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

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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Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-370, pp.43-49, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27275-2_5〉
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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. Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-370, pp.43-49, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27275-2_5〉. 〈hal-01361118〉

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