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

被引：0
|
作者：
Ou, WenHao [1 ]
Su, Wei [1 ]
Wu, Chen [1 ]
Zhu, ZhongZheng [1 ]
Li, YanMin [1 ]
Shen, Shi [1 ]
机构：
[1] China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China
来源：
COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE V, PT III | 2012年 / 370卷
关键词：
VTCI; Drought Monitoring; Batch Processing; IDL; SURFACE TEMPERATURE;
D O I：
暂无
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
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.
引用
收藏
页码：43 / 49
页数：7
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