Document Type : Original Article
The Land Surface Temperature Index (LST) is an essential factor to assess global climate change and estimate the amount of radiation in heat balance studies. LST is the controller for creating climate models. This study estimates the surface temperature of the earth in Yazd province of Iran using data provided from Landsat 4, 5 TM (Thematic Mapper) satellites to observe the environmental and climate change. LST changes were investigated using analysis and classification of different land uses and land covers. The land surface emissivity of each pixel was directly obtained by using satellite data, and it was appeared that a narrow band of satellite sensors has the smallest errors for estimating surface temperature. A strong relationship was observed between surface temperature and the Normalized Difference Vegetation Index (NDVI) over various land uses and land covers, and also in relation to sparse vegetation covers. Evaluation of the relationship between these parameters showed that it was possible to simply estimate the surface temperature using known NDVI values. The obtained results in this study were indicated that there is a suitable methodology for assessing the NDVI index, surface emissivity and land surface temperature over heterogeneous territories with acceptable accuracy.