Study on the monitoring model of soil moisture for Aeolian desertification using MODIS image data

Aidi Huo; Zhiguo Sun; Huike Li; Xiaojing Hou; Guangjun Zhang

doi:10.1117/12.872310

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3 November 2010 Study on the monitoring model of soil moisture for Aeolian desertification using MODIS image data

Aidi Huo, Zhiguo Sun, Huike Li, Xiaojing Hou, Guangjun Zhang

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Proceedings Volume 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality; 78400D (2010) https://doi.org/10.1117/12.872310
Event: The Sixth International Symposium on Digital Earth, 2009, Beijing, China

Abstract

Soil moisture is the most important parameter in hydrology and meteorology, as well as in the fields of many agricultural sciences. According to the water absorption rate curve, this paper proposes that the reflectivity of the band 6^th and 7^th of MODIS image data can be used to monitor soil moisture content and made comparisons with the Temperature Vegetation Drought Index (TVDI). Through field investigation of desertified area of Xinjiang, China, we confirm that there is a good negative correlation between the reflectivity of the band 7^th of MODIS image data and the surface humidity. The result shows that the reflectivity of the Band 7 is an effective way to monitor the soil moisture of desertified areas in a large scale.

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Aidi Huo, Zhiguo Sun, Huike Li, Xiaojing Hou, and Guangjun Zhang "Study on the monitoring model of soil moisture for Aeolian desertification using MODIS image data", Proc. SPIE 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality, 78400D (3 November 2010); https://doi.org/10.1117/12.872310

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