crops; data assimilation; geophysics computing; hydrological techniques; hydrology; neural nets; vegetation mapping; Central China; HJ1A Chinese satellite optical data; HJ1B Chinese satellite optical data; PROSAIL model simulations; Shaanxi; Xiaotangshan; Yangling; artificial neural networks; crop growth models; crop water response models; farmland drought assessment tool development; fractional canopy cover; leaf area index; multisource remote sensing data; regional scale; remotely sensed canopy biophysical variable assimilation; wheat yield; yield losses; Agriculture; Biological system modeling; Computational modeling; Data models; Optimization; Remote sensing; Satellites; Aquacrop; Crop model; Ensemble Kalman Filter (EnKF); SAFY; sensitivity analysis;
机译:利用作物模型和遥感数据同化方法评估玉米产量的水文气候变量
机译:作物模型评价玉米产量估计的液压变量及远程感测数据同化
机译:使用基于规则的模型来检测从远程感测的水力气象变量的未凝固区域中的水文干旱
机译:基于常见感测冠层生物物理变量的农田水响应模型的分化的农田干旱评估工具的发展
机译:使用多源遥感数据对高龄不等森林的森林清单和生物物理变量进行建模
机译:遥感植被指数与作物叶面积指数之间的关系有多普遍?全球评估
机译:通过遥感土壤水分产品的同化改善澳大利亚水资源评估景观模型的土壤水位