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Land Management Data Access and Tools
NASA has land management datasets that help researchers assess land use, condition, and other information. Access a range of data and data tools such as Worldview, FIRMS, and Giovanni to make the most of land management data.
Land Management Datasets
| Dataset Sort descending | Version | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| Aboveground Biomass, Landcover, and Degradation, Kalimantan Forests, Indonesia, 2014 | 1 | FIELD SURVEYS, Airplane, MODELS | STEEL MEASURING TAPE, LIDAR, Computer | 2014-10-18 to 2014-11-30 |
N: 8 S: -5 E: 120 W: 108 |
multiple | |
| Annual Land Use and Urban Land Cover: Ethiopia, Nigeria, and South Africa, 2016-2020 | 1 | LANDSAT, Sentinel-1A, Sentinel-2A | ETM+, OLI, SENTINEL-1 C-SAR, Sentinel-2 MSI | 2016-01-01 to 2020-12-31 |
N: 16.2061 S: -35.3369 E: 49.6875 W: 2.5725 |
COG | |
| Baseline Wetland Type and Land Cover Map of the Great Lakes Basin, 2010 | 1 | LANDSAT-5, COMPUTERS, ALOS | TM, Computer, PALSAR | 2007-04-01 to 2011-04-15 |
N: 52.5534 S: 38.712 E: -71.5681 W: -97.2815 |
multiple | |
| Global Forest Ecosystem Structure and Function Data For Carbon Balance Research | 1 | NOAA-14 | AVHRR | 1897-01-01 to 2006-12-31 |
N: 67.36 S: -42.87 E: 172.75 W: -159.5 |
Shapefile | |
| Land Use and Cover Maps from Landsat, Mawas, Central Kalimantan, Indonesia, 1994-2019 | 1 | LANDSAT-8, MODELS, LANDSAT-5 | OLI, Computer, TM | 1994-01-01 to 2019-12-31 |
N: -2.16208 S: -2.56094 E: 114.648 W: 114.356 |
GeoTIFF | |
| LBA-ECO CD-06 Physical, Political, and Hydrologic Maps, Ji-Parana River Basin, Brazil | 1 | AERIAL PHOTOGRAPHS, MAPS | DIGITIZER | 1970-01-01 to 2001-12-31 |
N: -8.0333 S: -12.9269 E: -60.015 W: -63.4153 |
Shapefile | |
| LBA-ECO LC-01 Landsat TM Land Use/Land Cover, Northern Ecuadorian Amazon: 1986-1999 | 1 | NOT APPLICABLE | NOT APPLICABLE | 1986-08-23 to 1999-11-15 |
N: -0.0033 S: -0.8049 E: -76.5017 W: -77.1272 |
multiple | |
| LBA-ECO LC-09 Land Cover Transitions Maps for Study Sites in Para, Brazil: 1970-2001 | 1 | LANDSAT-5 | MSS, ETM+ | 1985-01-01 to 2001-12-31 |
N: -1.36 S: -4.5592 E: -48.86 W: -55.61 |
GeoTIFF | |
| LBA-ECO LC-09 Landsat TM and ETM+ Data, Sites in Rondonia and Para, Brazil: 1985-2004 | 1 | LANDSAT-7, LANDSAT-5 | ETM+, TM | 1985-01-01 to 2004-12-31 |
N: -9.54 S: -9.54 E: -62.03 W: -62.03 |
multiple | |
| LBA-ECO LC-09 Natural, Infrastructure, and Boundary Features, Amazonian Sites, Brazil | 1 | MAPS | DIGITIZER | 1985-01-01 to 2004-12-31 |
N: -1.211 S: -10.2012 E: -47.5553 W: -62.4235 |
Shapefile | |
| LBA-ECO LC-35 Landsat ETM+ Derived Active Fire Masks, Brazilian Amazon: 2001-2003 | 1 | LANDSAT-7 | ETM+ | 2001-01-22 to 2003-05-23 |
N: 5 S: -18 E: -43 W: -68 |
multiple | |
| LBA-ECO ND-30 Fractional Cover of Mixed Land Use Ranches, Para and Rondonia, Brazil | 1 | LANDSAT-5, LANDSAT-7 | TM, ETM+ | 1996-07-05 to 2002-05-26 |
N: -1.9907 S: -11.0355 E: -45.6918 W: -63.1374 |
GeoTIFF | |
| LUH2-GCB2019: Land-Use Harmonization 2 Update for the Global Carbon Budget, 850-2019 | 1 | MODELS | Computer | 0850-01-01 to 2019-12-31 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| MISR L2 Land Surface Product subset for the C-MARE Region V002 | 002 | Terra | MISR | 2004-09-20 to 2004-10-23 |
N: 90 S: -90 E: 180 W: -180 |
HDF4 | |
| MISR Level 3 Component Global Land seasonal product in netCDF format V004 | 004 | Terra | MISR | 1999-12-18 to Present |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| Soil Moisture Active Passive (SMAP) L4 Carbon Ancillary Biome Parameter Look Up Table V001 | 1 | NOT APPLICABLE | NOT APPLICABLE | 2015-01-31 to Present |
N: 86.4 S: -86.4 E: 180 W: -180 |
CSV | |
| Vegetation and Open Water High-Resolution Maps for Selected US Tidal Marshes, 2015 | 1 | LANDSAT-7, LANDSAT-8, AERIAL PHOTOGRAPHS, LANDSAT-5 | ETM+, OLI, CAMERA, TMS | 2013-09-25 to 2015-08-27 |
N: 47.1174 S: 24.9166 E: -69.9267 W: -122.733 |
Shapefile |
Featured Land Management Observation Method: MODIS
The Moderate Resolution Imaging Spectroradiometer (MODIS) continually collects data in 36 spectral channels, surveying the entire planet every one to two days. MODIS data are used in studies across numerous disciplines, including vegetative health and changes in land cover and land use.
New Near Real-Time (NRT) Global Flood Mapping product from LANCE will continue production of data critical for detecting floods around the globe.
8 MIN READ
Scientists develop routine service for wildfire detection in the continental United States with a latency of less than 60 seconds.
6 MIN READ
Researchers taught the SatVision Top-of-Atmosphere foundation model to recognize MODIS imagery features.
4 MIN READ
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