机译:基于MODIS数据和FAO-56作物系数法的冬小麦区域蒸腾遥感。
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China,Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China,Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China;
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China;
Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China;
Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China;
Transpiration; MODIS Data; FAO-56 Crop Coefficient Method; Winter Wheat;
机译:使用遥感和FAO-56基础作物系数进行棉花灌溉计划
机译:使用遥感和FAO-56基础作物系数进行棉花灌溉计划
机译:结合FAO-56模型和地面遥感,估算半干旱地区小麦作物的耗水量
机译:基于遥感-作物模型数据同化和数值天气预报的区域冬小麦成熟日期预测
机译:使用遥感和基于网格的气象数据集进行区域大豆产量预测和作物监测。
机译:基于MODIS的可扩展遥感方法以估算巴西Mato Grosso大豆作物的播种和收获日期
机译:利用FAO-56综合方法和遥感数据估算埃及尼罗河南部三角洲的蒸发蒸腾量ETc和小麦作物系数Kc