM30 products distributed by the USGS EROS data center. The grid resolution is 30 second which is roughly one kilometer.

Land data are based on the 1-km averages of topography derived from the USGS SRTM30 grided DEM data product created with data from the NASA Shuttle Radar Topography Mission. GTOPO30 data are used for high latitudes where SRTM data are not available.

Ocean data are based on the Smith and Sandwell global 2-minute grid between latitudes +/- 72 degrees. Higher resolution grids have been added from the LDEO Ridge Multibeam Synthesis Project and the NGDC Coastal Relief Model. Arctic bathymetry is from the International Bathymetric Chart of the Oceans (IBCAO).

All data are derived from public domain sources and these data are also in the public domain.

GRASS 6 script <code>r.in.srtm</code> described in GRASSNews vol. 3 won't work with this dataset (as it was made for the original SRTM HGT files). But you can import SRTM30plus tiles into GRASS this way:

r.in.bin -sb input=e020n40.Bathmetry.srtm output=e020n40_topex bytes=2 north=40 south=-10 east=60 west=20 r=6000 c=4800
r.colors e020n40_topex rules=etopo2

; Source
: GRASS Users Mailing List http://lists.osgeo.org/pipermail/grass-user/2005-August/030063.html
; Getting as SRTM30plus tiles: ftp://topex.ucsd.edu/pub/srtm30_plus/srtm30/data/
; Getting as SRTM30plus huge file: ftp://topex.ucsd.edu/pub/srtm30_plus/topo30/

== Imagery ==

=== AVHRR ===

* see the [[AVHRR]] wiki page

=== Blue Marble imagery ===

NASA's Blue Marble is a 500m-8 degree per-cell world wide visual image of the Earth from space, with the clouds removed.

* see the [[Blue Marble]] wiki page

=== EO-1 imagery ===

(Earth Observing-1)
* "''Advanced Land Imager (ALI) provides image data from ten spectral bands (band designations). The instrument operates in a pushbroom fashion, with a spatial resolution of 30 meters for the multispectral bands and 10 meters for the panchromatic band.''"
:-- http://eros.usgs.gov/products/satellite/eo1.php
* On-board Atmospheric Corrections

=== Global Land Cover Characteristics ===

USGS ''et al.'' generated dataset at 1km resolution. Provides global landcover characteristics.

* see the [[Global Land Cover Characteristics]] wiki page

=== LANDSAT imagery ===

Since October 1, 2008 all Landsat 7 ETM+ scenes held in the [http://landsat.usgs.gov/ USGS EROS archive] are available for download at no charge.
* Download via the [http://glovis.usgs.gov/ Glovis] online search tool (req. Java)
* Download via the USGS's [http://edcsns17.cr.usgs.gov/EarthExplorer/ EarthExplorer] interface

==== Import Modules ====

* {{cmd|r.in.gdal}} - Main import tool for complete multiband scenes
* {{cmd|r.in.wms}} - Download data covering current map region via WMS server
* [[GRASS_AddOns#r.in.onearth|r.in.onearth]] - WMS frontend for NASA's OnEarth Global Landsat Mosaic
* {{cmd|i.landsat.rgb}} - Color balancing/enhancement tool

==== See also ====

* Processing tips can be found on the [[LANDSAT]] wiki page

=== Miscellaneous ===

==== Data sources ====

* Some datasource links: http://www.ruf.rice.edu/~ben/gmt.html
* [http://www.geotorrent.org/browse.php Geotorrent.org]

==== Import Modules ====
* The {{cmd|r.in.gdal}} modules may be used to import data of [http://www.gdal.org/formats_list.html many formats], including GMT netCDF
* The {{cmd|r.in.bin}} module may be used to import raw binary files

=== MODIS imagery ===

* see the [[MODIS]] wiki page

=== Natural Earth imagery ===

* [http://www.naturalearthdata.com/ Natural Earth II]: World environment map in natural color. GeoTIFF (use the {{cmd|r.in.gdal}} module)
* see also 1:10 million, 1:50 million and 1:110million scale maps from http://www.naturalearthdata.com/

=== Orthoimagery ===

* [http://worldwindcentral.com/wiki/Sources_of_free_orthoimagery Sources of free orthoimagery]

=== Pathfinder AVHRR SST imagery ===

* see the Pathfinder [[AVHRR]] SST wiki page

=== QuickBird imagery ===

* See the [[QuickBird]] wiki page

=== SeaWiFS imagery ===

* see the [[SeaWiFS]] wiki page

=== SPOT Vegetation imagery ===

SPOT Vegetation (1km) global: NDVI data sets

* [http://free.vgt.vito.be/ SPOT Vegetation (1km, global) NDVI data set server]
* for import, see {{cmd|i.in.spotvgt}}

=== True Marble imagery ===

* [http://www.unearthedoutdoors.net/global_data/true_marble/download True Marble]: 250m world wide visual image of the Earth from space, with the clouds removed. GeoTIFF (use the {{cmd|r.in.gdal}} module)

== Climatic data ==

=== OGC WCS - Albedo example ===

GRASS imports OGC Web Coverage Service data. Example server (please suggest a better one!)
<WCS_GDAL>
<ServiceURL>http://laits.gmu.edu/cgi-bin/NWGISS/NWGISS?</ServiceURL>
<CoverageName>AUTUMN.hdf</CoverageName>
<Timeout>90</Timeout>
<Resample>nearest</Resample>
</WCS_GDAL>

Save this as albedo.xml. Import into a LatLong WGS84 location:
r.in.gdal albedo.xml out=albedo

Unfortunately this server sends out the map shifted by 0.5 pixel. This requires a fix to the map boundary coordinates:
r.region albedo n=90 s=-90 w=-180 e=180

Now apply color table and look at the map:
r.colors albedo color=byr
d.mon x0
d.rast albedo

=== SNODAS maps ===

[http://nsidc.org/data/docs/noaa/g02158_snodas_snow_cover_model/index.html Snow Data Assimilation System] data that support hydrological modeling and analysis. First download the data, and untar them (once for each month, and once for each day), and you should get pairs of “.dat” and “.Hdr” files. The data files are stored in flat 16-bit binary format, so assuming that “snowdas_in.dat” is the name of the input file, at the GRASS prompt:

r.in.bin -bs bytes=2 rows=3351 cols=6935 north=52.874583333332339 \
south=24.949583333333454 east=-66.942083333334011 west=-124.733749999998366 \
anull=-9999 input=snowdas_input.dat output=snowdas

=== WorldClim maps ===

[http://www.worldclim.org/ WorldClim] is a set of global climate layers (climate grids) with a spatial resolution of a square kilometer.
* Load into a Lat/Lon WGS84 location (EPSG:4326)
* Import with {{cmd|r.in.bin}} or {{cmd|r.in.gdal}}
* {{cmd|r.in.gdal}} will read .BIL format, see the {{cmd|r.in.srtm}} shell script for hints
* binary format is 2 byte integer. Multiply by 10 using {{cmd|r.mapcalc}} to convert units. See http://www.worldclim.org/format.htm for more information and the [[MODIS]] help page for example of converting raw to data units.

== Population maps ==

=== Gridded Population of the World ===

* http://sedac.ciesin.columbia.edu/gpw/global.jsp

Import with {{cmd|r.in.gdal}}, assign population color table with {{cmd|r.colors}}

== Topographic maps ==
=== Soviet topographic maps ===

* [http://en.poehali.org/maps Soviet topographic maps] as geocoded GeoTIFFs

= Vector data =

=== CDC Geographic Boundary and Public Health Maps ===

* http://www.cdc.gov/epiinfo/maps.htm

=== Global Administrative Areas ===

* GADM is a database of the location of the world's administrative areas (boundaries) available in shapefiles.
: http://gadm.org (extracted by country [http://gadm.org/country here])

* World Borders Dataset including ISO 3166-1 Country codes available in shapefiles.
: http://thematicmapping.org/downloads/world_borders.php
* Free GIS data from Mapping Hacks
: http://mappinghacks.com/data/

=== GSHHS World Coastline ===

GSHHS is a high resolution shoreline dataset. It is derived from data in the public domain and licensed as GPL. The shorelines are constructed entirely from hierarchically arranged closed polygons. It is closely linked to the [[GMT]] project.

* Download original data from http://www.soest.hawaii.edu/wessel/gshhs/gshhs.html

* Import with the {{AddonCmd|v.in.gshhs}} GRASS Add-on module.

