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机译:验证使用MODIS时间序列进行美国加利福尼亚州农业土壤盐分评估
Computational and Data Sciences Graduate Program, Schmid College of Science and Technology, Chapman University;
Department of Environmental Sciences, University of California Riverside,United States Salinity Laboratory, United States Department of Agriculture – Agricultural Research Service;
Center of Excellence in Earth Systems Modeling & Observations, Chapman University,Schmid College of Science and Technology, Chapman University,Department of Environmental Sciences, Faculty of Science, Alexandria University;
United States Salinity Laboratory, United States Department of Agriculture – Agricultural Research Service;
Schmid College of Science and Technology, Chapman University;
United States Salinity Laboratory, United States Department of Agriculture – Agricultural Research Service;
Soil salinity indicator; Salinity stress; Vegetation reflectance; Remote sensing; MODIS time series data;
机译:利用MODIS时间序列数据估算累积温度和土壤盐分影响下的冬小麦物候
机译:使用时间序列MODIS数据评估和绘制突尼斯水土流失风险。
机译:使用时间序列MODIS数据评估和绘制突尼斯水土流失风险
机译:在当前和改进的管理下,美国大平原地区农业土壤温室气体净通量的区域评估
机译:评估时间序列MODIS数据以在美国中部大平原进行耕地制图
机译:孟加拉国Noakhali沿海地区农业方面的土壤盐度评估土壤盐度及其对农业方面的影响
机译:尼日尔谷的灌溉稻田的土壤盐度评估使用4年的时间序列的Sentinel-2卫星图像