Global datasets/id: Difference between revisions
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=== LANDSAT === | === LANDSAT === | ||
Sejak tanggal 1 Oktober 2008 semua scene Landsat 7 ETM+ tersedia di [http://landsat.usgs.gov/ arsip USGS EROS] dan dapat diunduh tanpa biaya. | |||
* | * Unduh lewat tool pencarian daring [http://glovis.usgs.gov/ Glovis] (membutuhkan Java) | ||
* | * Unduh lewat antarmuka [http://edcsns17.cr.usgs.gov/EarthExplorer/ EarthExplorer] USGS | ||
==== | ==== Modul ==== | ||
* {{cmd|r.in.gdal}} - | * {{cmd|r.in.gdal}} - Tool import utama untuk scene multiband komplit | ||
* {{cmd|r.in.wms}} - | * {{cmd|r.in.wms}} - Unduh data yang mencakup region saat ini lewat WMS server | ||
* [[GRASS_AddOns#r.in.onearth|r.in.onearth]] - WMS frontend | * [[GRASS_AddOns#r.in.onearth|r.in.onearth]] - WMS frontend dari NASA's OnEarth Global Landsat Mosaic | ||
* {{cmd|i.landsat.rgb}} - | * {{cmd|i.landsat.rgb}} - Tool untuk penajaman citra | ||
==== | ==== Lihat juga ==== | ||
* | * Tips pengolahan dapat dilihat di halaman wiki [[LANDSAT]] | ||
=== MODIS === | === MODIS === |
Revision as of 10:27, 17 January 2009
This page is in progress of translating to Bahasa Indonesia.
Data raster
Citra Blue Marble
Blue Marble dari NASA adalah sebuah citra visual permukaan bumi yang dipotret dari ruang angkasa dengan ukuran piksel 500 m-8 derajat, tanpa awan.
- lihat halaman wiki Blue Marble
ETOPO
Dataset ETOPO menyediakan sebuah peta topografi dan batimetri global dengan resolusi 1', 2', and 5' per-piksel.
ETOPO1
Versi "cell registered" dapat dimuat secara langsung dalam region lat/lon. Data raster merupakan sebuah cell registered (lihat halaman GRASS raster semantics)
Versi grid registered harus dimuat ke dalam location XY location dengan menggunakan parameter yang ada di berkas .hdr , dan harus memiliki baris 90deg N,S:
# membuat sebuah location dan mapset XY sederhana
# Impor grid registered binary float
r.in.bin -f in=etopo1_bed_g.flt out=etopo1_bed_g \
n=90.008333333335 s=-90.008333333335 e=180.00833333334 \
w=-180.00833333334 rows=10801 cols=21601 anull=-9999
r.colors out=etopo1_bed_g color=etopo2
# kurangi region dengan 1 cell
g.region rast=etopo1_bed_g
eval `g.region -g`
g.region n=n-$nsres s=s+$nsres e=e-$ewres -p
# simpan raster dengan ukuran lebih kecil dan hilangkan data awal
r.mapcalc "etopo1_bed_g.crop = etopo1_bed_g"
g.remove etopo1_bed_g
# ubah location ke lat/lon dengan menjalankan-ulang GRASS
# dalam mapset PERMANENT dan jalankan perintah g.setproj
# atau ubah semua mapset ke dalam location lat/lon
# dan edit secara manual berkas $MAPSET/cellhd/ (cara kotor, Bung!)
ETOPO2
- Lihat artikel ETOPO2 (2' global) oleh M.H. Bowman di GRASS Newsletter, 1:8-11, August 2004.
GEBCO
- The General Bathymetric Chart of the Oceans
Lain-lain
Sumber data
- Beberapa tautan sumber data: http://www.ruf.rice.edu/~ben/gmt.html
- Geotorrent.org
Modul
- Modul r.in.gdal dapat digunakan untuk melakukan impor data dari banyak format, termasuk GMT netCDF
- Modul r.in.bin dapat digunakan untuk mengimpor berkas biner generik (raw binary)
LANDSAT
Sejak tanggal 1 Oktober 2008 semua scene Landsat 7 ETM+ tersedia di arsip USGS EROS dan dapat diunduh tanpa biaya.
- Unduh lewat tool pencarian daring Glovis (membutuhkan Java)
- Unduh lewat antarmuka EarthExplorer USGS
Modul
- r.in.gdal - Tool import utama untuk scene multiband komplit
- r.in.wms - Unduh data yang mencakup region saat ini lewat WMS server
- r.in.onearth - WMS frontend dari NASA's OnEarth Global Landsat Mosaic
- i.landsat.rgb - Tool untuk penajaman citra
Lihat juga
- Tips pengolahan dapat dilihat di halaman wiki LANDSAT
MODIS
- see the MODIS wiki page
Pathfinder AVHRR SST
- see the MODIS#Pathfinder_SST wiki page
- merge that info here?
QuickBird
- Wikipedia's QuickBird entry
- Import with the r.in.gdal module
SeaWiFS
- see the MODIS#SeaWiFS wiki page
- merge that info here?
Smith and Sandwell
- Merge info here from the Marine Science wiki page
SRTM
Space Shuttle Radar Topography Mission
- see the r.in.srtm module
WorldClim
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 r.in.bin or r.in.gdal
- r.in.gdal will read .BIL format, see the r.in.srtm shell script for hints
- binary format is 2 byte integer. Multiply by 10 using 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.
Vector data
CDC Geographic Boundary and Public Health Maps
Global Administrative Areas
- GADM is a database of the location of the world's administrative areas (boundaries) available in shapefiles.
- World Borders Dataset including ISO 3166-1 Country codes available in shapefiles.
- Free GIS data from Mapping Hacks
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 v.in.gshhs module for GRASS 5 (perhaps needs to be updated to the latest version of the GSHHS format?)
- 'for GRASS 6.3+ see the gshhstograss.c program that comes with gshhs_1.10_src.zip. It creates a script to import the data.
- Download data from NOAA's shoreline extractor site. Version 1.3 is available for download as shapefiles (but this is some years old, the dataset is now up to version 1.10)
- For GRASS 6 you can download 1:250,000 shoreline data from NOAA's site in Mapgen format, which can be imported with the v.in.mapgen module.
- Shapefiles for the 1.6 version are available from ftp://ftp.ihg.uni-duisburg.de/GIS/GISData/GSHHS/
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."
VMap0
1:1 million vector data. Formerly known as Digital Chart of the World
- see the two articles in GRASS Newsletter vol. 3 (June 2005)
Misc
- The FreeGIS.org database: http://www.freegis.org/database/
- http://finder.geocommons.com/