* Download data from [http://www.ngdc.noaa.gov/mgg/shorelines/shorelines.html NOAA's shoreline extractor] site.
: For GRASS 6 you can download 1:250,000 shoreline data from NOAA's site in Mapgen format, which can be imported with the {{cmd|v.in.mapgen}} module.

* '''Shapefiles''' for the 1.6 version are available from ftp://ftp.ihg.uni-duisburg.de/GIS/GISData/GSHHS/

=== OpenStreetMap ===

See the [[OpenStreetMap]] wiki page.

=== SALB ===

Second Administrative Level Boundaries: ''"The SALB dataset is a global digital dataset consisting of digital maps and codes that can be downloaded on a country by country basis."''

* http://www.who.int/whosis/database/gis/salb/salb_home.htm

=== VMap0 ===

1:1 million vector data. Formerly known as ''Digital Chart of the World''

* see the two articles in [http://grass.osgeo.org/newsletter/index.php ''GRASS Newsletter vol. 3 (June 2005)'']

Check the [http://en.wikipedia.org/wiki/Vector_Map Wikipedia page] on VMAP, see the links at the bottom of that article to shapefile versions of VMAP0 and VMAP1. Those look like the versions that were, several years ago, on a NIMA (predecessor to NGA, and successor to the Defense Mapping Agency that managed the Digital Chart of the World and VMAP project) Website. Many GRASS users may prefer the shapefiles to the original Vector Product Format data.

* [http://gis-lab.info/qa/vmap0-eng.html VMap0 data in ESRI shape format]

= See also =

* [http://spatial-analyst.net/wiki/index.php?title=Global_datasets Global datasets] list by T. Hengl (with dataset download)
* The FreeGIS.org database: http://www.freegis.org/database/
* http://finder.geocommons.com/
* http://wiki.openstreetmap.org/wiki/Potential_Datasources
* http://www.geonames.org/data-sources.html
* [http://ckan.net/tag/read/geo Open Knowledge Foundation link collection]

=== European datasets ===

* [http://grass.osgeo.org/wiki/European_datasets European datasets]
* [http://preview.grid.unep.ch/index3.php?preview=data&lang=eng Global Risk Data Platform]
* [http://open-data.europa.eu/open-data/data/ European Commission Opendata Portal]: 5800+ datasets

=== National datasets ===

* [http://asdd.ga.gov.au/asdd/tech/zap/basic.html Australian Spatial Data Directory]
* [http://wiki.gfoss.it/index.php/GIS_Open_Data Italian Geodata collection]
* [http://koordinates.com/ New Zealand] data from Koordinates.com
* United States from NOAA/USGSs data portal (FIXME: link?)
* [http://geodata.gov.gr/geodata/ Greek Public Geodata] (in Greek)

=== Various datasets worldwide ===

* [http://geospatial.edublogs.org/ GEOSPATIAL DATA REPORT: Finding and Using GIS Data]
* [http://www.edenextdata.com/?q=data Edenext data portal]: Land Cover, Transport networks, Elevation, Orthoimagery, Human health and safety, Species Distribution, Atmospheric Conditions and Meteorological Geographical Features, Training Program Presentations and Data, Utility and governmental services, Hydrography, Soil, Bio geographical regions, Population distribution and Demographics
* [http://gdex.cr.usgs.gov/gdex/ Global Data Explorer USGS]: ASTER, SRTM, GTOPO etc
* [http://www.landcover.org/ landcover]
* [http://www.gripweb.org/gripweb/?q=data-information GRIPWEB’s Data & Informational Portal]: hazard & risk
* [http://sedac.ciesin.columbia.edu/data/sets/browse SEDAC]: Agriculture, Climate, Conservation, Framework Data, Governance, Hazards, Health, Infrastructure, Land Use, Marine and Coastal, Population, Poverty, Remote Sensing, Sustainability, Urban, Water
* [http://www.preventionweb.net/english/professional/maps/?pid:6&pih:2 Prevention Web]: hazard & risk
* [http://data.un.org/Default.aspx UNdata]: UN database
* [http://www.undp.org/content/undp/en/home.html UNDP home page]
* [http://www.cgiar-csi.org/data global climatic data]
* [http://csi.cgiar.org/cgiargeospatialtools.asp cosortium for spatial information CGIAR-CSI GeoSpatial Toolkits]
* [http://freegisdata.rtwilson.com/ inks to over 300 sites providing freely available geographic datasets]
* [http://www.diva-gis.org/Data Free Spatial Data]
* [http://edc2.usgs.gov/glcc/globe_int.php Global Land Cover Characteristics Data Base Version 2.0]

=== WMS servers ===

* See [[WMS]] page

[[Category: Geodata]]
[[Category: Import]]

Global datasets

2013-02-18T15:10:22Z

⚠️Mabever:

= Raster data =

== Elevation data ==

=== ASTER topography (GDEM V1) ===

Improved ASTER GDEM 1 from 2009:

GDEM global 30m elevation calculated from stereo-pair images collected by the Terra satellite.
''"This is the most complete, consistent global digital elevation data yet made available to the world."''
This is a very new dataset, at version 1 (treat as ''experimental''). Accuracy will be improved in forthcoming versions (validation with SRTM, etc.; [http://gfoss.blogspot.com/2009/08/aster-gdem-30m-quality-assessment.html see assessment here] and [http://www.viewfinderpanoramas.org/reviews.html#aster here]).

* ''[https://lpdaac.usgs.gov/lpdaac/about/news_archive/monday_june_22_20092 pre-release announcement]''
* [http://www.nasa.gov/home/hqnews/2009/jun/HQ_09-150_ASTER_Topographic_Map.html NASA press release]
* [https://wist.echo.nasa.gov/~wist/api/imswelcome/ Warehouse Inventory Search Tool] or [http://www.gdem.aster.ersdac.or.jp/search.jsp Easy search tool] (Data download)

'''Tutorial:''' [http://grass.osgeo.org/wiki/ASTER_topography ASTER topography].

''See also: [http://gfoss.blogspot.com/2009/08/aster-gdem-30m-quality-assessment.html ASTER GDEM 30m quality assessment]''

=== ASTER topography (GDEM V2) ===

Improved ASTER GDEM 2 from 2011:
* https://lpdaac.usgs.gov/products/aster_products_table/routine/aster_global_digital_elevation_model/v2/astgtm

The ASTER GDEM covers land surfaces between 83°N and 83°S and is comprised of 22,702 tiles. Tiles that contain at least 0.01% land area are included. The ASTER GDEM is distributed as Geographic Tagged Image File Format (GeoTIFF) files with geographic coordinates (latitude, longitude). The data are posted on a '''1 arc-second''' (approximately '''30–m at the equator''') grid and referenced to the 1984 World Geodetic System (WGS84)/ 1996 Earth Gravitational Model (EGM96) geoid.

'''Notes:''' this DEM can be rather well filtered and smoothed with the [http://personalpages.manchester.ac.uk/staff/neil.mitchell/mdenoise/ Sun's denoising algorithm] (using GDAL and free / open source program <mdenoise> or simply GRASS add-on {{AddonCmd|r.denoise}}.

Experiments showed that the best smoothing of ASTER GDEM 2 is reached with such parameters of <mdenoise>:
* threshold = 0.8
* iterations = 10-20

Also filtering with {{cmd|r.neighbors}} by "average" method and window size >=5 is quite useful to remove some noise from DEM.

''See also: [http://www.isprs2012.org/abstract/299.asp Validation of the ASTER Global Digital Elevation Model Version 2 over the Conterminous United States]''

=== ACE2 ===

The ACE2 Global Digital Elevation Model is available at 3", 30" and 5' spatial resolutions.

