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Soils Data Access and Tools
Soils Datasets
| Dataset Sort descending | Version | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| SMAP-Derived 1-km Downscaled Surface Soil Moisture Product V001 | 1 | SMAP | SMAP L-BAND RADIOMETER | 2015-04-01 to 2024-06-29 |
N: 86 S: -86 E: 180 W: -180 |
1 Kilometers x 1 Kilometers | GeoTIFF |
| SMAP/In Situ Core Validation Site Land Surface Parameters Match-Up Data V001 | 1 | GROUND STATIONS, SMAP | SOIL MOISTURE PROBE, SOIL TEMPERATURE PROBE, SMAP L-BAND RADAR, SMAP L-BAND RADIOMETER | 2015-04-01 to 2021-03-31 |
N: 85.044 S: -85.044 E: 180 W: -180 |
ASCII | |
| SMAP_L1A_RADAR_METADATA_V001 | 1 | SMAP | SAR | 2015-02-12 to 2015-07-07 |
N: 90 S: -90 E: 180 W: -180 |
||
| SMAP_L1A_RADAR_QA_V001 | 1 | SMAP | SAR | 2015-02-12 to 2015-07-07 |
N: 90 S: -90 E: 180 W: -180 |
||
| SMAP_L1B_SIGMA_NAUGHT_LOW_RES_METADATA_V001 | 1 | SMAP | SAR | 2015-02-12 to 2015-07-07 |
N: 90 S: -90 E: 180 W: -180 |
||
| SMAP_L1B_SIGMA_NAUGHT_LOW_RES_QA_V001 | 1 | SMAP | SAR | 2015-02-12 to 2015-07-07 |
N: 90 S: -90 E: 180 W: -180 |
||
| SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_METADATA_V001 | 1 | SMAP | SAR | 2015-02-12 to 2015-07-07 |
N: 90 S: -90 E: 180 W: -180 |
||
| SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_QA_V001 | 1 | SMAP | SAR | 2015-02-12 to 2015-07-07 |
N: 90 S: -90 E: 180 W: -180 |
||
| SMAP/Sentinel-1 L2 Radiometer/Radar 30-Second Scene 3 km EASE-Grid Soil Moisture V003 | 003 | SMAP, Sentinel-1A, Sentinel-1B | SMAP L-BAND RADIOMETER, C-SAR | 2015-03-31 to Present |
N: 60 S: -60 E: 180 W: -180 |
3 Kilometers x 3 Kilometers | HDF5 |
| SMAP/SMOS L3 Radiometer 9 km EASE-Grid Soil Moisture V001 | 1 | SMAP, SMOS | SMAP L-BAND RADIOMETER, SMOS L-BAND RADIOMETER | 2015-05-01 to 2021-12-31 |
N: 90 S: -90 E: 180 W: -180 |
9 Kilometers x 9 Kilometers | HDF5 |
| SMAPVEX08 In Situ Soil Moisture Data V001 | 1 | FIELD SURVEYS | SOIL MOISTURE PROBE, TEMPERATURE PROBES | 2008-09-29 to 2008-10-13 |
N: 39.09 S: 38.93 E: -75.55 W: -76.25 |
0.8 Kilometers x 0.8 Kilometers | ASCII, Excel |
| SMAPVEX08 Soil Texture Data V001 | 1 | Models/Analyses | CONUS-Soil | 2008-10-01 to 2008-10-31 |
N: 39.09 S: 38.93 E: -75.55 W: -76.25 |
Binary | |
| SMAPVEX12 Core-Based In Situ Soil Moisture Data for Agricultural Area V001 | 1 | GROUND-BASED OBSERVATIONS | CORING DEVICES, SOIL MOISTURE PROBE | 2012-06-07 to 2012-07-19 |
N: 49.96 S: 49.44 E: -97.85 W: -98.51 |
3.2 Kilometers x 3.2 Kilometers | ASCII, CSV |
| SMAPVEX12 Core-Based Soil Texture Data V001 | 1 | GROUND-BASED OBSERVATIONS | CORING DEVICES | 2012-06-07 to 2012-07-19 |
N: 49.96 S: 49.44 E: -97.85 W: -98.51 |
3.2 Kilometers x 3.2 Kilometers | ASCII, CSV |
| SMAPVEX12 PALS Soil Moisture Data V001 | 1 | AIRCRAFT | PALS | 2012-06-12 to 2012-07-19 |
N: 49.96 S: 49.44 E: -97.85 W: -98.51 |
1500 Meters x 1500 Meters | CSV |
| SMAPVEX12 Probe-Based In Situ Soil Moisture Data for Agricultural Area V001 | 1 | FIELD SURVEYS, GROUND-BASED OBSERVATIONS | PROBES, SOIL MOISTURE PROBE | 2012-06-07 to 2012-07-19 |
N: 49.96 S: 49.44 E: -97.85 W: -98.51 |
0.8 Kilometers x 0.8 Kilometers | ASCII, CSV |
