Drought Monitoring Based on the Vegetation Temperature Condition Index by IDL Language Processing Method - Computer and Computing Technologies in Agriculture V - Part III Access content directly
Conference Papers Year : 2012

Drought Monitoring Based on the Vegetation Temperature Condition Index by IDL Language Processing Method

Wenhao Ou
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Wei Su
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Abstract

Landsat TM5 images are used to calculate and retrieve normalized difference vegetation index (NDVI) and land surface temperature (LST). Combining with two index mentioned, vegetation temperature condition index (VTCI) can be retrieved for drought monitoring indicator applied in Junchuan farm of Heilongjiang Province in Northeast China. With well performance in matrix operation of IDL language, retrieving VTCI in a short time, fast batch calculation and mapping work as well, to a great extent, saving time and laborites, also providing real-time data for the government’s macroeconomic regulatory policy.
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hal-01361118 , version 1 (06-09-2016)

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Wenhao Ou, Wei Su, Chen Wu, Zhongzheng Zhu, Yanmin Li, et al.. Drought Monitoring Based on the Vegetation Temperature Condition Index by IDL Language Processing Method. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. pp.43-49, ⟨10.1007/978-3-642-27275-2_5⟩. ⟨hal-01361118⟩
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