* http://tethys.eaprs.cse.dmu.ac.uk/ACE2/

Import example:
r.in.bin -f input="00N105E_3S.ACE2" output="ACE2_00N105E" bytes=4 \
order="native" north=15 south=0 east=120 west=105 \
rows=18000 cols=18000

=== CleanTOPO2 (DEM) ===

* [http://www.shadedrelief.com/cleantopo2/ CleanTOPO2 download]: Edited SRTM30 Plus World Elevation Data

Import in GRASS:
r.in.gdal CleanTOPO2.tif out=cleanTOPO2.tmp -l -o
g.region rast=cleanTOPO2 -p -g
# rescale from odd integer values to true world values
r.rescale cleanTOPO2.tmp out=cleanTOPO2 to=-10701,8248
r.colors cleanTOPO2_final col=terrain

[[Image:CleanTOPO2_map.png|thumb|center|300px|Rescaled ClearTOPO2 map]]

=== EGM2008 Geoid Data (Earth Gravitational Model) ===

Global 2.5 Minute Geoid Undulations:
* download GIS Format at http://earth-info.nga.mil/GandG/wgs84/gravitymod/egm2008/egm08_gis.html

[[Image:Trentino_egm2008_map_5m_resampled.jpg|thumb|center|300px|Geoid undulations in Trentino, Italy]]

Verifications of points can be done with the http://geographiclib.sourceforge.net/cgi-bin/GeoidEval

=== ETOPO (DEM) ===

The ETOPO datasets provide global topography and bathymetry at 1', 2', and 5' per-cell resolutions.

==== ETOPO1 (DEM) ====

* http://www.ngdc.noaa.gov/mgg/global/

* '''The ''cell registered'' version can be loaded directly into a lat/lon location'''. GRASS raster data is cell registered (see the [[GRASS raster semantics]] page)

* Special care must be taken with the ''grid registered'' version. It can not be loaded directly into a lat/lon location as the parameters found in the .hdr file exceed the limits of polar coordinate space: they have N,S rows which go 1/2 a cell beyond 90 latitude, when considered in the ''cell registered'' convention.
: So the data needs to have those 90deg N,S rows cropped away, and while we're at it we crop away a redundant overlapping column at 180 longitude. To do this we have to first tell the GIS a little fib during import to squeeze the data into lat/lon space, then crop away the spurious rows and column, then finally reset the resulting map's bounds to its true extent.

<source lang="bash">
# Import grid registered binary float, fibbing about its true extent
r.in.bin -f in=etopo1_bed_g.flt out=etopo1_bed_g.raw \
n=90 s=-90 e=180 w=-180 rows=10801 cols=21601 anull=-9999

# reduce the working region by 1 cell
g.region rast=etopo1_bed_g.raw
eval `g.region -g`
g.region n=n-$nsres s=s+$nsres e=e-$ewres -p

# save smaller raster and remove original
r.mapcalc "etopo1_bed_g.crop = etopo1_bed_g.raw"
g.remove etopo1_bed_g.raw

# re-establish the correct bounds, now that they'll fit
r.region etopo1_bed_g.crop n=89:59:30N s=89:59:30S w=179:59:30E e=179:59:30E
g.region rast=etopo1_bed_g.crop

# check that N,S,E,W and Res are all nice and clean:
r.info etopo1_bed_g.crop

# looks good, so accept the results by resetting the map name
g.rename etopo1_bed_g.crop,etopo1_bed_g

# set to use appropriate color rules
r.colors etopo1_bed_g color=etopo2

# set the 'units' metadata field (for elevation data contained within the map)
r.support etopo1_bed_g units=meters
</source>

* For the problematic ''grid registered'' version, the resulting {{cmd|r.info}} report should look like:
| Rows: 10799 |
| Columns: 21600 |
| Total Cells: 233258400 |
| Projection: Latitude-Longitude |
| N: 89:59:30N S: 89:59:30S Res: 0:01 |
| E: 179:59:30E W: 179:59:30E Res: 0:01 |
| Range of data: min = -10898 max = 8271 |
(the east and west bounds of the map touch 1/2 a cell west of 180 longitude)

* For the problematic ''grid registered'' version, since the data's grid is 1/2 a cell shifted from nicely rounded 1 arc-minutes (0:01), you'll need to ensure that the mapset's region preserves that alignment after zooming or panning:
g.region align=etopo1_bed_g -p
: (or oversample and set the region resolution to 1/2 arc-minutes (0:00:30), which will be four times as slow)

==== ETOPO2 (DEM) ====

* See the ETOPO2 (2' global) article by M.H. Bowman in the [http://grass.osgeo.org/newsletter/GRASSNews_vol1.pdf GRASS Newsletter, 1:8-11, August 2004].
: [http://www.ngdc.noaa.gov/mgg/fliers/01mgg04.html ETOPO2v2 data download] (take for example the ETOPO2v2g_f4_LSB.flt file)

=== GTOPO30 (DEM) ===

* Data [http://eros.usgs.gov/#/Find_Data/Products_and_Data_Available/gtopo30_info download] - Import with {{cmd|r.in.gdal}}.

''Note:'' To avoid that the GTOPO30 data are read incorrectly, you can add a new line "PIXELTYPE SIGNEDINT" in the .HDR to force interpretation of the file as signed rather than unsigned integers. Then the .DEM file can be imported. Finally, e.g. the 'terrain' color table can be assigned to the imported map with r.colors.

=== Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) ===

* Data [http://eros.usgs.gov/#/Find_Data/Products_and_Data_Available/GMTED2010 download] - Import with {{cmd|r.in.gdal}}.

Import of GMTED2010 tiles in GRASS GIS:

r.in.gdal 30N000E_20101117_gmted_mea075.tif out=gmted2010_30N000E_20101117
r.colors gmted2010_30N000E_20101117 color=elevation
g.region rast=gmted2010_30N000E_20101117
r.shaded.relief gmted2010_30N000E_20101117 units=meters
d.mon x0
d.rast gmted2010_30N000E_20101117.shade
d.grid 1 color=red textcolor=red

[[Image:Gmted2010_30N000E_20101117_shaded.png|thumb|center|300px|GMTED2010 example: Trento - Garda Lake - Verona area (Northern Italy)]]

=== GEBCO Bathymetric Chart ===

* The General Bathymetric Chart of the Oceans (original 1' release 2003, new 1' and 30" releases 2008)
: http://www.gebco.net/data_and_products/gridded_bathymetry_data/
: http://www.bodc.ac.uk/data/online_delivery/gebco/

{{cmd|r.in.gdal}} can be used to import the GMT netCDF files directly, or if that doesn't work you can use GMT tools to convert to an old-style native GMT format and import that with {{cmd|r.in.bin}}.
: example: (GEBCO 2003 1' data)

# convert to an old style GMT binary .grd using grdreformat
$ grdreformat 3n24s47w14w.grd 3n24s47w14w_Native.grd=bs

# then import into GRASS,
GRASS> r.in.bin -h -s bytes=2 in=3n24s47w14w_Native.grd out=3n24s47w14w

# and set some nice colors
GRASS> r.colors 3n24s47w14w rules=- << EOF
nv magenta
0% black
-7740 0:0:168
0 84:176:248
0 40:124:0
522 68:148:24
1407 148:228:108
1929 232:228:108
2028 232:228:92
2550 228:160:32
2724 216:116:8
2730 grey
2754 grey
2760 252:252:252
2874 252:252:252
2883 192:192:192
2913 192:192:192
100% 252:252:252
EOF

=== Global Multi-Resolution Topography (GMRT DEM) ===

* Global ~1 arc-second (~90 m) topography using multi-beam and satellite data in the oceans combined with SRTM on land.
* Full information at: http://www.marine-geo.org/portals/gmrt/
* Accessible via [http://www.geomapapp.org/ GeoMapApp] or [http://www.virtualocean.org/ Virtual Ocean] software.
* Very convenient to download into GRASS via wget:

export `g.region -g`
wget "http://www.marine-geo.org/cgi-bin/getgridB?west=${w}&east=${e}&south=${s}&north=${n}&resolution=1" -O /tmp/test.grd
r.in.gdal /tmp/test.grd output=GMRT -o
rm /tmp/test.grd

* Note: Downloaded file contains no projection information, but is EPSG:4326 (WGS84 Geographic). The file size is limited, but lower resolution (resolution=2,4,8) data can be downloaded for larger areas.

=== Smith and Sandwell DEM ===

* Merge info here from the [[Marine Science]] wiki page

=== SRTM DEM ===

[http://www2.jpl.nasa.gov/srtm/ Space Shuttle Radar Topography Mission]
* see [[HOWTO import SRTM elevation data]]

=== SRTM30plus data DEM ===

SRTM30plus data consists of 33 files of global topography in the same format as the SRTM30 products distributed by the USGS EROS data center. The grid resolution is 30 second which is roughly one kilometer.

