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Jokar Arsanjani et al.
Evaluation of different machine learning methods for land cover mapping of a Mediterranean area using multi-seasonal Landsat images and Digital Terrain Models [0.03%]
使用多季节陆地卫星图像和数字地形模型对地中海地区土地覆盖测绘的不同机器学习方法进行评估
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Rodriguez-Galiano
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Pohl
The global Landsat imagery database for the FAO FRA remote sensing survey [0.03%]
粮农组织森林资源评估遥感调查的全球陆地卫星图像数据库
Potapov, P.; Hansen, M.C.; Gerrand et al.
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Generation of high spatial and temporal resolution NDVI and its application in crop biomass estimation [0.03%]
高时空分辨率NDVI的生成及其在作物生物量估算中的应用
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Meng et al.
Modeling the spatiotemporal dynamics of electric power consumption in Mainland China using saturation-corrected DMSP/OLS nighttime stable light data [0.03%]
利用饱和校正的DMSP/OLS夜间稳定光数据模拟中国大陆电力消耗的时空动态
He, Chunyang; Ma, Qun; Liu et al.
He et al.
Spectral sensitivity of ALOS, ASTER, IKONOS, LANDSAT and SPOT satellite imagery intended for the detection of archaeological crop marks [0.03%]
用于探测考古作物标记的ALOS、ASTER、IKONOS、LANDSAT和SPOT卫星图像的光谱灵敏度
Agapiou, Athos; Alexakis, Dimitrios D.; Hadjimitsis et al.
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European digital archive on soil maps (EuDASM): preserving important soil data for public free access [0.03%]
欧洲土壤图数字档案馆(EuDASM):保存重要的土壤数据供公众免费访问
Panagos, Panos; Jones, Arwyn; Bosco et al.
Panagos et al.
Chen, Min; Lin, Hui; Wen et al.
Chen et al.
Mahdavi-Amiri, Ali; Harrison, Erika; Samavati et al.
Mahdavi-Amiri et al.