APPLICATION OF LANDSAT THERMAL INFRARED DATA TO STUDY SOIL MOISTURE USING TEMPERATURE VEGETATION DRYNESS INDEX
Keywords:s, land surface temperature, soil moisture, drought, thermal infrared image, temperature vegetation dryness index.
Drought is a natural phenomenon, which occurs in most regions in the world, caused immense damage in agricultural production and seriously affected on the environment. Application of remote sensing data in studying, monitoring and dealing with drought phenomenon has achieved positive results. Compared to traditional methods, remote sensing technology with advantages such as wide area coverage and short revisit interval has been used effectively in the study of soil moisture and monitoring vegetation health. This article presents results of soil moisture monitoring from LANDSAT multispectral images with average spatial resolution using temperature vegetation dryness index (TVDI) based analyzes a correlation between land surface temperature and land cover. Land surface temperature and soil moisture are the most important physical factors for water exchange processes and energy exchanges between
land surfaces and the overlying atmosphere. Temperature can rise very quickly in the situation of drought on surface and vegetation. This study shows a program to use for calculation land surface temperature and temperature vegetation index by Visual C++ programming languages, which can help to reduce costs and save time - compared to using the image processing software such as ERDAS Imagine, ENVI,... The results obtained in this study can be used to create the soil moisture map, to monitor drought phenomenon and vegetation health.
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