Land data are based on the 1-km averages of topography derived from the USGS SRTM30 grided DEM data product created with data from the NASA Shuttle Radar Topography Mission. GTOPO30 data are used for high latitudes where SRTM data are not available.

Ocean data are based on the Smith and Sandwell global 2-minute grid between latitudes +/- 72 degrees. Higher resolution grids have been added from the LDEO Ridge Multibeam Synthesis Project and the NGDC Coastal Relief Model. Arctic bathymetry is from the International Bathymetric Chart of the Oceans (IBCAO).

All data are derived from public domain sources and these data are also in the public domain.

GRASS 6 script <code>r.in.srtm</code> described in GRASSNews vol. 3 won't work with this dataset (as it was made for the original SRTM HGT files). But you can import SRTM30plus tiles into GRASS this way:

r.in.bin -sb input=e020n40.Bathmetry.srtm output=e020n40_topex bytes=2 north=40 south=-10 east=60 west=20 r=6000 c=4800
r.colors e020n40_topex rules=etopo2

; Source
: GRASS Users Mailing List http://lists.osgeo.org/pipermail/grass-user/2005-August/030063.html
; Getting as SRTM30plus tiles: ftp://topex.ucsd.edu/pub/srtm30_plus/srtm30/data/
; Getting as SRTM30plus huge file: ftp://topex.ucsd.edu/pub/srtm30_plus/topo30/

== Imagery ==

=== AVHRR ===

* see the [[AVHRR]] wiki page

=== Blue Marble imagery ===

NASA's Blue Marble is a 500m-8 degree per-cell world wide visual image of the Earth from space, with the clouds removed.

* see the [[Blue Marble]] wiki page

=== EO-1 imagery ===

(Earth Observing-1)
* "''Advanced Land Imager (ALI) provides image data from ten spectral bands (band designations). The instrument operates in a pushbroom fashion, with a spatial resolution of 30 meters for the multispectral bands and 10 meters for the panchromatic band.''"
:-- http://eros.usgs.gov/products/satellite/eo1.php
* On-board Atmospheric Corrections

=== Global Land Cover Characteristics ===

USGS ''et al.'' generated dataset at 1km resolution. Provides global landcover characteristics.

* see the [[Global Land Cover Characteristics]] wiki page

=== LANDSAT imagery ===

Since October 1, 2008 all Landsat 7 ETM+ scenes held in the [http://landsat.usgs.gov/ USGS EROS archive] are available for download at no charge.
* Download via the [http://glovis.usgs.gov/ Glovis] online search tool (req. Java)
* Download via the USGS's [http://edcsns17.cr.usgs.gov/EarthExplorer/ EarthExplorer] interface

==== Import Modules ====

* {{cmd|r.in.gdal}} - Main import tool for complete multiband scenes
* {{cmd|r.in.wms}} - Download data covering current map region via WMS server
* [[GRASS_AddOns#r.in.onearth|r.in.onearth]] - WMS frontend for NASA's OnEarth Global Landsat Mosaic
* {{cmd|i.landsat.rgb}} - Color balancing/enhancement tool

==== See also ====

* Processing tips can be found on the [[LANDSAT]] wiki page

=== Miscellaneous ===

==== Data sources ====

* Some datasource links: http://www.ruf.rice.edu/~ben/gmt.html
* [http://www.geotorrent.org/browse.php Geotorrent.org]

==== Import Modules ====
* The {{cmd|r.in.gdal}} modules may be used to import data of [http://www.gdal.org/formats_list.html many formats], including GMT netCDF
* The {{cmd|r.in.bin}} module may be used to import raw binary files

=== MODIS imagery ===

* see the [[MODIS]] wiki page

=== Natural Earth imagery ===

* [http://www.naturalearthdata.com/ Natural Earth II]: World environment map in natural color. GeoTIFF (use the {{cmd|r.in.gdal}} module)
* see also 1:10 million, 1:50 million and 1:110million scale maps from http://www.naturalearthdata.com/

=== Orthoimagery ===

* [http://worldwindcentral.com/wiki/Sources_of_free_orthoimagery Sources of free orthoimagery]

=== Pathfinder AVHRR SST imagery ===

* see the Pathfinder [[AVHRR]] SST wiki page

=== QuickBird imagery ===

* See the [[QuickBird]] wiki page

=== SeaWiFS imagery ===

* see the [[SeaWiFS]] wiki page

=== SPOT Vegetation imagery ===

SPOT Vegetation (1km) global: NDVI data sets

* [http://free.vgt.vito.be/ SPOT Vegetation (1km, global) NDVI data set server]
* for import, see {{cmd|i.in.spotvgt}}

=== True Marble imagery ===

* [http://www.unearthedoutdoors.net/global_data/true_marble/download True Marble]: 250m world wide visual image of the Earth from space, with the clouds removed. GeoTIFF (use the {{cmd|r.in.gdal}} module)

== Climatic data ==

=== WorldClim maps ===

[http://www.worldclim.org/ WorldClim] is a set of global climate layers (climate grids) with a spatial resolution of a square kilometer.
* Load into a Lat/Lon WGS84 location (EPSG:4326)
* Import with {{cmd|r.in.bin}} or {{cmd|r.in.gdal}}
* {{cmd|r.in.gdal}} will read .BIL format, see the {{cmd|r.in.srtm}} shell script for hints
* binary format is 2 byte integer. Multiply by 10 using {{cmd|r.mapcalc}} to convert units. See http://www.worldclim.org/format.htm for more information and the [[MODIS]] help page for example of converting raw to data units.

=== OGC WCS - Albedo example ===

GRASS imports OGC Web Coverage Service data. Example server (please suggest a better one!)
<WCS_GDAL>
<ServiceURL>http://laits.gmu.edu/cgi-bin/NWGISS/NWGISS?</ServiceURL>
<CoverageName>AUTUMN.hdf</CoverageName>
<Timeout>90</Timeout>
<Resample>nearest</Resample>
</WCS_GDAL>

Save this as albedo.xml. Import into a LatLong WGS84 location:
r.in.gdal albedo.xml out=albedo

Unfortunately this server sends out the map shifted by 0.5 pixel. This requires a fix to the map boundary coordinates:
r.region albedo n=90 s=-90 w=-180 e=180

Now apply color table and look at the map:
r.colors albedo color=byr
d.mon x0
d.rast albedo

=== SNODAS maps ===

[http://nsidc.org/data/docs/noaa/g02158_snodas_snow_cover_model/index.html Snow Data Assimilation System] data that support hydrological modeling and analysis. First download the data, and untar them (once for each month, and once for each day), and you should get pairs of “.dat” and “.Hdr” files. The data files are stored in flat 16-bit binary format, so assuming that “snowdas_in.dat” is the name of the input file, at the GRASS prompt:

r.in.bin -bs bytes=2 rows=3351 cols=6935 north=52.874583333332339 \
south=24.949583333333454 east=-66.942083333334011 west=-124.733749999998366 \
anull=-9999 input=snowdas_input.dat output=snowdas

== Population maps ==

=== Gridded Population of the World ===

* http://sedac.ciesin.columbia.edu/gpw/global.jsp

Import with {{cmd|r.in.gdal}}, assign population color table with {{cmd|r.colors}}

== Topographic maps ==
=== Soviet topographic maps ===

* [http://en.poehali.org/maps Soviet topographic maps] as geocoded GeoTIFFs

= Vector data =

=== CDC Geographic Boundary and Public Health Maps ===

* http://www.cdc.gov/epiinfo/maps.htm

=== Global Administrative Areas ===

* GADM is a database of the location of the world's administrative areas (boundaries) available in shapefiles.
: http://gadm.org (extracted by country [http://gadm.org/country here])

* World Borders Dataset including ISO 3166-1 Country codes available in shapefiles.
: http://thematicmapping.org/downloads/world_borders.php
* Free GIS data from Mapping Hacks
: http://mappinghacks.com/data/

=== GSHHS World Coastline ===

GSHHS is a high resolution shoreline dataset. It is derived from data in the public domain and licensed as GPL. The shorelines are constructed entirely from hierarchically arranged closed polygons. It is closely linked to the [[GMT]] project.

* Download original data from http://www.soest.hawaii.edu/wessel/gshhs/gshhs.html

* Import with the {{AddonCmd|v.in.gshhs}} GRASS Add-on module.

