N: 49.79 S: 49.36 E: -97.75 W: -98.12
Description
This product contains data derived from permanent in situ soil stations and observations by the Passive Active L-band System (PALS) microwave aircraft instrument. The PALS instrument was mounted to a DC-3 aircraft, which flew six parallel flight lines at an altitude of 3000 m in order to map a 26 km x 48 km domain in Manitoba, Canada. Nine permanent soil stations were distributed throughout this same area.
The soil characteristics included in this data set are volumetric soil moisture, vertically and horizontally polarized brightness temperature, effective soil temperature, effective vegetation temperature, vegetation water content, land cover classification, sand and clay fraction, and volumetric soil moisture uncertainty estimates.
Product Summary
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
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Documents
USER'S GUIDE
GENERAL DOCUMENTATION
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Enhanced L-MEB Model for Soil Moisture Retrieval over Soybean Fields During the Growing Season | Cui, Kai, Xing, Minfeng, Shang, Jiali, Zhou, Xin, Wang, Jinfei | Land Surface Temperature, Soil Moisture/Water Content, Soil Temperature, Brightness Temperature, Land Use/Land Cover Classification, Soil Moisture/Water Content, Soil Temperature, Soil Texture, Vegetation Water Content, Surface Roughness | |
| Low-Rank Gap Filling and Downscaling for SMAP Soil Moisture Datasets | Beale, Kevin, Bras, Rafael L., Romberg, Justin | Brightness Temperature, Land Use/Land Cover Classification, Soil Classification, Soil Moisture/Water Content, Soil Temperature, Vegetation Water Content, SIGMA NAUGHT, Surface Soil Moisture, Soil Bulk Density, Soil Moisture/Water Content, Soil Temperature, Soil Texture, Soil Texture, Land Surface Temperature, Precipitation Indices, Soil Moisture, Soil Temperature, Precipitation Amount | |
| Remote Sensing Crop Water Stress Determination Using CNN-ViT Architecture | Lehouel, Kawtar, Saber, Chaima, Bouziani, Mourad, Yaagoubi, Reda | Brightness Temperature, Land Use/Land Cover Classification, Soil Moisture/Water Content, Soil Temperature, Soil Texture, Vegetation Water Content |