Among the climatic factors, the thermal regime has the most impact on the different stages of plant development, and according to the thermal stability principle, each plant reaches a certain stage of its development, which receives a certain amount of heat from the environment. For this purpose, the degree of growth day (GDD) is used to determine the exact stages of plant phenology. The usual routine in the past has been that air temperature data from time to time was used to calculate GDD. At present, due to the considerable development of remote sensing sensors, especially the sensors that record the thermal region of the electromagnetic spectrum, the GDD index can be obtained by means of thermal fluctuations. This remote sensing model can provide ground surface temperature data that plays a key role in various phonological stages. Therefore, the purpose of this study was to provide maps of GDD through land surface temperature (LST) using MODIS satellite data and the index of growth rate of the day. For this purpose, after obtaining satellite data, two dominant species of rangeland including Bromus tomentellus and Astragalus effusus in Chaharmahal and Bakhtiari province were selected and their phenological stages were evaluated by field measurements and meterological temperature data. The field-based GDD of these species were evaluated using weather station data. The high correlation between mean, maximum and minimum air temperature and MODIS surface temperature data showed that satellite temperature products have high potential for calculating the GDD of the species. Using thermal data from MODIS, it is possible to spend much less time on time and time than conventional methods of day-to-day growth for the various stages of phenology at large levels and produce maps that are accurate enough. Knowing the heat requirement or the degree of growth of plant phonological stages in the rangeland can help to determine the appropriate time for livestock entering and leaving and collecting seeds in rangelands. Keywords: LST, MODIS, GDD, GDD map, Thermal remote sensing, Iran