* Download data from [http://www.ngdc.noaa.gov/mgg/shorelines/shorelines.html NOAA's shoreline extractor] site.
: For GRASS 6 you can download 1:250,000 shoreline data from NOAA's site in Mapgen format, which can be imported with the {{cmd|v.in.mapgen}} module.

* '''Shapefiles''' for the 1.6 version are available from ftp://ftp.ihg.uni-duisburg.de/GIS/GISData/GSHHS/

=== OpenStreetMap ===

See the [[OpenStreetMap]] wiki page.

=== SALB ===

Second Administrative Level Boundaries: ''"The SALB dataset is a global digital dataset consisting of digital maps and codes that can be downloaded on a country by country basis."''

* http://www.who.int/whosis/database/gis/salb/salb_home.htm

=== VMap0 ===

1:1 million vector data. Formerly known as ''Digital Chart of the World''

* see the two articles in [http://grass.osgeo.org/newsletter/index.php ''GRASS Newsletter vol. 3 (June 2005)'']

Check the [http://en.wikipedia.org/wiki/Vector_Map Wikipedia page] on VMAP, see the links at the bottom of that article to shapefile versions of VMAP0 and VMAP1. Those look like the versions that were, several years ago, on a NIMA (predecessor to NGA, and successor to the Defense Mapping Agency that managed the Digital Chart of the World and VMAP project) Website. Many GRASS users may prefer the shapefiles to the original Vector Product Format data.

* [http://gis-lab.info/qa/vmap0-eng.html VMap0 data in ESRI shape format]

= See also =

* [http://spatial-analyst.net/wiki/index.php?title=Global_datasets Global datasets] list by T. Hengl (with dataset download)
* The FreeGIS.org database: http://www.freegis.org/database/
* http://finder.geocommons.com/
* http://wiki.openstreetmap.org/wiki/Potential_Datasources
* http://www.geonames.org/data-sources.html
* [http://ckan.net/tag/read/geo Open Knowledge Foundation link collection]

=== National datasets ===

* [http://asdd.ga.gov.au/asdd/tech/zap/basic.html Australian Spatial Data Directory]
* [http://wiki.gfoss.it/index.php/GIS_Open_Data Italian Geodata collection]
* [http://koordinates.com/ New Zealand] data from Koordinates.com
* United States from NOAA/USGSs data portal (FIXME: link?)
* [http://geodata.gov.gr/geodata/ Greek Public Geodata] (in Greek)

=== European datasets ===

* [http://grass.osgeo.org/wiki/European_datasets European datasets]
* [http://preview.grid.unep.ch/index3.php?preview=data&lang=eng Global Risk Data Platform]
* [http://open-data.europa.eu/open-data/data/ European Commission Opendata Portal]: 5800+ datasets

=== Various datasets worldwide ===

* [http://geospatial.edublogs.org/ GEOSPATIAL DATA REPORT: Finding and Using GIS Data]
* [http://www.edenextdata.com/?q=data Edenext data portal]: Land Cover, Transport networks, Elevation, Orthoimagery, Human health and safety, Species Distribution, Atmospheric Conditions and Meteorological Geographical Features, Training Program Presentations and Data, Utility and governmental services, Hydrography, Soil, Bio geographical regions, Population distribution and Demographics
* [http://gdex.cr.usgs.gov/gdex/ Global Data Explorer USGS]: ASTER, SRTM, GTOPO etc
* [http://www.landcover.org/ landcover]
* [http://www.gripweb.org/gripweb/?q=data-information GRIPWEB’s Data & Informational Portal]: hazard & risk
* [http://sedac.ciesin.columbia.edu/data/sets/browse SEDAC]: Agriculture, Climate, Conservation, Framework Data, Governance, Hazards, Health, Infrastructure, Land Use, Marine and Coastal, Population, Poverty, Remote Sensing, Sustainability, Urban, Water
* [http://www.preventionweb.net/english/professional/maps/?pid:6&pih:2 Prevention Web]: hazard & risk
* [http://data.un.org/Default.aspx UNdata]: UN database
* [http://www.undp.org/content/undp/en/home.html UNDP home page]
* [http://www.cgiar-csi.org/data global climatic data]
* [http://csi.cgiar.org/cgiargeospatialtools.asp cosortium for spatial information CGIAR-CSI GeoSpatial Toolkits]
* [http://freegisdata.rtwilson.com/ inks to over 300 sites providing freely available geographic datasets]
* [http://www.diva-gis.org/Data Free Spatial Data]
* [http://edc2.usgs.gov/glcc/globe_int.php Global Land Cover Characteristics Data Base Version 2.0]

=== WMS servers ===

* See [[WMS]] page

[[Category: Geodata]]
[[Category: Import]]

Global Land Cover Characteristics

2013-02-18T15:08:03Z

⚠️Mabever:

== Global Land Cover Characteristics ==

=== About ===

The U.S. Geological Survey's (USGS) National Center for Earth Resources Observation and Science (EROS), the University of Nebraska-Lincoln (UNL) and the Joint Research Centre of the European Commission have generated a 1-km resolution global land cover characteristics data base for use in a wide range of environmental research and modeling applications (Loveland and others, 2000). The land cover characterization effort is part of the National Aeronautics and Space Administration (NASA) Earth Observing System Pathfinder Program and the International Geosphere-Biosphere Programme-Data and Information System focus 1 activity. Funding for the project is provided by the USGS, NASA, U.S. Environmental Protection Agency, National Oceanic and Atmospheric Administration, U.S. Forest Service, and the United Nations Environment Programme. Taken from [http://edc2.usgs.gov/glcc/globdoc2_0.php USGS GLCC global readme].

* See the [http://edc2.usgs.gov/glcc/globe_int.php GLobal Land Cover Characteristics homepage] at USGS

* Data is available globally, or by continent

* The data can be downloaded from their FTP site, detailed [http://edc2.usgs.gov/glcc/globdoc2_0.php#anony here]

* Data is availble at a 1km resolution

* The compressed filesize for the global set is 27.5mb. The uncompressed file size is 933mb

* Data is in a headerless binary format with a .img file extension

* Data is availble in Interrupted Goode Homolosine and a Lat Long Geographic projection.

=== Import ===

Instructions below relate to Lat Long Geographic projection

* Download required data

* Open a lat/lon WGS84 location (EPSG code 4326)

* Extract required binary grid (.img file) from downloaded archive

* Open readme1st.txt from downloaded compressed archive and use the contained values to set GRASS region extents

* Import using r.in.bin, in bounds tab enter all information from readme1st.txt

== See also ==

* [[AVHRR]]

[[Category: Geodata]]
[[Category: Import]]

Global datasets

2013-02-18T14:49:45Z

⚠️Mabever:

= Raster data =

== Elevation data ==

=== ASTER topography (GDEM V1) ===

Improved ASTER GDEM 1 from 2009:

GDEM global 30m elevation calculated from stereo-pair images collected by the Terra satellite.
''"This is the most complete, consistent global digital elevation data yet made available to the world."''
This is a very new dataset, at version 1 (treat as ''experimental''). Accuracy will be improved in forthcoming versions (validation with SRTM, etc.; [http://gfoss.blogspot.com/2009/08/aster-gdem-30m-quality-assessment.html see assessment here] and [http://www.viewfinderpanoramas.org/reviews.html#aster here]).

* ''[https://lpdaac.usgs.gov/lpdaac/about/news_archive/monday_june_22_20092 pre-release announcement]''
* [http://www.nasa.gov/home/hqnews/2009/jun/HQ_09-150_ASTER_Topographic_Map.html NASA press release]
* [https://wist.echo.nasa.gov/~wist/api/imswelcome/ Warehouse Inventory Search Tool] or [http://www.gdem.aster.ersdac.or.jp/search.jsp Easy search tool] (Data download)

'''Tutorial:''' [http://grass.osgeo.org/wiki/ASTER_topography ASTER topography].

''See also: [http://gfoss.blogspot.com/2009/08/aster-gdem-30m-quality-assessment.html ASTER GDEM 30m quality assessment]''

=== ASTER topography (GDEM V2) ===

Improved ASTER GDEM 2 from 2011:
* https://lpdaac.usgs.gov/products/aster_products_table/routine/aster_global_digital_elevation_model/v2/astgtm

The ASTER GDEM covers land surfaces between 83°N and 83°S and is comprised of 22,702 tiles. Tiles that contain at least 0.01% land area are included. The ASTER GDEM is distributed as Geographic Tagged Image File Format (GeoTIFF) files with geographic coordinates (latitude, longitude). The data are posted on a '''1 arc-second''' (approximately '''30–m at the equator''') grid and referenced to the 1984 World Geodetic System (WGS84)/ 1996 Earth Gravitational Model (EGM96) geoid.

