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Permafrost Data Access and Tools
From discovery to visualization, data tools such as Earthdata Search, Worldview, and Soil Moisture Visualizer guide users in making the most of permafrost data.
Permafrost Datasets
| Dataset | Platforms | Instruments | Temporal Extent | Location Keywords | Spatial Extent | Data Format |
|---|---|---|---|---|---|---|
| ERS-1 Level 0 Product | ERS-1 | SAR | 1991-08-08 to 1997-09-29 | N: 90 S: -90 E: 180 W: -180 | ||
| ERS-1 Level 1 Product | ERS-1 | SAR | 1991-08-08 to 1997-09-29 | N: 90 S: -90 E: 180 W: -180 | ||
| ERS-2 Level 0 Product | ERS-2 | SAR | 1995-10-01 to 2011-07-04 | N: 90 S: -90 E: 180 W: -180 | ||
| ERS-2 Level 1 Product | ERS-2 | SAR | 1995-10-01 to 2011-07-04 | N: 90 S: -90 E: 180 W: -180 | ||
| GeoCryoAI: Ensemble Learning and the Permafrost Carbon Feedback in Alaska, 1963-2022 | COMPUTERS | Computer | 1960-01-01 to 2022-12-31 | ALASKA | N: 72 S: 54 E: -134.776 W: -170 | TAR |
| High Mountain Asia 1 km MODIS-AIRS Gap-Filled Ground Temperatures and Permafrost Probability Maps, 2003-2016 V001 | Aqua, Terra | AIRS, MODIS | 2003-01-01 to 2016-12-31 | AFGHANISTAN, TAJIKISTAN, KYRGYZSTAN, PAKISTAN | N: 45 S: 22.7 E: 106.7 W: 63 | netCDF-4 |
| Lund-Potsdam-Jena Wetland Hydrology and Methane DGV Model (LPJ-WHyMe v1.3.1) | NOT APPLICABLE | NOT APPLICABLE | 1972-01-01 to 2010-10-15 | N: 90 S: -60 E: 180 W: -180 | multiple | |
| Potential Areas of Gas Seepage Detected by SAR in Lakes near Fairbanks, Alaska | COMPUTERS, ALOS | Computer, PALSAR | 2006-12-04 to 2011-03-17 | ALASKA | N: 65.1787 S: 64.3313 E: -146.87 W: -148.287 | multiple |
| Pre-ABoVE: Ground-penetrating Radar Measurements of ALT on the Alaska North Slope | FIELD INVESTIGATION | GPR, GPS, SOIL DEPTH PROBE | 2014-08-10 to 2014-08-15 | N: 69.15 S: 68.4 E: -148.7 W: -149.5 | CSV | |
| Projections of Permafrost Thaw and Carbon Release for RCP 4.5 and 8.5, 1901-2299 | MODELS | Computer | 1901-01-01 to 2300-12-31 | NORTHERN HEMISPHERE | N: 90 S: -90 E: 180 W: -180 | netCDF-4 |
SHOWING 10 OF 50
Featured Permafrost Observation Method: SMAP
The Soil Moisture Active-Passive (SMAP) platform measures surface soil moisture and freeze-thaw state. These direct measurements can be analyzed to learn more about permafrost distributions.
NASA's SMAP team turns raw satellite data into more than a dozen data products for data users around the world.
9 MIN READ
Remote sensing data's drought-indicating parameters are essential to manage the impact of water scarcities and minimize drought losses.
This webinar will compare sea surface salinity data collected by the Aquarius and SMAP missions. We will showcase data visualization and data access tools available through NASA's Physical Oceanography Distributed Active Archive Center.
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