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Proceedings Paper

Study on the monitoring model of soil moisture for Aeolian desertification using MODIS image data
Author(s): Aidi Huo; Zhiguo Sun; Huike Li; Xiaojing Hou; Guangjun Zhang
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Paper 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 6th and 7th 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 7th 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.

Paper Details

Date Published: 4 November 2010
PDF: 7 pages
Proc. SPIE 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality, 78400D (4 November 2010); doi: 10.1117/12.872310
Show Author Affiliations
Aidi Huo, Chang'an Univ. (China)
Northwest Agriculture & Forestry Univ. (China)
Zhiguo Sun, College of Henan Medical for Staff and Workers (China)
Huike Li, Northwest Agriculture & Forestry Univ. (China)
Xiaojing Hou, Baoji Univ. of Arts and Sciences (China)
Guangjun Zhang, Northwest Agriculture & Forestry Univ. (China)


Published in SPIE Proceedings Vol. 7840:
Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality
Huadong Guo; Changlin Wang, Editor(s)

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