机译:使用粒子滤波器和高空间分辨率的双状态参数更新方案远程感测雪深度,以提高雪地模拟
Tsinghua Univ Dept Hydraul Engn State Key Lab Hydrosci &
Engn Beijing 100084 Peoples R China;
Tsinghua Univ Dept Hydraul Engn State Key Lab Hydrosci &
Engn Beijing 100084 Peoples R China;
Tsinghua Univ Dept Hydraul Engn State Key Lab Hydrosci &
Engn Beijing 100084 Peoples R China;
Tsinghua Univ Dept Hydraul Engn State Key Lab Hydrosci &
Engn Beijing 100084 Peoples R China;
Chinese Acad Sci Northwest Inst Ecoenvironm &
Resources Lanzhou 730000 Peoples R China;
Tsinghua Univ Dept Hydraul Engn State Key Lab Hydrosci &
Engn Beijing 100084 Peoples R China;
Dual state-parameter updating scheme; Particle filter; High-spatial-resolution remotely sensed snow depth; Snow water equivalent; Headwaters of the Yangtze River;
机译:通过使用粒子过滤器吸收雪深来改善基于雪的物理模拟
机译:每月降雪深度观测的粒子滤波数据同化可提高对雪密度和SWE的估计
机译:将基于MODIS的反照率和积雪分数纳入通用土地模型,以通过直接插入和确定性集成卡尔曼滤波方法改善积雪深度模拟
机译:青藏高原高原地区利用SSM / I遥感数据反演雪深及其结果评估
机译:从遥感信息分类和估计中检索积雪深度。
机译:利用遥感土壤水分和积雪深度改善河流流量预测
机译:用遥感技术确定雪深和水当量。