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An improvement of method for monitoring drought using remote sensing

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5 Author(s)
Zhu Ji ; State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, Beijing, China ; Shi Jiancheng ; Chu Hanfang ; Feng Qiang
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In order to improve accuracy of monitoring drought using temperature condition index (TCI), TCI was calculated using the ground temperature which was inverted from the AVHRR data instead of the brightness temperature, and the TCI models for monitoring drought were established in the study. Based on the TCI models and the SHI criteria for classification of drought, the TCI criteria for monitoring drought can be obtained, and are used to monitor drought in China. The validation result of the research showed the TCI models are reliable, and TCI models of ground temperature are better than that of brightness temperature.

Published in:

2009 IEEE International Geoscience and Remote Sensing Symposium  (Volume:2 )

Date of Conference:

12-17 July 2009