Global datasets - Revision history

⚠️Cmbarton: /* Climatic data */

2023-07-10T21:50:49Z

Climatic data

← Older revision		Revision as of 21:50, 10 July 2023
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	It furthermore provides data sets with projections of future climates based on combinations of ten general circulation models (GCMs), downscaled using five regional climate models (RCMs) and the four above mentioned contemporary baselines, under two representative concentration pathways of the IPCC-AR5 (RCP4.5 and RCP8.5). The data layers are available as GeoTIF files at spatial resolutions of 10', 5', 2.5', 1' and 30".		It furthermore provides data sets with projections of future climates based on combinations of ten general circulation models (GCMs), downscaled using five regional climate models (RCMs) and the four above mentioned contemporary baselines, under two representative concentration pathways of the IPCC-AR5 (RCP4.5 and RCP8.5). The data layers are available as GeoTIF files at spatial resolutions of 10', 5', 2.5', 1' and 30".

			=== PaleoClim maps ===
			[http://www.paleoclim.org PaleoClim] provides free, high-resolution paleoclimate data for use in biological modeling and GIS.

			The data are available at 3 different spatial resolutions; from 2.5 arc-minutes (~5 km), 5 arc-minutes (~10 km), and 10 arc-minutes (~20 km). The CHELSA data are also available in 30 arc-seconds (~1 km). Each download is a “zip” file containing up to 19 GeoTiff (.tif) files, one for each of the bioclimatic variables.

			'''Bioclimatic parameters'''

			From the high-resolution monthly temperature and precipitation values, a set of derived parameters were calculated, broadly used in ecological applications. These bioclimatic variables are derived from the monthly mean temperature (or minimum and maximum temperature, depending on their availability) and precipitation values. They are specifically developed for species distribution modelling and related ecological applications . The procedure for generating bioclimatic variables followed WorldClim and used the ‘biovars’ function of the R package dismo. Output bioclimate layers were saved as individual GeoTiffs (*tif) and projected in the WGS 1984 projection.

			Bio_1=Annual Mean Temperature [°C*10] <br>
			Bio_2=Mean Diurnal Range [°C] <br>
			Bio_3=Isothermality [Bio_2/Bio_7] <br>
			Bio_4=Temperature Seasonality [standard deviation*100] <br>
			Bio_5=Max Temperature of Warmest Month [°C*10] <br>
			Bio_6=Min Temperature of Coldest Month [°C*10] <br>
			Bio_7=Temperature Annual Range [°C*10] <br>
			Bio_8=Mean Temperature of Wettest Quarter [°C*10] <br>
			Bio_9=Mean Temperature of Driest Quarter [°C*10] <br>
			Bio_10=Mean Temperature of Warmest Quarter [°C*10] <br>
			Bio_11=Mean Temperature of Coldest Quarter [°C*10] <br>
			Bio_12=Annual Precipitation [mm/year] <br>
			Bio_13=Precipitation of Wettest Month [mm/month] <br>
			Bio_14=Precipitation of Driest Month [mm/month] <br>
			Bio_15=Precipitation Seasonality [coefficient of variation]v
			Bio_16=Precipitation of Wettest Quarter [mm/quarter] <br>
			Bio_17=Precipitation of Driest Quarter [mm/quarter] <br>
			Bio_18=Precipitation of Warmest Quarter [mm/quarter] <br>
			Bio_19=Precipitation of Coldest Quarter [mm/quarter] <br>

			'''Time Periods Represented (bp)'''

			Pleistocene: late-Holocene, Meghalayan (4.2-0.3 ka) <br>
			Pleistocene: mid-Holocene, Northgrippian (8.326-4.2 ka) <br>
			Pleistocene: early-Holocene, Greenlandian (11.7-8.326 ka) <br>
			Pleistocene: Younger Dryas Stadial (12.9-11.7 ka) <br>
			Pleistocene: Bølling-Allerød ( 14.7-12.9 ka) <br>
			Pleistocene: Heinrich Stadial 1 (17.0-14.7 ka) <br>
			Pleistocene: Last Interglacial (ca. 130 ka) <br>
			Pleistocene: MIS19 (ca. 787 ka) <br>
			Pliocene: mid-Pliocene warm period (3.205 Ma) <br>
			Pliocene: M2 (ca. 3.3 Ma)

