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Soil Moisture Dataset for Remote Sensing and Land Surface Model Validation
Author(s) -
John Doe
Publication year - 2019
Publication title -
csa news
Language(s) - English
Resource type - Journals
eISSN - 2325-3584
pISSN - 1529-9163
DOI - 10.2134/csa2019.64.s066
Subject(s) - environmental science , remote sensing , water content , soil science , moisture , hydrology (agriculture) , geology , geography , geotechnical engineering , meteorology
Permafrost and seasonally frozen ground cover vast regions of our planet and influence infrastructure integrity, slope stability, greenhouse gas release, and hydrologic function. Monitoring changes in ground temperature and/or the amount of unfrozen water present and help manage potential risk to our planet. Electrical resistivity tomography (ERT) is a geophysical method used to image subsurface resistivity over a range of spatial and temporal scales. Resistivity is closely related to subzero temperature and unfrozen water content, but the exact nature of this relationship is not well understood.

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