| Biology and Soil |
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| Regional Soil Moisture Inversion Based on Surface Temperature and Vegetation Index Characteristic Spaces |
| WU Man-chun1,2, DING Jian-li1, WANG Gao-feng3 |
1.College of Resource and Environmental Science; Ministry of Education Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China;
2.Institute of Land Resources Survey Planning and Design, Changji, 831100, Xinjiang, China;
3.Office of Grasshopper and Mouse Control Headquarter, Changji 831100, Xinjiang, China |
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Abstract Monitoring of soil moisture is very important in drought agricultural region in northwest China. We choose a delta oasis between the Weigan River and the Kuqa River in north rim of the Tarim Basin as study area, and two TM images with relatively less cloud shadow contamination are used to establish the surface temperature-vegetation index(Ts/VI) characteristic spaces. The lower and upper boundaries of the Ts/VI characteristic spaces are approximately fitted with linear regression functions, so that the dry and wet edges of the space can be determined. Two Ts/VI spaces were established based on the Ts/NDVI and Ts/MSAVI, and their differences of shapes were investigated. Two kinds of the Temperature-Vegetation Dryness Index(TVDI) were calculated from the Ts/NDVI and the Ts/MSAVI spaces: TVDIN and MTVDI. Regression analysis was made between TVDI and contemporaneous field measured soil moisture data, so that with the regression model, soil moisture could be assessed based on TVDI. Results showed that TVDIN and MTVDI could all be used to predict the near surface soil moisture, except that the MTVDI had a better correlation with soil moisture compared to the TVDIN, and MTVDI can effectively reflect the near surface soil moisture. Therefore, MTVDI is a useful method to monitor and assess soil moisture, and it can be used as a guide for monitoring agriculture drought.
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Received: 13 May 2011
Published: 20 January 2012
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2012, Vol. 32 
