نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه مهندسی طبیعت، دانشگاه ایلام
2 عضو هیئت علمی دانشگاه ایلام
3 دانشگاه ایلام
4 مهندسی طبیعت، دانشکده کشاورزی، دانشگاه ایلام
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Land use and land cover (LULC) changes are among the most significant environmental–socioeconomic processes affecting ecosystems, biodiversity, and the provision of ecosystem services. Urban expansion, agricultural development, and the conversion of rangelands into croplands are major drivers of land use change that may lead to land degradation and reduced resource sustainability. Therefore, continuous and accurate monitoring of LULC changes is essential for resource planning and management. The present study aims to investigate land use changes in the Mehran Plain, Ilam Province, using Landsat satellite imagery including Landsat 5 (1996), Landsat 7 (2002 and 2010), and Landsat 8 (2022) through an object-based classification approach. To present and analyze the classification results, indices such as Principal Component Analysis (PCA), the Normalized Difference Vegetation Index (NDVI), and change detection techniques were employed. The results indicated that barren lands achieved producer’s and user’s accuracies exceeding 99% in 2002, demonstrating high spectral separability of remote sensing data for this class. Conversely, the lowest producer’s and user’s accuracies were observed for barren lands in 2010, with values of 79% and 77%, respectively. The highest overall classification accuracy was obtained for 2022, with an overall accuracy of 90.28% and a Kappa coefficient of 86.89%. The greatest land use area changes in the study area were related to agricultural lands and fair and poor rangelands. NDVI results from 1996 to 2022 indicated an increase in vegetation cover in 2022, mainly due to the expansion of agricultural lands. Change detection analysis revealed that the most significant transitions involved the conversion of fair rangelands into agricultural lands and poor rangelands. The findings can contribute to land evaluation, environmental studies, and integrated planning and management for the sustainable utilization of natural resources and the reduction of land degradation in the region.
کلیدواژهها [English]
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