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机译:利用MODIS数据和机器学习算法绘制农田土壤有机质的动态图。
Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China|Minist Agr, Key Lab Agr Remote Sensing, Beijing 100081, Peoples R China|Univ New Hampshire, Earth Syst Res Ctr, Inst Study Earth Oceans & Space, Durham, NH 03824 USA;
Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China|Univ New Hampshire, Earth Syst Res Ctr, Inst Study Earth Oceans & Space, Durham, NH 03824 USA;
Univ New Hampshire, Earth Syst Res Ctr, Inst Study Earth Oceans & Space, Durham, NH 03824 USA;
Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China|Minist Agr, Key Lab Agr Remote Sensing, Beijing 100081, Peoples R China;
Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China|Minist Agr, Key Lab Agr Remote Sensing, Beijing 100081, Peoples R China;
Digital soil mapping; Multi-year; Soil organic carbon; MODIS; Machine learning algorithms; Cropland;
机译:基于机器学习算法的多源地理空间数据基于地理对象的土壤有机质标测
机译:基于地理对象的土壤有机物质映射,采用多源地质空间数据的机器学习算法
机译:基于机器学习算法的DEM衍生物,Sentinel-1和Sentinel-2数据的土壤有机碳和土壤总氮的高分辨率数字映射
机译:高光谱数据定量绘制土壤有机质含量的多元统计分析与模糊识别算法比较
机译:评估时间序列MODIS数据以在美国中部大平原进行耕地制图
机译:使用机器学习算法和热带环境中的遥感数据的滑坡易感性映射
机译:光谱匹配技术(SMT)和自动农田分类算法(ACCA)使用MODIS 250-m时间序列(2000–2015)数据绘制澳大利亚农田图