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Land Surface Data Access and Tools

NASA data provide key measurements of Earth’s land, allowing researchers to accurately understand its composition, processes, uses, and interactions. Our datasets and tools help researchers translate these interconnected data points into actionable knowledge.

Land Surface Datasets

Filters
Dataset Sort descending Version Platform Instrument Temporal Extent Spatial Extent Spatial Resolution Data Format
SMAPVEX16 Manitoba Surface Roughness Data V001 1 GROUND-BASED OBSERVATIONS CAMERAS 2016-06-10 to 2016-06-15

N: 49.76117 S: 49.38533 E: -97.75626 W: -98.09842

CSV, KMZ
SMAPVEX19-22 Massachusetts Lidar Derived Digital Elevation Model V001 1 CESSNA T206H Leica CityMapper-2 2022-04-02 to 2022-08-09

N: 42.72 S: 42.32 E: -71.91 W: -72.33

GeoTIFF
SMAPVEX19-22 Massachusetts Lidar Derived Digital Surface Model V001 1 CESSNA T206H Leica CityMapper-2 2022-08-03 to 2022-08-05

N: 42.72 S: 42.32 E: -71.91 W: -72.33

GeoTIFF
SMAPVEX19-22 Massachusetts Temporary Soil Moisture Network V001 1 GROUND-BASED OBSERVATIONS SOIL MOISTURE PROBE, SOIL TEMPERATURE PROBE, THERMOMETERS 2019-05-01 to 2021-10-31

N: 42.69 S: 42.34 E: -71.95 W: -72.29

CSV
SMAPVEX19-22 Massachusetts Vegetation Optical Depth V001 1 GROUND-BASED OBSERVATIONS DIELECTRIC PROBE, HUMIDITY SENSORS, PRESSURE SENSORS, RADIOMETERS, SOIL MOISTURE PROBE, SOIL TEMPERATURE PROBE, THERMOMETERS 2019-04-28 to 2019-10-17

N: 42.54 S: 42.54 E: -72.17 W: -72.17

CSV
SMAPVEX19-22 Millbrook Lidar Derived Digital Elevation Model V001 1 CESSNA T206H Leica CityMapper-2 2022-04-02 to 2022-08-09

N: 42.05 S: 41.66 E: -73.42 W: -73.81

GeoTIFF
SMAPVEX19-22 Millbrook Lidar Derived Digital Surface Model V001 1 CESSNA T206H Leica CityMapper-2 2022-08-02 to 2022-08-09

N: 42.05 S: 41.66 E: -73.42 W: -73.81

GeoTIFF
SMAPVEX19-22 Millbrook Temporary Soil Moisture Network V001 1 GROUND-BASED OBSERVATIONS SOIL MOISTURE PROBE, SOIL TEMPERATURE PROBE, THERMOMETERS 2019-05-01 to 2021-10-31

N: 42.03 S: 41.68 E: -73.44 W: -73.79

ASCII
Smerge-Noah-CCI root zone soil moisture 0-40 cm L4 daily 0.125 x 0.125 degree V2.0 (SMERGE_RZSM0_40CM) at GES DISC 2.0 SMERGE NOT APPLICABLE 1979-01-02 to 2019-05-10

N: 53 S: 25 E: -67 W: -125

0.125 Decimal Degrees x 0.125 Decimal Degrees
SMOS-Based SMAP L2 Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture V001 1 SMAP, SMOS SMAP L-BAND RADIOMETER, SMOS L-BAND RADIOMETER 2015-05-01 to 2022-01-01

N: 90 S: -90 E: 180 W: -180

9 Kilometers x 9 Kilometers HDF5
SNF Forest Cover by Species/Strata 1 FIELD INVESTIGATION VISUAL OBSERVATIONS 1976-01-01 to 1986-12-31

N: 48.1697 S: 47.6575 E: -91.7658 W: -92.5058

ASCII
SNF Site Characterization Data: C.Jarvis 1 FIELD INVESTIGATION VISUAL OBSERVATIONS 1984-05-10 to 1984-06-12

N: 48.1697 S: 47.6575 E: -91.7658 W: -92.5058

ASCII
SnowEx Colorado 3M Snow Depth Time Series and DEMs from High-Resolution Satellite Image Pairs V001 1 AIRCRAFT, Pleiades-1A, Pleiades-1B, WORLDVIEW-2, WORLDVIEW-3 LIDAR, CAMERA 2022-03-16 to 2022-05-11

N: 39.21616 S: 38.78595 E: -107.74734 W: -108.38227

,

N: 37.35014 S: 36.94601 E: -106.33657 W: -106.86955

1 Meters x 1 Meters
3 Meters x 3 Meters
GeoTIFF
SnowEx Meteorological Station Measurements from Grand Mesa, CO Raw V001 1 GROUND-BASED OBSERVATIONS CNR4, Campbell Scientific CS106, HC2S3, HydraProbe, RM Young 05103 Wind Monitor, SR50A 2016-10-09 to 2022-08-30

N: 39.03388 S: 39.03388 E: -108.21399 W: -108.21399

,

N: 39.03954 S: 39.03954 E: -107.94174 W: -107.94174

,

N: 39.10358 S: 39.10358 E: -107.88383 W: -107.88383

,

N: 39.05084 S: 39.05084 E: -108.06144 W: -108.06144

,

N: 39.05225 S: 39.05225 E: -108.09792 W: -108.09792

CSV
SnowEx Meteorological Station Measurements from Grand Mesa, CO V001 1 GROUND-BASED OBSERVATIONS CNR4, Campbell Scientific CS106, HC2S3, HydraProbe, RM Young 05103 Wind Monitor, SR50A 2016-10-09 to 2022-08-30

