Evaluation of vegetation drought in Kermanshah province using infrared images

Today, in the field of studying and explaining the integrated system based on the use of satellites, various satellites have been used to monitor and predict the environmental conditions of the earth in the long and short term and the economic activities related to the weather. These systems are based on remote sensing or satellite observations from the earth, biophysical theory of plant response to climate conditions, a set of satellite data processing algorithms, interpretation, product development, validation, calibration and applications. . New satellite observations are mainly represented by advanced infrared images, which are very efficient. In this regard, the use of remote sensing methods is known as one of the most efficient methods to monitor the effects of rainfall on vegetation. In order to reveal the effect of precipitation on vegetation, the monthly average (SPI) of precipitation data of 13 synoptic meteorological stations was used. Then, using infrared images as a weekly average of 2013 -2021 (April 1st to the end of July), the status of vegetation was examined. The correlation level (SPI) with NDVI, TCI, VCI and VHI indexes is 0.0025, 0.0027, 0.069, 0.050 respectively. (VCI) index has a higher correlation with (SPI), which can be suitable as a combined method of remote sensing and weather station information (SPI) to investigate vegetation conditions in Kermanshah province. Vegetation has faced different degrees of drought every year. The most severe vegetation drought in 2015 occurred in the central, southern and northeastern parts of the province. In 2013, a less severe drought occurred and in 2016, 2018, 2019 and 2020, the vegetation was in more favorable conditions.