Abstract
Soil moisture (SM) is a crucial variable in many domains including climate, agriculture and hydrology. In the past decades, satellite-derived land surface temperature (LST) and fractional vegetation cover (FVC) has been widely used to estimate SM at various spatial scales. In the present study, the Chinese Feng Yun (FY) satellites (FY-4A and FY-3D) were first used to estimate SM over the mainland China, following a pixel-to-pixel scheme of the LST-FVC trapezoid method. The soil moisture active passive (SMAP) product was conducted to assess the estimated SM over the study area. Results indicated that a root mean square error of approximately 0.108 m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−3</sup> can be found between the FY-derived SM and SMAP product.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