	== Population maps ==		== Population maps ==

Neteler: +Earth at Night: nightlight maps

2020-12-31T14:20:13Z

+Earth at Night: nightlight maps

← Older revision		Revision as of 14:20, 31 December 2020
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	* [http://www.naturalearthdata.com/ Natural Earth II]: World environment map in natural color. GeoTIFF (use the {{cmd\|r.in.gdal}} module)		* [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/		* see also 1:10 million, 1:50 million and 1:110million scale maps from http://www.naturalearthdata.com/

			=== Earth at Night: nightlight maps ===

			* Earth at Night: Flat Maps https://earthobservatory.nasa.gov/features/NightLights/page3.php (GeoTIFFs)


	=== Orthoimagery ===		=== Orthoimagery ===

⚠️HamishBowman: /* National datasets */ add US NLCD and CUSP

2020-11-12T21:11:01Z

National datasets: add US NLCD and CUSP

← Older revision		Revision as of 21:11, 12 November 2020
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	* [http://www.efas.eu/ EFAS @ JRC] is a High resolution pan-European dataset for hydrologic modelling.		* [http://www.efas.eu/ EFAS @ JRC] is a High resolution pan-European dataset for hydrologic modelling.
	* [http://data.jrc.ec.europa.eu/ JRC Data Portal] In this catalogue, you can find an inventory of data that produced by the JRC in accordance with the JRC data policy. The content is continuously updated and shall not be seen as a complete inventory of JRC data. Currently, the inventory describes only a small subset of JRC data.		* [http://data.jrc.ec.europa.eu/ JRC Data Portal] In this catalogue, you can find an inventory of data that produced by the JRC in accordance with the JRC data policy. The content is continuously updated and shall not be seen as a complete inventory of JRC data. Currently, the inventory describes only a small subset of JRC data.

			=== US datasets ===

			* [[NLCD Land Cover\|NLCD: National land cover database]]
			* [[CUSP Coastline\|CUSP: NOAA Continually Updated Shoreline]]

	=== National datasets ===		=== National datasets ===

Neteler: /* NASADEM */ see also r.in.nasadem addon

2020-09-19T22:23:13Z

NASADEM: see also r.in.nasadem addon

← Older revision		Revision as of 22:23, 19 September 2020
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	https://lpdaac.usgs.gov/news/release-nasadem-data-products/		https://lpdaac.usgs.gov/news/release-nasadem-data-products/

			See also {{AddonCmd\|r.in.nasadem\|version=7}} addon

	=== Smith and Sandwell DEM ===		=== Smith and Sandwell DEM ===

⚠️Mankoff: NASADEM

2020-09-19T13:05:16Z

NASADEM

← Older revision		Revision as of 13:05, 19 September 2020
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	* 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.		* 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.

			=== NASADEM ===

			1-arc second (~30 m @ equator) global only-land.

			https://lpdaac.usgs.gov/news/release-nasadem-data-products/

	=== Smith and Sandwell DEM ===		=== Smith and Sandwell DEM ===

⚠️Mankoff: TanDEM-X

2020-09-19T13:00:15Z

TanDEM-X

← Older revision		Revision as of 13:00, 19 September 2020
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	Import into GRASS GIS 7 (lat-long location):		Import into GRASS GIS 7 (lat-long location):
	r.in.bin -sb input=N00E108.raw output=N00E108_swbd bytes=1 north=0 south=-10 east=108 west=98 r=3601 c=3601 <<= DRAFT - TODO fix n,s,e,w - calculate from filename		r.in.bin -sb input=N00E108.raw output=N00E108_swbd bytes=1 north=0 south=-10 east=108 west=98 r=3601 c=3601 <<= DRAFT - TODO fix n,s,e,w - calculate from filename

