APPLICATION OF LANDSAT THERMAL INFRARED DATA TO STUDY SOIL MOISTURE USING TEMPERATURE VEGETATION DRYNESS INDEX

Abstract

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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