2 November 2017 Elevation effect on TVDI-based soil moisture retrieval algorithm using MODIS LST and NDVI products
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Abstract
Generally, soil moisture plays an important role in water cycle, water resources and other diverse applications over land. Passive microwave remote sensors (e.g., ASCAT, AMSR-E, SMOS, and SMAP) have successfully used for estimating the amount of soil moisture irrespective of their low temporal and special resolutions. In this study, we present a TVDI (temperature-vegetation dryness index)-based soil moisture retrieval algorithm based on visible and infrared remote sensors. The TERRA/MODIS products such LST (MOD11A2) and NDVI (MOD13A2) data were used. Far-East Asia area including the Korean peninsula were investigated for the case study. In particular, we found the elevation dependence on the soil moisture retrieval. We developed a correction method for this elevation effect. The proposed TVDI-based soil moisture algorithm in visible and infrared bands were compared and validated with soil moisture contents estimated from GCOM-W1/AMSR-2 observations in microwave bands.
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Young-Joo Kwon, Young-Joo Kwon, Hyunju Ban, Hyunju Ban, Sungwook Hong, Sungwook Hong, } "Elevation effect on TVDI-based soil moisture retrieval algorithm using MODIS LST and NDVI products", Proc. SPIE 10421, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX, 104210U (2 November 2017); doi: 10.1117/12.2278020; https://doi.org/10.1117/12.2278020
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