气候变化对埃塞俄比亚西部Jarmet湿地及其周边地区LULC的影响

Amanuel Kumsa Bojer, K. V. Suryabhagavan, S. Mekasha, Ayad M. Fadhil Al-Quraishi
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引用次数: 1

摘要

由于认识到发生在陆地表面的变化也会影响气候、生态系统及其服务,对土地利用和土地覆盖(LULC)变化的关注已经出现在全球舞台上。本研究旨在绘制埃塞俄比亚贾梅特湿地地表温度和土地利用变化的时间动态图。利用地理空间技术分析了21 a(2000-2021)的变化动态和格局。利用Landsat ETM+和Landsat-8 OLI传感器数据的多时相卫星图像提取土地覆盖图。利用MODIS卫星影像计算研究区2000-2021年的地表温度(LST)趋势。利用最大似然分类器(MLC)进行监督分类,制作流域的LULC地图。使用高分辨率数据评估了分类地图的准确性,并通过实地观测核实和确定了地面实际情况。结果表明:21 a(2000-2021年)湿地、森林、灌丛和草地面积分别减少了-1148.71ha、-1073.26 ha、-1480.1 ha和-87.73 ha。另一方面,耕地和人工林面积呈增加趋势。地表温度均值和最小值呈减小趋势,变化幅度分别为-0.018和-0.073,而最大值呈增大趋势,变化幅度为0.021。总体准确率为84.41%,Kappa指数为76.13%。研究的分析和结果突出了研究地区可持续土地利用资源管理的重要政策含义。研究建议设计和实施指导性的自然资源政策,制止农田的非法扩张,并向社会宣传生境保护区可持续管理的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Climate Change Impacts on LULC in the Jarmet Wetland and its Surrounding Areas in Western Ethiopia
The concerns over land use and land cover (LULC) change have emerged on the global stage due to realization that changes occurring on the land surface also influence climate, ecosystem and its services. This study aimed to map the temporal dynamic of LULC patterns and LST in the Jarmet wetland in Ethiopia. The dynamics and pattern of changes for a period of 21 years (2000-2021) were analyzed using geospatial techniques. Multi-temporal satellite images from Landsat ETM+ and Landsat-8 OLI sensor data were used to extract land-cover maps. The Land Surface Temperature (LST) trend of the study areas was computed using MODIS satellite imagery (2000-2021). Supervised classification using a Maximum Likelihood Classifier (MLC) was applied to prepare LULC maps of the watershed. The accuracy of the classified map was assessed using high-resolution data, and ground realities have been verified and ascertained through field observations. The results revealed a decreased trend in wetland, forest, shrubland and grassland in the period of 21 years (2000-2021) by -1148.71ha, -1073.26 ha, -1480.1 ha, and -87.73 ha, respectively. On the other hand, farmland and plantation areas followed an increasing trend. LST revealed decreasing trend in terms of mean and minimum with a fraction change of -0.018 and -0.073, whereas the maximum LST value shows an increasing trend with 0.021. The overall accuracy was 84.41%, with Kappa index of 76.13%. The analysis and findings of the study highlight important policy implications for sustainable LULC management in the study area. The study suggests the design and implementation of a guided natural resource policy, stopping the illegal expansion of farmland and educating society about the value of the sustainable management of habitat reserves.
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