Drought analysis based on remote sensing and ancillary data

Liangming Liu; Deren Li

doi:10.1117/12.441382

25 September 2001 Drought analysis based on remote sensing and ancillary data

Liangming Liu, Deren Li

Proceedings Volume 4548, Multispectral and Hyperspectral Image Acquisition and Processing; (2001) https://doi.org/10.1117/12.441382
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

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.

Citation Download Citation

Liangming Liu and Deren Li "Drought analysis based on remote sensing and ancillary data", Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); https://doi.org/10.1117/12.441382

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