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[1]ZHAO Guang-min,LI Xiao-yan,LI Bao-yi.An Overview on Agricultural Drought Montoring Methods Based on Land Surface Temperature and Vegetation Index Feature Space[J].Research of Soil and Water Conservation,2010,17(05):245-250.

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An Overview on Agricultural Drought Montoring Methods Based on Land Surface Temperature and Vegetation Index Feature Space

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 17 Number of periods: 2010 05 Page number: 245-250 Column: Public date: 2010-10-20

Title:: An Overview on Agricultural Drought Montoring Methods Based on Land Surface Temperature and Vegetation Index Feature Space

Author(s):: ZHAO Guang-min, LI Xiao-yan, LI Bao-yi; College of Earth Sciences of Jilin University, Changchun 130061, China

Keywords:: surface temperature; vegetation index; drought sensing; remote sensing

CLC:: P426.616;TP79

DOI:: -

Abstract:: Remote sensing technology used in agriculture drought sensing frequently for advantage, quickly reaction, wide scope and so on. Both the land surface temperature (Ts) and the vegetation index (NDVI) derived from the data of remoting sensing can not only reveal information of physiol ogy and growth of green vegetation, but also indicate information of soil water and display drought-suffering content of green vegetation. Nevertheless, there still exists some limitations when only one of the two parameters is used. The two-dimensional feature space based on T_s and NDVI is good at unifying rational standards of drought distinction,and effectively improve the problem that the green vegetation turns slowly in the water-heat threat environment when drought occurs,the feature space also enhances the precision and the utility of agricultural drought monitoring. Based on the LST-NDVI approach,this paper makes a detailed description of the principle and serviceable rage of the methods, and sums up the advantages and disadvantages inapplication of the 4 methods with examples. Some problems worthy of further attention in this field are also discussed.

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