			=== TanDEM-X DEM ===

			This is a 90 m only-land DEM.
			Data from 2010-12-12 through 2015-01-16

			https://geoservice.dlr.de/data-assets/ju28hc7pui09.html

	== Soil data ==		== Soil data ==

⚠️Mankoff: Added SRTM15+

2020-09-19T12:57:23Z

Added SRTM15+

← Older revision		Revision as of 12:57, 19 September 2020
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	* Using {{cmd\|r.in.gdal}} or {{cmd\|r.import}} or {{cmd\|r.in.srtm}} or {{AddonCmd\|r.in.srtm.region}}		* Using {{cmd\|r.in.gdal}} or {{cmd\|r.import}} or {{cmd\|r.in.srtm}} or {{AddonCmd\|r.in.srtm.region}}
	* see [[HOWTO import SRTM elevation data]], focused on the SRTM 3 arc-seconds Non-Void Filled elevation data		* see [[HOWTO import SRTM elevation data]], focused on the SRTM 3 arc-seconds Non-Void Filled elevation data

			=== SRTM15+ DEM ===

			SRTM15+ data consists of 33 files of global topography in the same format as the SRTM30plus products. The grid resolution is 15 seconds which is roughly 500 m at the equator.

			https://topex.ucsd.edu/WWW_html/srtm15_plus.html

	=== SRTM30plus data DEM ===		=== SRTM30plus data DEM ===

⚠️Mankoff: /* GEBCO Bathymetric Chart */

2020-09-19T12:51:53Z

GEBCO Bathymetric Chart

← Older revision		Revision as of 12:51, 19 September 2020
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	=== GEBCO Bathymetric Chart ===		=== GEBCO Bathymetric Chart ===

	* The General Bathymetric Chart of the Oceans (original 1' release 2003, new 1' and 30" releases 2008)		* The General Bathymetric Chart of the Oceans (original 1' release 2003, new 1' and 30" releases 2008, new 15" released 2020)
	: http://www.gebco.net/data_and_products/gridded_bathymetry_data/		: http://www.gebco.net/data_and_products/gridded_bathymetry_data/
	: http://www.bodc.ac.uk/data/online_delivery/gebco/		: http://www.bodc.ac.uk/data/online_delivery/gebco/

			The GEBCO_2020 is available in NetCDF or GeoTIFF format.

	{{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}}.		{{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}}.

⚠️Mlennert: /* ESA Sentinel imagery */

2020-04-02T07:18:29Z

ESA Sentinel imagery

← Older revision		Revision as of 07:18, 2 April 2020
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	=== ESA Sentinel imagery ===		=== ESA Sentinel imagery ===

	~~All~~ Sentinel 1 and 2 data is available for download from the [https://scihub.copernicus.eu/ Open Access Hub]		The [https://grass.osgeo.org/grass-stable/manuals/addons/i.sentinel.html i.sentinel] toolbox of addons provides
			a complete suite for downloading, importing and preprocessing Sentinel imagery.

			For direct access, all Sentinel 1 and 2 data is available for download from the [https://scihub.copernicus.eu/ Open Access Hub]

	* via the [https://scihub.copernicus.eu/dhus/#/home online interactive interface]		* via the [https://scihub.copernicus.eu/dhus/#/home online interactive interface]
	* via the [https://scihub.copernicus.eu/twiki/do/view/SciHubWebPortal/APIHubDescription API]		* via the [https://scihub.copernicus.eu/twiki/do/view/SciHubWebPortal/APIHubDescription API]

	~~For~~ pre-processing~~, different~~ tools are available at		Other pre-processing tools are available at:
	* http://step.esa.int/main/ Scientific Toolbox Exploitation Platform		* http://step.esa.int/main/ Scientific Toolbox Exploitation Platform
	* https://github.com/Fernerkundung/awesome-sentinel ("Awesome Sentinel" - list of tools)		* https://github.com/Fernerkundung/awesome-sentinel ("Awesome Sentinel" - list of tools)

Neteler: +Administrative boundaries from OpenStreetMap

2018-05-10T16:21:24Z

+Administrative boundaries from OpenStreetMap

← Older revision		Revision as of 16:21, 10 May 2018
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	See the [[OpenStreetMap]] wiki page.		See the [[OpenStreetMap]] wiki page.

			==== Administrative boundaries from OpenStreetMap ====

			For a convenient download in GeoJSON and SHAPE, see https://wambachers-osm.website/boundaries/

			(using the amost invisible triangle, you can pop out details of a country down to admin level 8)

	=== SALB ===		=== SALB ===