N: 39.03388 S: 39.03388 E: -108.21399 W: -108.21399

,

N: 39.03954 S: 39.03954 E: -107.94174 W: -107.94174

,

N: 39.10358 S: 39.10358 E: -107.88383 W: -107.88383

,

N: 39.05084 S: 39.05084 E: -108.06144 W: -108.06144

,

N: 39.05225 S: 39.05225 E: -108.09792 W: -108.09792

CSV, PNG
SnowEx Mores Creek Summit (MCS) Airborne LiDAR Survey V001 1 HELICOPTER LIDAR 2021-03-10 to 2025-05-01

N: 43.9748 S: 43.91365 E: -115.64244 W: -115.7305

GeoTIFF
SnowEx17 Laser Snow Microstructure Specific Surface Area Data V001 1 GROUND-BASED OBSERVATIONS IRIS, IceCube 2017-02-07 to 2017-02-25

N: 39.10595 S: 39.00035 E: -107.86944 W: -108.21907

PNG, CSV
SnowEx17 P-3 Airborne Video V001 1 NASA P-3 VIDEO CAMERA 2017-02-15 to 2017-02-25

N: 41.00066 S: 36.99311 E: -102.04213 W: -109.05007

AVI
SnowEx20 COSMOS Rover Soil Moisture V001 1 GROUND-BASED OBSERVATIONS COSMOS-Rover 2019-11-04 to 2019-11-07

N: 39.04 S: 39 E: -108.09 W: -108.23

CSV
SnowEx20 COSMOS Stationary Soil Moisture V001 1 GROUND-BASED OBSERVATIONS COSMOS-SSP 2019-08-26 to 2020-05-31

N: 39.033 S: 39.033 E: -108.215 W: -108.215

ASCII, CSV
SnowEx20 Grand Mesa Autumn 2019 Gravimetric Soil Moisture V001 1 GROUND-BASED OBSERVATIONS SOIL SAMPLER 2019-11-04 to 2019-11-06

N: 39.03262 S: 39.00572 E: -108.15354 W: -108.21625

CSV
SnowEx20 Grand Mesa In Situ Dielectric Soil Moisture V001 1 GROUND-BASED OBSERVATIONS SOIL MOISTURE PROBE, SOIL TEMPERATURE PROBE 2019-09-24 to 2020-06-03

N: 39.037 S: 39.004 E: -108.15 W: -108.22

CSV
SnowEx20 Grand Mesa IOP QSI Lidar Snow Depth Data V001 1 AIRCRAFT LIDAR 2020-02-01 to 2020-02-02

N: 39.03946 S: 39.00921 E: -108.15775 W: -108.21092

1 Meters x 1 Meters GeoTIFF
SnowEx20-21 QSI Lidar DEM 0.5m UTM Grid V001 1 King Air LIDAR 2021-09-16 to 2021-09-21

N: 44.3658 S: 43.0343 E: -114.8547 W: -117.0661

,

N: 40.6041 S: 40.5161 E: -111.5989 W: -111.7319

,

N: 40.5841 S: 38.9681 E: -105.7432 W: -108.3384

0.5 Meters x 0.5 Meters TIFF
SnowEx20-21 QSI Lidar DEM 3m UTM Grid V001 1 King Air LIDAR 2021-09-16 to 2021-09-21

N: 44.3658 S: 43.0343 E: -114.8547 W: -117.0661

,

N: 40.6041 S: 40.5161 E: -111.5989 W: -111.7319

,

N: 40.5841 S: 38.9681 E: -105.7432 W: -108.3384

3 Meters x 3 Meters TIFF

Land Surface Data Tools

Tool Sort descending Description Services
ASF MapReady Terrain-correct, geocode, and apply polarimetric decompositions to multi-pol SAR data Processing
FLOOD The FLOOD viewer facilitates the use and evaluation of LANCE flood products by allowing the user to browse globally and over time, and to compare to other flood products. Monitoring Natural Events, Search and Discovery, Visualization
Giovanni Giovanni is a web application for accessing, visualizing, and analyzing Earth science remote sensing data without downloading the data. Search and Discovery, Analysis, Access, Visualization, Downloading, Subsetting
OB.DAAC File Search Utility Find and download instrument data archived at OB.DAAC using mission parameters or filename patterns, including support for wildcard searching on partial filenames. Analysis, Search and Discovery, Visualization
Ocean Color Level 3 and 4 Browser The Ocean Color Level 3 and 4 Browser allows users to view, download, or order global composites at various spatial and temporal scales (level 3) or get results from analyses of lower-level data (level 4). Analysis, Search and Discovery, Visualization
RTC Stack Processor The radiometric terrain correction (RTC) stack processor tool facilitates time-series analysis of such phenomena as flooding events, deforestation, or glacier retreat. Analysis, Processing, Search and Discovery, Visualization
SeaDAS Sea, earth, atmosphere Data Analysis System (SeaDAS) is a comprehensive image analysis package for the processing, display, analysis, and quality control of ocean color data. Analysis, Visualization, Processing
VEDA NASA's Visualization, Exploration, and Data Analysis (VEDA) project is an open-source science cyberinfrastructure for data processing, visualization, exploration, and geographic information systems (GIS) capabilities. Access, Analysis, Processing, Visualization, Geoprocessing
Vertex Vertex is a graphical search interface for finding synthetic aperture radar (SAR) data. Search and Discovery, Access, Downloading, Processing, Subsetting
Worldview Worldview offers the capability to interactively browse over 1,200 global, full-resolution satellite imagery layers and download the underlying data. Analysis, Search and Discovery, Visualization, Access, Comparison, Monitoring Natural Events
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