| SMAPVEX12 Probe-Based In Situ Soil Moisture Data for Forest Area V001 | 1 | FIELD SURVEYS | SOIL MOISTURE PROBE, SOIL TEMPERATURE PROBE | 2012-06-07 to 2012-07-13 |
N: 49.96 S: 49.44 E: -97.85 W: -98.51 |
100 Meters x 100 Meters | Excel |
| SMAPVEX12 Soil Texture Map V001 | 1 | FIELD SURVEYS | SOIL SAMPLER | 2012-06-07 to 2012-07-19 |
N: 49.96 S: 49.44 E: -97.85 W: -98.51 |
316 Meters x 316 Meters | Shapefile |
| SMAPVEX15 PALS Soil Moisture Data V001 | 1 | AIRCRAFT | PALS | 2015-08-02 to 2015-08-18 |
N: 31.87 S: 31.51 E: -109.84 W: -110.96 |
1500 Meters x 1500 Meters | CSV |
| SMAPVEX15 Probe-Based In Situ Soil Moisture Data V001 | 1 | FIELD SURVEYS, GROUND-BASED OBSERVATIONS | SOIL SAMPLER, SOIL TEMPERATURE PROBE, SOIL MOISTURE PROBE | 2015-08-02 to 2015-08-18 |
N: 31.92451386 S: 31.34351987 E: -110.0483274 W: -110.2639881 |
1 Meters x 1 Meters | Excel |
| SMAPVEX16 Iowa Temporary Network Soil Moisture and Temperature V001 | 1 | GROUND-BASED OBSERVATIONS | SOIL MOISTURE PROBE, SOIL TEMPERATURE PROBE | 2016-05-18 to 2016-08-17 |
N: 42.64 S: 42.29 E: -93.22 W: -93.57 |
CSV | |
| SMAPVEX16 Manitoba Core-Based In Situ Soil Moisture Data V001 | 1 | FIELD SURVEYS, GROUND-BASED OBSERVATIONS | SOIL SAMPLER, CORING DEVICES | 2016-05-24 to 2016-07-22 |
N: 49.761171 S: 49.384076 E: -97.756264 W: -98.098417 |
CSV, KMZ | |
| SMAPVEX16 Manitoba Meteorological Data V001 | 1 | GROUND-BASED OBSERVATIONS | HUMIDITY SENSORS, RAIN GAUGES, TEMPERATURE PROBES | 2016-05-02 to 2016-09-30 |
N: 49.680332 S: 49.499683 E: -97.98999 W: -98.033404 |
CSV, KMZ | |
| SMAPVEX16 Manitoba PALS Brightness Temperature and Soil Moisture Data V001 | 1 | AIRCRAFT | PALS | 2016-06-08 to 2016-07-22 |
N: 49.79 S: 49.36 E: -97.75 W: -98.12 |
500 Meters x 500 Meters | CSV |
| SMAPVEX16 Manitoba Probe-Based In Situ Soil Moisture Data V001 | 1 | FIELD SURVEYS, GROUND-BASED OBSERVATIONS | INFRARED RADIOMETERS, DIELECTRIC PROBE, SOIL TEMPERATURE PROBE | 2016-06-08 to 2016-07-22 |
N: 49.761171 S: 49.384076 E: -97.756264 W: -98.098417 |
CSV, KMZ |
Featured Soils Observation Method: MODIS
The Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Aqua and Terra platforms continually collects global data approximately every two days. One MODIS product, normalized vegetation difference index data, can be used to predict how much carbon dioxide is emitted from soils, which is major component of the global carbon cycle. Carbon is released in the process called soil respiration and driven by the decomposition of surface litter through microbial activity.
Researchers taught the SatVision Top-of-Atmosphere foundation model to recognize MODIS imagery features.
4 MIN READ
The Visible Infrared Imaging Radiometer Suite (VIIRS) will help ensure continuity of Earth observations after the upcoming retirement of the Moderate Resolution Imaging Spectroradiometer (MODIS).
Learn how to access and use Moderate Resolution Imaging Spectroradiometer (MODIS) Version 6 land data.
Remote sensing data's drought-indicating parameters are essential to manage the impact of water scarcities and minimize drought losses.
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