A Two-Source Normalized Soil Thermal Inertia Model for Estimating Field-Scale Soil Moisture from MODIS and ASTER Data

Soil moisture (SM) is a crucial component for understanding, modeling, and forecasting terrestrial water cycles and energy budgets. However, estimating field-scale SM based on thermal infrared remote-sensing data is still a challenging task. In this study, an improved Flexible Spatiotemporal DAta Fu...

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Bibliographic Details
Published in:Remote Sensing
Main Authors: Guibin Hao, Hongbo Su, Renhua Zhang, Jing Tian, Shaohui Chen
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/5/1215