Drought Monitoring Based on the Vegetation Temperature Condition Index by IDL Language Processing Method
نویسندگان
چکیده
WenHao Ou, Wei Su ** , Chen Wu, ZhongZheng Zhu, YanMin Li, Shi Shen (Collage of Information and Electrical Engineering, China Agricultural University, Beijing, 100083) 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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