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机译:使用高空间分辨率的多源数据建模和映射眼睛级绿色能见度曝光
Department of Geography School of Environment Education and Development (SEED) University of Manchester Arthur Lewis building (1st Floor) Oxford Road Manchester M13 9PL United Kingdom Centre for Diet and Activity Research (CEDAR) MRC Epidemiology Unit University of Cambridge Clifford Allbutt Building CB2 0AH Cambridge United Kingdom;
Department of Geography School of Environment Education and Development (SEED) University of Manchester Arthur Lewis building (1st Floor) Oxford Road Manchester M13 9PL United Kingdom;
Department of Geography School of Environment Education and Development (SEED) University of Manchester Arthur Lewis building (1st Floor) Oxford Road Manchester M13 9PL United Kingdom;
Greenspace; Eye level greenness visibility; Environmental exposure; Geographic Information Systems; Urban health; Street view;
机译:整合多源地质空间数据集和扩展证据权重模型的青海省东昆仑地区铜铅锌矿床的矿产潜力图
机译:基于多源遥感数据和GRNN模型的土壤水分空间和时间分辨率提高算法
机译:迈向地中海城市绿色可持续发展战略:使用环境建模,GIS和超高分辨率的遥感数据评估希腊北部萨洛尼卡大规模实施绿色屋顶的好处
机译:整合多源地质空间数据集和Logistic回归建模的矿物前瞻图
机译:使用制图本体探索用于植被制图的非常高的空间分辨率数据:识别生命形式到制图地层
机译:通过整合不同时空分辨率的土壤水分和绿色植被分数数据,改进非静水数值除尘模型
机译:使用多源数据开发用于以10米空间分辨率映射油菜的映射和像素的算法