N: 89.24 S: -89.24 E: 180 W: -180
Description
This Level-2B AMSR Unified product contains surface soil moisture at 25 km resolution, estimated from AMSR-E and AMSR2 brightness temperature observations using two different approaches: the Normalized Polarization Difference (NPD) algorithm and the Single Channel Algorithm (SCA). Data are provided in the NSIDC EASE-Grid Global projection.
Soil moisture estimates are derived from AMSR-E and AMSR2 data which have been spatially resampled by the Japan Aerospace Exploration Agency (JAXA) to intercalibrate, or “unify,” the two sensors.
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Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Satellite Microwave Radiometry for the Observation of Land Surfaces: A General Review | Vittucci, Cristina, Picchiani, Matteo | Brightness Temperature, Soil Moisture/Water Content, Vegetation Water Content | |
| Mapping global floods with 10 years of satellite radar data | Misra, Amit, White, Kevin, Nsutezo, Simone Fobi, Straka, William, Lavista, Juan | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Brightness Temperature | |
| Soil Moisture Monitoring Method and Data Products: Current Research | Liu, Ruihao, Chang, Cun, Zhong, Ruisen, Lu, Shiyang | Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Brightness Temperature, Vegetation Water Content | |
| Global L-band equivalent AI-based vegetation optical depth dataset | Skulovich, Olya, Li, Xiaojun, Wigneron, Jean-Pierre, Gentine, Pierre | Brightness Temperature, Soil Moisture/Water Content, Vegetation Water Content, Brightness Temperature, Microwave Imagery | |
| A Long-term Consistent Artificial Intelligence and Remote Sensing-based Soil Moisture Dataset | Skulovich, Olya, Gentine, Pierre | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Brightness Temperature, Soil Moisture/Water Content, Vegetation Water Content, Brightness Temperature, Microwave Imagery | |
| The Carbon Cycle Influence on Tornadoes | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Brightness Temperature, Photosynthesis, Primary Production, Vegetation Productivity, Land Use/Land Cover Classification, Brightness Temperature, Microwave Imagery, Air Temperature, Carbon Monoxide, Cloud Fraction, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Emissivity, Geopotential Height, Methane, Outgoing Longwave Radiation, Atmospheric Ozone, Total Precipitable Water, Sea Surface Temperature, Surface Pressure, Surface Temperature, Sulfur Dioxide, Tropopause, Tropospheric Ozone, Upper Air Temperature, Water Vapor Profiles, Cloud Liquid Water/Ice | ||
| Using Sentinel-1 data for monitoring of soil moisture | Garkusha, Igor N., Hnatushenko, Volodymyr V., Vasyliev, Volodymyr V. | Brightness Temperature, Soil Moisture/Water Content, Vegetation Water Content, Brightness Temperature |