Soil moisture status estimation over Three Gorges area with Landsat TM data based on temperature vegetation dryness index

Lina Xu; Ruiqing Niu; Jiong Li; Yanfang Dong

doi:10.1117/12.902433

23 November 2011 Soil moisture status estimation over Three Gorges area with Landsat TM data based on temperature vegetation dryness index

Lina Xu, Ruiqing Niu, Jiong Li, Yanfang Dong

Author Affiliations +

Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80061F (2011) https://doi.org/10.1117/12.902433
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

Soil moisture is the important indicator of climate, hydrology, ecology, agriculture and other parameters of the land surface and atmospheric interface. Soil moisture plays an important role on the water and energy exchange at the land surface/atmosphere interface. Remote sensing can provide information on large area quickly and easily, so it is significant to do research on how to monitor soil moisture by remote sensing. This paper presents a method to assess soil moisture status using Landsat TM data over Three Gorges area in China based on TVDI. The potential of Temperature- Vegetation Dryness Index (TVDI) from Landsat TM data in assessing soil moisture was investigated in this region. After retrieving land surface temperature and vegetation index a TVDI model based on the features of Ts-NDVI space is established. And finally, soil moisture status is estimated according to TVDI. It shows that TVDI has the advantages of stability and high accuracy to estimating the soil moisture status.

Citation Download Citation

Lina Xu, Ruiqing Niu, Jiong Li, and Yanfang Dong "Soil moisture status estimation over Three Gorges area with Landsat TM data based on temperature vegetation dryness index", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80061F (23 November 2011); https://doi.org/10.1117/12.902433

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KEYWORDS

Soil science

Vegetation

Earth observing sensors

Landsat

Remote sensing

Agriculture

Interfaces

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