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Short-Term Spatiotemporal Changes Analysis in Wetlands Areas (Case Study: MianKaleh Wetland) | ||
| Earth Observation and Geomatics Engineering | ||
| دوره 8، شماره 2، اسفند 2024 اصل مقاله (1.46 M) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22059/eoge.2025.395683.1178 | ||
| نویسندگان | ||
| Navid Alizadeh1؛ Fatemeh Tabib Mahmoudi* 2 | ||
| 1Shahid rajaee Teacher Training University | ||
| 2Assistant Professor, Shahid Rajaee Teacher Training University | ||
| چکیده | ||
| Wetlands are important areas for several main reasons such as their ability to purify the air, having the main resources of income for the local people by attracting tourists and being habitats for various plant and animal species. Wetlands’ drought causes major challenges such as biodiversity reduction, increasing soil erosion and dust, water pollution, unemployment and poverty. Remote sensing data is one of the best tools available for better managing and protection of wetland resources, as well as monitoring changes, due to its high accuracy, speed, and low cost compared to the field measurements. This study examines the Land Use Land Cover (LULC) changes in the Miankaleh wetland in a short-term study composed of seven-year period between 2016 and 2023, using Sentinel-2 satellite images and a Digital Elevation Model (DEM). The proposed method is a post-classification change analysis based on the supervised Random Forest classifier and the spectral and elevation features fusion. The obtained results of the changes analysis in the Miankaleh wetland represents that during the seven-year period studied in this research, the area of water bodies decreased by 6% and the area of barren lands increased by about 7% due to the wetland's drought. However, the rate of changes was more severe in the recent four years of this study (2019 to 2023) by decreasing the 11343.36 hectares of water bodies’ area. The wetland's drought occurred more rapidly in the recent four years by increasing the 14102 hectares to the area of the barren lands. | ||
| کلیدواژهها | ||
| Change Detection؛ Post-Classification؛ Wetland؛ Random Forest؛ Feature Fusion | ||
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آمار تعداد مشاهده مقاله: 315 تعداد دریافت فایل اصل مقاله: 203 |
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