Land Use/Land Cover Change Analysis Using Multi-Temporal Remote Sensing Data: A Case Study of Tigris and Euphrates Rivers Basin

Multi-temporal land use/land cover (LULC) change analysis is essential for environmental planning and recourses management. Various global LULC datasets are available now. However, they do not show strong consistency on a regional scale mainly time limited. Therefore, high-quality multi-temporal mapping with reasonable still demanding. In this study, using the Landsat 7, 8, NASA digital elevation model (DEM), of Tigris Euphrates rivers basin (TEB) was performed by random forest (RF) classifier in Google Earth Engine platform during 2000–2022. The spectral bands, indices, morphological, textural features were applied developed procedure. results indicated that proposed approach had accurate performance (accuracy = 0.893 an F score 0.820) good previous studies. feature importance evaluation carried out Gini index, indices identified as most important mapping. Overall, severe has happened TEB last two decades. Our revealed expansion water built-up classes while trees class experienced decreasing trend. From perspective, three main areas east south-east Iraq, north-west Syria where intense. These prone to degradation dust storms emission problems, it necessary take steps prevent changes them.