机译:利用分层条件拉丁超立方体采样方法和地统计模拟监测和识别多个遥感图像中的时空景观变化
Department of Bioenvironmental Systems Engineering, National Taiwan University, 1, Sec. 4, Roosevelt Rd., Da-an District, Taipei City 106, Taiwan;
Department of Bioenvironmental Systems Engineering, National Taiwan University, 1, Sec. 4, Roosevelt Rd., Da-an District, Taipei City 106, Taiwan;
Department of Bioenvironmental Systems Engineering, National Taiwan University, 1, Sec. 4, Roosevelt Rd., Da-an District, Taipei City 106, Taiwan;
Department of Bioenvironmental Systems Engineering, National Taiwan University, 1, Sec. 4, Roosevelt Rd., Da-an District, Taipei City 106, Taiwan;
NewFields, 1349 W. Peachtree St. Suite 2000, Atlanta, GA 30309, USA;
stratified conditional latin hypercube sampling; sequential gaussian simulation; landscape change; remotely sensed images;
机译:利用条件拉丁超立方采样和地统计学方法遥感数据,描述由大年代际物理扰动引起的景观变化
机译:通过条件拉丁超立方采样和地统计学模拟对土壤中重金属含量的空间不确定性建模
机译:通过条件拉丁超立方采样和地统计学模拟对土壤中重金属含量的空间不确定性建模
机译:使用条件蒙特卡洛和拉丁超立方体采样的分位数估计
机译:主动和被动遥感数据在监测红树林时空动态中的新用途。
机译:森林火灾危险时空地质统计分析的远程感测数据融合
机译:利用条件拉丁超立方抽样遥感数据和地质统计学方法描绘大型年代物理扰动引起的景观变化
机译:第一卷。试点研究 - LaNDsaT图像。卷B.p胃项目编号73-spOT图像。