'''Notes:''' this DEM can be rather well filtered and smoothed with the [http://personalpages.manchester.ac.uk/staff/neil.mitchell/mdenoise/ Sun's denoising algorithm] (using GDAL and free / open source program <mdenoise> or simply GRASS add-on {{AddonCmd|r.denoise}}.

Experiments showed that the best smoothing of ASTER GDEM 2 is reached with such parameters of <mdenoise>:
* threshold = 0.8
* iterations = 10-20

Also filtering with {{cmd|r.neighbors}} by "average" method and window size >=5 is quite useful to remove some noise from DEM.

''See also: [http://www.isprs2012.org/abstract/299.asp Validation of the ASTER Global Digital Elevation Model Version 2 over the Conterminous United States]''

=== ACE2 ===

The ACE2 Global Digital Elevation Model is available at 3", 30" and 5' spatial resolutions.

* http://tethys.eaprs.cse.dmu.ac.uk/ACE2/

Import example:
r.in.bin -f input="00N105E_3S.ACE2" output="ACE2_00N105E" bytes=4 \
order="native" north=15 south=0 east=120 west=105 \
rows=18000 cols=18000

=== ETOPO (DEM) ===

The ETOPO datasets provide global topography and bathymetry at 1', 2', and 5' per-cell resolutions.

==== ETOPO1 (DEM) ====

* http://www.ngdc.noaa.gov/mgg/global/

* '''The ''cell registered'' version can be loaded directly into a lat/lon location'''. GRASS raster data is cell registered (see the [[GRASS raster semantics]] page)

* Special care must be taken with the ''grid registered'' version. It can not be loaded directly into a lat/lon location as the parameters found in the .hdr file exceed the limits of polar coordinate space: they have N,S rows which go 1/2 a cell beyond 90 latitude, when considered in the ''cell registered'' convention.
: So the data needs to have those 90deg N,S rows cropped away, and while we're at it we crop away a redundant overlapping column at 180 longitude. To do this we have to first tell the GIS a little fib during import to squeeze the data into lat/lon space, then crop away the spurious rows and column, then finally reset the resulting map's bounds to its true extent.

<source lang="bash">
# Import grid registered binary float, fibbing about its true extent
r.in.bin -f in=etopo1_bed_g.flt out=etopo1_bed_g.raw \
n=90 s=-90 e=180 w=-180 rows=10801 cols=21601 anull=-9999

# reduce the working region by 1 cell
g.region rast=etopo1_bed_g.raw
eval `g.region -g`
g.region n=n-$nsres s=s+$nsres e=e-$ewres -p

# save smaller raster and remove original
r.mapcalc "etopo1_bed_g.crop = etopo1_bed_g.raw"
g.remove etopo1_bed_g.raw

# re-establish the correct bounds, now that they'll fit
r.region etopo1_bed_g.crop n=89:59:30N s=89:59:30S w=179:59:30E e=179:59:30E
g.region rast=etopo1_bed_g.crop

# check that N,S,E,W and Res are all nice and clean:
r.info etopo1_bed_g.crop

# looks good, so accept the results by resetting the map name
g.rename etopo1_bed_g.crop,etopo1_bed_g

# set to use appropriate color rules
r.colors etopo1_bed_g color=etopo2

# set the 'units' metadata field (for elevation data contained within the map)
r.support etopo1_bed_g units=meters
</source>

* For the problematic ''grid registered'' version, the resulting {{cmd|r.info}} report should look like:
| Rows: 10799 |
| Columns: 21600 |
| Total Cells: 233258400 |
| Projection: Latitude-Longitude |
| N: 89:59:30N S: 89:59:30S Res: 0:01 |
| E: 179:59:30E W: 179:59:30E Res: 0:01 |
| Range of data: min = -10898 max = 8271 |
(the east and west bounds of the map touch 1/2 a cell west of 180 longitude)

* For the problematic ''grid registered'' version, since the data's grid is 1/2 a cell shifted from nicely rounded 1 arc-minutes (0:01), you'll need to ensure that the mapset's region preserves that alignment after zooming or panning:
g.region align=etopo1_bed_g -p
: (or oversample and set the region resolution to 1/2 arc-minutes (0:00:30), which will be four times as slow)

==== ETOPO2 (DEM) ====

* See the ETOPO2 (2' global) article by M.H. Bowman in the [http://grass.osgeo.org/newsletter/GRASSNews_vol1.pdf GRASS Newsletter, 1:8-11, August 2004].
: [http://www.ngdc.noaa.gov/mgg/fliers/01mgg04.html ETOPO2v2 data download] (take for example the ETOPO2v2g_f4_LSB.flt file)

=== GTOPO30 (DEM) ===

* Data [http://eros.usgs.gov/#/Find_Data/Products_and_Data_Available/gtopo30_info download] - Import with {{cmd|r.in.gdal}}.

''Note:'' To avoid that the GTOPO30 data are read incorrectly, you can add a new line "PIXELTYPE SIGNEDINT" in the .HDR to force interpretation of the file as signed rather than unsigned integers. Then the .DEM file can be imported. Finally, e.g. the 'terrain' color table can be assigned to the imported map with r.colors.

=== Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) ===

* Data [http://eros.usgs.gov/#/Find_Data/Products_and_Data_Available/GMTED2010 download] - Import with {{cmd|r.in.gdal}}.

Import of GMTED2010 tiles in GRASS GIS:

r.in.gdal 30N000E_20101117_gmted_mea075.tif out=gmted2010_30N000E_20101117
r.colors gmted2010_30N000E_20101117 color=elevation
g.region rast=gmted2010_30N000E_20101117
r.shaded.relief gmted2010_30N000E_20101117 units=meters
d.mon x0
d.rast gmted2010_30N000E_20101117.shade
d.grid 1 color=red textcolor=red

[[Image:Gmted2010_30N000E_20101117_shaded.png|thumb|center|300px|GMTED2010 example: Trento - Garda Lake - Verona area (Northern Italy)]]

=== CleanTOPO2 (DEM) ===

* [http://www.shadedrelief.com/cleantopo2/ CleanTOPO2 download]: Edited SRTM30 Plus World Elevation Data

Import in GRASS:
r.in.gdal CleanTOPO2.tif out=cleanTOPO2.tmp -l -o
g.region rast=cleanTOPO2 -p -g
# rescale from odd integer values to true world values
r.rescale cleanTOPO2.tmp out=cleanTOPO2 to=-10701,8248
r.colors cleanTOPO2_final col=terrain

[[Image:CleanTOPO2_map.png|thumb|center|300px|Rescaled ClearTOPO2 map]]

=== GEBCO Bathymetric Chart ===

* The General Bathymetric Chart of the Oceans (original 1' release 2003, new 1' and 30" releases 2008)
: http://www.gebco.net/data_and_products/gridded_bathymetry_data/
: http://www.bodc.ac.uk/data/online_delivery/gebco/

{{cmd|r.in.gdal}} can be used to import the GMT netCDF files directly, or if that doesn't work you can use GMT tools to convert to an old-style native GMT format and import that with {{cmd|r.in.bin}}.
: example: (GEBCO 2003 1' data)

# convert to an old style GMT binary .grd using grdreformat
$ grdreformat 3n24s47w14w.grd 3n24s47w14w_Native.grd=bs

# then import into GRASS,
GRASS> r.in.bin -h -s bytes=2 in=3n24s47w14w_Native.grd out=3n24s47w14w

# and set some nice colors
GRASS> r.colors 3n24s47w14w rules=- << EOF
nv magenta
0% black
-7740 0:0:168
0 84:176:248
0 40:124:0
522 68:148:24
1407 148:228:108
1929 232:228:108
2028 232:228:92
2550 228:160:32
2724 216:116:8
2730 grey
2754 grey
2760 252:252:252
2874 252:252:252
2883 192:192:192
2913 192:192:192
100% 252:252:252
EOF

=== Global Multi-Resolution Topography (GMRT DEM) ===

* Global ~1 arc-second (~90 m) topography using multi-beam and satellite data in the oceans combined with SRTM on land.
* Full information at: http://www.marine-geo.org/portals/gmrt/
* Accessible via [http://www.geomapapp.org/ GeoMapApp] or [http://www.virtualocean.org/ Virtual Ocean] software.
* Very convenient to download into GRASS via wget:

export `g.region -g`
wget "http://www.marine-geo.org/cgi-bin/getgridB?west=${w}&east=${e}&south=${s}&north=${n}&resolution=1" -O /tmp/test.grd
r.in.gdal /tmp/test.grd output=GMRT -o
rm /tmp/test.grd

* Note: Downloaded file contains no projection information, but is EPSG:4326 (WGS84 Geographic). The file size is limited, but lower resolution (resolution=2,4,8) data can be downloaded for larger areas.

