ESA soil moisture downscaling using NOAA images
Subject Areas :Ali akbar Matkan 1 , Davood Ashourloo 2 , Hossein Aghighi 3 , Gholamreza Golsefatan 4
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Keywords: soil moisture downscaling NDVI LST albedo,
Abstract :
Soil moisture is a vital parameter in various land surface processes, and microwave remote sensing is widely used to estimate soil moisture. Hence Soil moisture retrieved from satellite microwave remote sensing normally has spatial resolution on the order of tens of kilometers, which are too coarse for many hydrological applications such as agriculture monitoring and drought prediction. Various downscaling methods have been proposed to enhance the spatial resolution of satellite soil moisture products. The aim of this study is to propose a statistical assimilative method to downscale European Space Agency's Water Cycle Multi-mission Observation Strategy and Climate Change Initiative (ESA CCI) Microwave (MW) remote sensing soil moisture products. For this purpose, firstly we used the NOAA images and NDVI, LST and albedo indices in regression process to International Soil Moisture Network (ISMN) in-situ SM. Then we downscaled the ESA products by making proportion between results and ESA products. Because of some limitations, we operated on three study area. Validation results showed this method can significantly improve the soil moisture ESA products
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