[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-RSEI":3},{"total":4,"page":4,"page_size":5,"items":6},1,100,[7],{"id":8,"title":9,"url":10,"summary":11,"summary_zh":12,"content":13,"source_name":14,"source_url":10,"published_at":15,"category":16,"cover_url":13,"hotness":17,"is_selected":18,"score":19,"score_detail":20,"sources":27,"tags":29,"view_count":35,"doi":36,"paper":37,"created_at":50},2532,"Remote Sensing-Based Spatiotemporal Assessment of Ecological Quality using RSEI from 2016 to 2025: Gala Lake Basin, Türkiye","https:\u002F\u002Fdoi.org\u002F10.35229\u002Fjaes.1965400","Wetland-agricultural basins are among the most sensitive landscapes to ecological change because vegetation dynamics, surface moisture, bare soil exposure, and thermal stress interact within the same hydrological system. This study assessed the spatiotemporal ecological quality of the Gala Lake Basin, Türkiye, from 2016 to 2025 using the Remote Sensing Ecological Index (RSEI). The basin was selected because it contains Gala Lake, associated wetlands, agricultural lands, and seasonally variable water surfaces, making it a representative and environmentally important wetland-agricultural landscape in northwestern Türkiye. Landsat 8 OLI\u002FTIRS and Landsat 9 OLI-2\u002FTIRS-2 images were processed in Google Earth Engine to derive NDVI, WET, NDBSI, and LST, representing greenness, wetness, dryness, and heat, respectively. MNDWI was used to mask open-water areas before RSEI construction. The four indicators were normalized and integrated using PCA, and annual RSEI maps were classified into five ecological quality levels. The results revealed that ecological quality in the basin showed strong interannual variability rather than a uniform trend. The mean RSEI reached its lowest level in 2022 and its highest in 2025. Class-based analysis showed a clear reduction in low-ecological-quality areas and an expansion of moderate-ecological-quality areas by the end of the study period. PCA results confirmed that PC1 captured the dominant ecological gradient in all years, supporting its use for annual RSEI construction. This study demonstrates that RSEI provides a robust and reproducible framework for monitoring ecological quality in wetland-agricultural basins and offers baseline information for long-term environmental management of the Gala Lake Basin.","湿地-农业流域是对生态变化最为敏感的景观之一，因为植被动态、地表湿度、裸土暴露和热胁迫在同一水文系统内相互作用。本研究利用遥感生态指数（RSEI）评估了土耳其加拉湖流域2016年至2025年的时空生态质量。选择该流域是因为其包含加拉湖、相关湿地、农业用地和季节性变化的水面，使其成为土耳其西北部具有代表性和环境重要性的湿地-农业景观。在Google Earth Engine中处理Landsat 8 OLI\u002FTIRS和Landsat 9 OLI-2\u002FTIRS-2影像，以提取NDVI、WET、NDBSI和LST，分别代表绿度、湿度、干度和热度。在构建RSEI之前，使用MNDWI掩膜开阔水域。四个指标经归一化后通过PCA进行整合，并将年度RSEI图分为五个生态质量等级。结果表明，流域生态质量表现出强烈的年际变化，而非一致趋势。RSEI均值在2022年降至最低水平，在2025年达到最高水平。基于等级的分析显示，到研究期末，低生态质量区域明显减少，中等生态质量区域扩大。PCA结果证实，PC1在所有年份均捕捉到了主导生态梯度，支持其用于年度RSEI构建。本研究表明，RSEI为监测湿地-农业流域生态质量提供了一个稳健且可重复的框架，并为加拉湖流域的长期环境管理提供了基线信息。",null,"Journal of Anatolian Environmental and Animal Sciences","2026-09-14T00:00:00Z","论文",10,false,63,{"impact":21,"substance":22,"depth":23,"authority":24,"freshness":25,"relevant":4,"comment":26},8,18,16,12,9,"基于Landsat与Google Earth Engine的湿地-农业流域生态质量遥感评估，方法规范、数据扎实，但属区域案例研究，对国内三农实践的直接参考价值有限。",[28],{"name":14,"url":10},[30,31,32,33,34],"农业信息化","遥感监测","湿地农业","生态质量","RSEI",0,"10.35229\u002Fjaes.1965400",{"doi":36,"openalex_id":38,"authors":39,"venue":14,"cited_by_count":35,"oa_url":10,"card":43,"direction":47,"ingested_from":49},"W7213086036",[40],{"name":41,"orcid":42},"Enes Özgenç","https:\u002F\u002Forcid.org\u002F0000-0003-0878-6418",{"tldr":44,"method":45,"finding":46,"direction":47,"opportunity":48},"基于RSEI评估土耳其Gala湖流域2016-2025年生态质量时空变化。","Landsat影像在GEE中提取NDVI、WET、NDBSI、LST，PCA构建","生态质量年际波动明显，2022年最低、2025年最高，低质量区减少、中质量区扩张。","农业遥感与作物表型","可结合作物物候与灌溉数据，解析湿地-农业复合区生态质量波动的驱动机制。","openalex","2026-09-15T23:30:20.761810Z"]