=== Smith and Sandwell DEM ===

* Merge info here from the [[Marine Science]] wiki page

=== SRTM DEM ===

[http://www2.jpl.nasa.gov/srtm/ Space Shuttle Radar Topography Mission]
* see [[HOWTO import SRTM elevation data]]

=== SRTM30plus data DEM ===

SRTM30plus data consists of 33 files of global topography in the same format as the SRTM30 products distributed by the USGS EROS data center. The grid resolution is 30 second which is roughly one kilometer.

Land data are based on the 1-km averages of topography derived from the USGS SRTM30 grided DEM data product created with data from the NASA Shuttle Radar Topography Mission. GTOPO30 data are used for high latitudes where SRTM data are not available.

Ocean data are based on the Smith and Sandwell global 2-minute grid between latitudes +/- 72 degrees. Higher resolution grids have been added from the LDEO Ridge Multibeam Synthesis Project and the NGDC Coastal Relief Model. Arctic bathymetry is from the International Bathymetric Chart of the Oceans (IBCAO).

All data are derived from public domain sources and these data are also in the public domain.

GRASS 6 script <code>r.in.srtm</code> described in GRASSNews vol. 3 won't work with this dataset (as it was made for the original SRTM HGT files). But you can import SRTM30plus tiles into GRASS this way:

r.in.bin -sb input=e020n40.Bathmetry.srtm output=e020n40_topex bytes=2 north=40 south=-10 east=60 west=20 r=6000 c=4800
r.colors e020n40_topex rules=etopo2

; Source
: GRASS Users Mailing List http://lists.osgeo.org/pipermail/grass-user/2005-August/030063.html
; Getting as SRTM30plus tiles: ftp://topex.ucsd.edu/pub/srtm30_plus/srtm30/data/
; Getting as SRTM30plus huge file: ftp://topex.ucsd.edu/pub/srtm30_plus/topo30/

=== EGM2008 Geoid Data (Earth Gravitational Model) ===

Global 2.5 Minute Geoid Undulations:
* download GIS Format at http://earth-info.nga.mil/GandG/wgs84/gravitymod/egm2008/egm08_gis.html

[[Image:Trentino_egm2008_map_5m_resampled.jpg|thumb|center|300px|Geoid undulations in Trentino, Italy]]

Verifications of points can be done with the http://geographiclib.sourceforge.net/cgi-bin/GeoidEval

== Imagery ==

=== AVHRR ===

* see the [[AVHRR]] wiki page

=== Blue Marble imagery ===

NASA's Blue Marble is a 500m-8 degree per-cell world wide visual image of the Earth from space, with the clouds removed.

* see the [[Blue Marble]] wiki page

=== EO-1 imagery ===

(Earth Observing-1)
* "''Advanced Land Imager (ALI) provides image data from ten spectral bands (band designations). The instrument operates in a pushbroom fashion, with a spatial resolution of 30 meters for the multispectral bands and 10 meters for the panchromatic band.''"
:-- http://eros.usgs.gov/products/satellite/eo1.php
* On-board Atmospheric Corrections

=== Global Land Cover Characteristics ===

USGS ''et al.'' generated dataset at 1km resolution. Provides global landcover characteristics.

* see the [[Global Land Cover Characteristics]] wiki page

=== LANDSAT imagery ===

Since October 1, 2008 all Landsat 7 ETM+ scenes held in the [http://landsat.usgs.gov/ USGS EROS archive] are available for download at no charge.
* Download via the [http://glovis.usgs.gov/ Glovis] online search tool (req. Java)
* Download via the USGS's [http://edcsns17.cr.usgs.gov/EarthExplorer/ EarthExplorer] interface

==== Import Modules ====

* {{cmd|r.in.gdal}} - Main import tool for complete multiband scenes
* {{cmd|r.in.wms}} - Download data covering current map region via WMS server
* [[GRASS_AddOns#r.in.onearth|r.in.onearth]] - WMS frontend for NASA's OnEarth Global Landsat Mosaic
* {{cmd|i.landsat.rgb}} - Color balancing/enhancement tool

==== See also ====

* Processing tips can be found on the [[LANDSAT]] wiki page

=== Miscellaneous ===

==== Data sources ====

* Some datasource links: http://www.ruf.rice.edu/~ben/gmt.html
* [http://www.geotorrent.org/browse.php Geotorrent.org]

==== Import Modules ====
* The {{cmd|r.in.gdal}} modules may be used to import data of [http://www.gdal.org/formats_list.html many formats], including GMT netCDF
* The {{cmd|r.in.bin}} module may be used to import raw binary files

=== MODIS imagery ===

* see the [[MODIS]] wiki page

=== Natural Earth imagery ===

* [http://www.naturalearthdata.com/ Natural Earth II]: World environment map in natural color. GeoTIFF (use the {{cmd|r.in.gdal}} module)
* see also 1:10 million, 1:50 million and 1:110million scale maps from http://www.naturalearthdata.com/

=== Orthoimagery ===

* [http://worldwindcentral.com/wiki/Sources_of_free_orthoimagery Sources of free orthoimagery]

=== Pathfinder AVHRR SST imagery ===

* see the Pathfinder [[AVHRR]] SST wiki page

=== QuickBird imagery ===

* See the [[QuickBird]] wiki page

=== SeaWiFS imagery ===

* see the [[SeaWiFS]] wiki page

=== SPOT Vegetation imagery ===

SPOT Vegetation (1km) global: NDVI data sets

* [http://free.vgt.vito.be/ SPOT Vegetation (1km, global) NDVI data set server]
* for import, see {{cmd|i.in.spotvgt}}

=== True Marble imagery ===

* [http://www.unearthedoutdoors.net/global_data/true_marble/download True Marble]: 250m world wide visual image of the Earth from space, with the clouds removed. GeoTIFF (use the {{cmd|r.in.gdal}} module)

== Climatic data ==

=== WorldClim maps ===

[http://www.worldclim.org/ WorldClim] is a set of global climate layers (climate grids) with a spatial resolution of a square kilometer.
* Load into a Lat/Lon WGS84 location (EPSG:4326)
* Import with {{cmd|r.in.bin}} or {{cmd|r.in.gdal}}
* {{cmd|r.in.gdal}} will read .BIL format, see the {{cmd|r.in.srtm}} shell script for hints
* binary format is 2 byte integer. Multiply by 10 using {{cmd|r.mapcalc}} to convert units. See http://www.worldclim.org/format.htm for more information and the [[MODIS]] help page for example of converting raw to data units.

