Desertification is an ecological and biological land reduction that may occur naturally or artificially. The aim of t his study was to investigate the trend of desertification process in the east of Isfahan city using thermal and reflectance data from Landsat and MODIS sensors. for this purpose, image classification and four image indices including NDVI, LST and moisture indices (TVDI and SWI) were applied to geometrically and radiometrically corrected TM 1987 and 1998, ETM+ 2002, OLI 2014 and MODIS images from 2001 to 2014. To identify the effect of land use/cover changes on desertification, post classification technique was used to extract different classes for Landsat data in four periods including 1987-1998, 1998-2002, 2002-2014 and 1987-2014. Then, the classified land use/cover images were compared with Landsat LST, MODIS LST, MODIS TVDI and MODIS SWI. To assess the accuracy of Landsat LST 2014, MODIS LST, TVDI and SWI images, field-based LST and moisture data were collected with use of digital thermometer and TDR sensor at the overpass time of the sensors and were compared against these image indices using regression analysis. According to the results, among the land use/cover classes extracted here including range land , urban area, bare lands, sand dune, sand sheet, water, salt land, agricultural lands and rock. the largest changes was observed in the agricultural and bare land classes over the 27 years of the study. Bare lands increased by 46656 ha in these years. Agricultural lands were about 58510 ha in 1987 years and 30234 ha in 2014 years. This represents a decrease of 64.%, as a result of land degradation in the region. Relationships up to 72% between MODIS and landsat8 LST and field- based LST and relationships up to 78% between field–based moisture data and moisture indices that the outputs of satellite data can be used as appropriate indicators of land surface characteristics. Pixel- based relationships between MODIS LST and moisture indices including TVDI and SWI and also NDVI index from 2001 to 2014 showed that with increasing LSTand TVDI, the values of SWI and NDVI indices decrease in this period and vise versa. Similar results were also observed between these indices and Landsat land use/ cover classified images. For example, with an increase in the area of bare land class, LST and TVDI values increased and a reduction was observed in the SWI values. The outputs of different image processing techniques indicated that desertifiation has had a positive trend in the region over the past three decades. In conclusion, results showed that in addition to Kay Word:Desertification, Landsat, MODIS, TVDI, SWI, Land Use, LST