机译:利用机器学习和卫星数据预测土壤有机碳和C:N比例的国家规模:Sentinel-2,Sentinel-3和Landsat-8图像的比较
Humboldt-Universitaet zu Berlin Department of Geography Unter den Linden 6 10099 Berlin Germany Helmholtz Centre for Environmental Research - UFZ Department of Computational Landscape Ecology Permoserstrasse 15 04318 Leipzig Germany;
Nanjing Agricultural University College of Resources and Environmental Sciences Weigang 1 210095 Nanjing China;
Jiangsu Academy of Agricultural Sciences Institute of Agricultural Resource and Environmental Sciences Zhongling Street 50 210014 Nanjing China;
Nanjing Agricultural University College of Resources and Environmental Sciences Weigang 1 210095 Nanjing China;
Anhui Science and Technology University College of Resource and Environment Donghua Road 9 233100 Chuzhou China;
Nanjing Agricultural University College of Resources and Environmental Sciences Weigang 1 210095 Nanjing China;
Helmholtz Centre for Environmental Research - UEZ Department Monitoring and Exploration Technology Permoserstrasse 15 04318 Leipzig Germany;
Humboldt-Universitaet zu Berlin Department of Geography Unter den Linden 6 10099 Berlin Germany Helmholtz Centre for Environmental Research - UFZ Department of Computational Landscape Ecology Permoserstrasse 15 04318 Leipzig Germany;
Humboldt-Universitaet zu Berlin Department of Geography Unter den Linden 6 10099 Berlin Germany Helmholtz Centre for Environmental Research - UFZ Department of Computational Landscape Ecology Permoserstrasse 15 04318 Leipzig Germany;
Soil organic carbon; C:N ratio; Sentinel; Landsat; Machine learning; Digital soil mapping;
机译:基于机器学习的干旱干旱地区土壤盐分的检测:Landsat-8 OLI和Sentinel-2 MSI的比较
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:通过结合Landsat-8和Sentinel-2卫星监测溶解的有机碳:休伦湖萨吉诺河河口的案例研究
机译:比较Sentinel-2和Landsat-8 OLI卫星图像与高空间分辨率图像(MIVIS和WorldView-2)以绘制波西多尼亚大洋草甸
机译:使用土壤测试数据,卫星(Landsat 8和Planetscope)的遥感影像以及网状土壤调查数据估算耕种土壤中的土壤有机碳
机译:近红外光谱预测新靶区域中的土壤有机碳:尖峰对不同规模土光谱文库的影响
机译:利用Landsat-8和Sentinel-2的卫星数据评估北约旦北部土壤表面颜色的空间变异性