Multi-feature fusion for grassland information extraction and temporal change monitoring
构建多特征融合框架，在GEE上高精度提取山地草地并监测2000-2025年时空变化。
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该研究在Google Earth Engine上融合光学、SAR、纹理与地形特征，将亚热带山区草地提取总体精度提升至93.79%，并发现南山牧场西南部植被覆盖度显著下降，可作为类似山区草地退化早期识别的技术参考。
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#植被覆盖度
沿着“植被覆盖度”继续探索，共 1 条内容。
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没有这个标签，内容接近Mapping and Quantitative Assessment of Vegetation Cover Using Sentinel-2 Satellite Data in Hunsur Taluk, Karnataka, India
用Sentinel-2影像和随机森林分类，绘制并量化印度Hunsur Taluk的植被覆盖。
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Higher vegetation diversity and stronger forest structure occur in managed zones despite widespread land cover degradation in Ise Forest Reserve Nigeria
研究尼日利亚Ise森林保护区管理区与干扰区的植被多样性和结构差异及土地覆盖退化。
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Assessing soil erosion in understory-eroded forestlands based on the three-dimensional index of stratified vegetation volume
提出分层植被体积三维指数评估林下侵蚀，发现近地表层是保土核心。
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Remote Sensing-based Integration of Land Use/Land Cover, Vegetation Cover, and Land Surface Temperature with Hydrological Implications in Tikrit City, Iraq
基于Landsat 2017与2025年数据，分析伊拉克提克里特市LULC、NDVI与LST的耦合关
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Dinâmica de supressão e recuperação florestal por meio do índice NDVI: um estudo de caso em Realeza – PR (2016 - 2026)
基于Sentinel-2 NDVI时序评估2016-2026年Realeza-PR森林消长与破碎化动
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Urban greening resources and visibility–soil-moisture coordination in Dubai: Spatiotemporal patterns, spatially varying drivers, and planning implications
以迪拜为例分析城市绿化资源与能见度-土壤湿度协调度的时空格局及驱动因素。
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Spatiotemporal Variations of NDVI and Their Responses to Climate Change and Human Activities in Guizhou, China (2000-2020)
利用30米分辨率Landsat NDVI数据，分析贵州2000-2020年植被时空变化及其对气候和人
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Impact of Land Use and Land Cover Change on Vegetation Cover Loss in Rwanda: Evidence from Muhoza Sector, Musanze District (2015–2025)
分析卢旺达Muhoza地区2015–2025年土地利用变化对植被覆盖丧失的影响。
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