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Proceedings Paper

Drought analysis based on remote sensing and ancillary data
Author(s): Liangming Liu; Deren Li
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Paper Abstract

Three main models (linear, logarithmic, and exponential model) are introduced in this paper for monitoring the current soil moisture according to the Apparent Thermal Inertial (ATI) theory based on NOAA AVHRR data. The processing steps of these models are presented in detail as well. The three models are tested and validated by using ground truth data. Then the environment that has caused drought is also discussed in the paper by using ancillary data including DEM and LANDCOVER. The results reveal that all the three models can meet the need of the large scale drought monitoring, and that the application of ancillary data not only makes the quantitative analysis of drought distribution and it causes possible, but also validates the models correctness in a certain extent.

Paper Details

Date Published: 25 September 2001
PDF: 6 pages
Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); doi: 10.1117/12.441382
Show Author Affiliations
Liangming Liu, Wuhan Univ. (China)
Deren Li, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 4548:
Multispectral and Hyperspectral Image Acquisition and Processing
Qingxi Tong; Yaoting Zhu; Zhenfu Zhu, Editor(s)

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