=== OGC WCS - Albedo example ===

GRASS imports OGC Web Coverage Service data. Example server (please suggest a better one!)
<WCS_GDAL>
<ServiceURL>http://laits.gmu.edu/cgi-bin/NWGISS/NWGISS?</ServiceURL>
<CoverageName>AUTUMN.hdf</CoverageName>
<Timeout>90</Timeout>
<Resample>nearest</Resample>
</WCS_GDAL>

Save this as albedo.xml. Import into a LatLong WGS84 location:
r.in.gdal albedo.xml out=albedo

Unfortunately this server sends out the map shifted by 0.5 pixel. This requires a fix to the map boundary coordinates:
r.region albedo n=90 s=-90 w=-180 e=180

Now apply color table and look at the map:
r.colors albedo color=byr
d.mon x0
d.rast albedo

=== SNODAS maps ===

[http://nsidc.org/data/docs/noaa/g02158_snodas_snow_cover_model/index.html Snow Data Assimilation System] data that support hydrological modeling and analysis. First download the data, and untar them (once for each month, and once for each day), and you should get pairs of “.dat” and “.Hdr” files. The data files are stored in flat 16-bit binary format, so assuming that “snowdas_in.dat” is the name of the input file, at the GRASS prompt:

r.in.bin -bs bytes=2 rows=3351 cols=6935 north=52.874583333332339 \
south=24.949583333333454 east=-66.942083333334011 west=-124.733749999998366 \
anull=-9999 input=snowdas_input.dat output=snowdas

== Population maps ==

=== Gridded Population of the World ===

* http://sedac.ciesin.columbia.edu/gpw/global.jsp

Import with {{cmd|r.in.gdal}}, assign population color table with {{cmd|r.colors}}

== Topographic maps ==
=== Soviet topographic maps ===

* [http://en.poehali.org/maps Soviet topographic maps] as geocoded GeoTIFFs

= Vector data =

=== CDC Geographic Boundary and Public Health Maps ===

* http://www.cdc.gov/epiinfo/maps.htm

=== Global Administrative Areas ===

* GADM is a database of the location of the world's administrative areas (boundaries) available in shapefiles.
: http://gadm.org (extracted by country [http://gadm.org/country here])

* World Borders Dataset including ISO 3166-1 Country codes available in shapefiles.
: http://thematicmapping.org/downloads/world_borders.php
* Free GIS data from Mapping Hacks
: http://mappinghacks.com/data/

=== GSHHS World Coastline ===

GSHHS is a high resolution shoreline dataset. It is derived from data in the public domain and licensed as GPL. The shorelines are constructed entirely from hierarchically arranged closed polygons. It is closely linked to the [[GMT]] project.

* Download original data from http://www.soest.hawaii.edu/wessel/gshhs/gshhs.html

* Import with the {{AddonCmd|v.in.gshhs}} GRASS Add-on module.

* Download data from [http://www.ngdc.noaa.gov/mgg/shorelines/shorelines.html NOAA's shoreline extractor] site.
: For GRASS 6 you can download 1:250,000 shoreline data from NOAA's site in Mapgen format, which can be imported with the {{cmd|v.in.mapgen}} module.

* '''Shapefiles''' for the 1.6 version are available from ftp://ftp.ihg.uni-duisburg.de/GIS/GISData/GSHHS/

=== OpenStreetMap ===

See the [[OpenStreetMap]] wiki page.

=== SALB ===

Second Administrative Level Boundaries: ''"The SALB dataset is a global digital dataset consisting of digital maps and codes that can be downloaded on a country by country basis."''

* http://www.who.int/whosis/database/gis/salb/salb_home.htm

=== VMap0 ===

1:1 million vector data. Formerly known as ''Digital Chart of the World''

* see the two articles in [http://grass.osgeo.org/newsletter/index.php ''GRASS Newsletter vol. 3 (June 2005)'']

Check the [http://en.wikipedia.org/wiki/Vector_Map Wikipedia page] on VMAP, see the links at the bottom of that article to shapefile versions of VMAP0 and VMAP1. Those look like the versions that were, several years ago, on a NIMA (predecessor to NGA, and successor to the Defense Mapping Agency that managed the Digital Chart of the World and VMAP project) Website. Many GRASS users may prefer the shapefiles to the original Vector Product Format data.

* [http://gis-lab.info/qa/vmap0-eng.html VMap0 data in ESRI shape format]

= See also =

* [http://spatial-analyst.net/wiki/index.php?title=Global_datasets Global datasets] list by T. Hengl (with dataset download)
* The FreeGIS.org database: http://www.freegis.org/database/
* http://finder.geocommons.com/
* http://wiki.openstreetmap.org/wiki/Potential_Datasources
* http://www.geonames.org/data-sources.html
* [http://ckan.net/tag/read/geo Open Knowledge Foundation link collection]

=== National datasets ===

* [http://asdd.ga.gov.au/asdd/tech/zap/basic.html Australian Spatial Data Directory]
* [http://wiki.gfoss.it/index.php/GIS_Open_Data Italian Geodata collection]
* [http://koordinates.com/ New Zealand] data from Koordinates.com
* United States from NOAA/USGSs data portal (FIXME: link?)
* [http://geodata.gov.gr/geodata/ Greek Public Geodata] (in Greek)

=== European datasets ===

* [http://grass.osgeo.org/wiki/European_datasets European datasets]
* [http://preview.grid.unep.ch/index3.php?preview=data&lang=eng Global Risk Data Platform]
* [http://open-data.europa.eu/open-data/data/ European Commission Opendata Portal]: 5800+ datasets

=== Various datasets worldwide ===

* [http://geospatial.edublogs.org/ GEOSPATIAL DATA REPORT: Finding and Using GIS Data]
* [http://www.edenextdata.com/?q=data Edenext data portal]: Land Cover, Transport networks, Elevation, Orthoimagery, Human health and safety, Species Distribution, Atmospheric Conditions and Meteorological Geographical Features, Training Program Presentations and Data, Utility and governmental services, Hydrography, Soil, Bio geographical regions, Population distribution and Demographics
* [http://gdex.cr.usgs.gov/gdex/ Global Data Explorer USGS]: ASTER, SRTM, GTOPO etc
* [http://www.landcover.org/ landcover]
* [http://www.gripweb.org/gripweb/?q=data-information GRIPWEB’s Data & Informational Portal]: hazard & risk
* [http://sedac.ciesin.columbia.edu/data/sets/browse SEDAC]: Agriculture, Climate, Conservation, Framework Data, Governance, Hazards, Health, Infrastructure, Land Use, Marine and Coastal, Population, Poverty, Remote Sensing, Sustainability, Urban, Water
* [http://www.preventionweb.net/english/professional/maps/?pid:6&pih:2 Prevention Web]: hazard & risk
* [http://data.un.org/Default.aspx UNdata]: UN database
* [http://www.undp.org/content/undp/en/home.html UNDP home page]
* [http://www.cgiar-csi.org/data global climatic data]
* [http://csi.cgiar.org/cgiargeospatialtools.asp cosortium for spatial information CGIAR-CSI GeoSpatial Toolkits]
* [http://freegisdata.rtwilson.com/ inks to over 300 sites providing freely available geographic datasets]
* [http://www.diva-gis.org/Data Free Spatial Data]
* [http://edc2.usgs.gov/glcc/globe_int.php Global Land Cover Characteristics Data Base Version 2.0]

=== WMS servers ===

* See [[WMS]] page

[[Category: Geodata]]
[[Category: Import]]

Global Land Cover Characteristics

2013-02-18T14:48:43Z

⚠️Mabever: USGS et al. data providing global land cover characteristics.

== Global Land Cover Characteristics ==

=== About ===

The U.S. Geological Survey's (USGS) National Center for Earth Resources Observation and Science (EROS), the University of Nebraska-Lincoln (UNL) and the Joint Research Centre of the European Commission have generated a 1-km resolution global land cover characteristics data base for use in a wide range of environmental research and modeling applications (Loveland and others, 2000). The land cover characterization effort is part of the National Aeronautics and Space Administration (NASA) Earth Observing System Pathfinder Program and the International Geosphere-Biosphere Programme-Data and Information System focus 1 activity. Funding for the project is provided by the USGS, NASA, U.S. Environmental Protection Agency, National Oceanic and Atmospheric Administration, U.S. Forest Service, and the United Nations Environment Programme. Taken from [http://edc2.usgs.gov/glcc/globdoc2_0.php USGS GLCC global readme].

* See the [http://edc2.usgs.gov/glcc/globe_int.php GLobal Land Cover Characteristics homepage] at USGS

* Data is available globally, or by continent

* The data can be downloaded from their FTP site, detailed [http://edc2.usgs.gov/glcc/globdoc2_0.php#anony here]

* Data is availble at a 1km resolution

* The compressed filesize for the global set is 27.5mb. The uncompressed file size is 933mb

* Data is in a headerless binary format with a .img file extension

* Data is availble in Interrupted Goode Homolosine and a Lat Long Geographic projection.

=== Import ===

Instructions below relate to Lat Long Geographic projection

* Open a lat/lon WGS84 location (EPSG code 4326)

* Extract required binary grid from downloaded archive

* Open readme1st.txt from downloaded compressed archive and use the contained values to set GRASS region extents

* Import using r.in.bin, in bounds tab enter all information from readme1st.txt

== See also ==

* [[AVHRR]]

[[Category: Geodata]]
[[Category: Import]]