Validation of Remotely Sensed and Modeled Soil Moisture at Forested and Unforested NEON Sites

Authors: Ayres, E., Reichle, R.H., Colliander, A., Cosh, M.H., Smith, L.

Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of. 17:14248-14264 2024

Validation of a New Root-Zone Soil Moisture Product: Soil MERGE

Authors: Tobin, K.J., Crow, W.T., Dong, J., Bennett, M.E.

Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of. 12(9):3351-3365 Sep, 2019

Machine learning based estimation of field-scale daily, high resolution, multi-depth soil moisture for the Western and Midwestern United States

Authors: Yushu Xia, Jennifer D. Watts, Megan B. Machmuller, Jonathan Sanderman

Source: PeerJ, Vol 10, p e14275 (2022)

Subject Terms: Soil moisture downscaling, Field scale, Soil climate analysis network (SCAN), U.S. Climate Reference Network (USCRN), North American Land Data Assimilation System (NLDAS), Digital soil mapping, Medicine, Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://peerj.com/articles/14275.pdf; https://peerj.com/articles/14275/; https://doaj.org/toc/2167-8359

Access URL: https://doaj.org/article/1046698682ac4e809daf33fbe9c0accc