Vegetation Cover Receding Analysis In Baghdad City Through (2017-2024) Using Remote Sensing Imagery And Geographical Information System

Abstract

This study analyses the vegetation cover receding in Baghdad city through 2017-2024 by the use of the Landsat 8 imagery, Sentinel2 imagery, and Arcgis10.7 program. The imagery of Landsat8 and Sentinel2 is taken in certain times, which are chosen according to the growth season and the best climatic conditions. Those two satellites are chosen for that they give more accuracy because Landsat gives data for the same point every 16 days and Sentinel gives the data for that point every five days.   After producing the NDVI and NDBI indices the results show that the highest value of the NDVI in the year 2017was 0.599 and the lowest value was- 0.255 while in the year 2024 the highest value for the same index was 0.438 and the lowest value was - 0.083, which declares the decreasing in the vegetation cover in Baghdad city throughout the last years, in the same time the values of NDBI show increasing within the same years.These results illustrate the problem that Baghdad will face if solutions are not found to the problem of the receding of the vegetation cover.