机译:利用卫星图像时间序列评估河岸流域植被吸收的氮素
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of CAS, Beijing 100875, China,Satellite Environment Center of MEP, Beijing 100094, China;
Satellite Environment Center of MEP, Beijing 100094, China;
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of CAS, Beijing 100875, China;
Department of Civil Engineering, Faculty of Engineering Technology, University of Twente, P.O. Box 217, Enschede 7500 AE, The Netherlands;
Satellite Environment Center of MEP, Beijing 100094, China;
Department of Water Resources, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Hengelosestraat 99, P.O. Box 6, Enschede 7500 AA.The Netherlands;
nitrogen uptake; NPP; remote sensing; riparian catchment; plant growth;
机译:卫星图像数据长时间序列中季节模式的比较评估和全球植被模型的模拟
机译:利用卫星植被指数的时间序列评估全球植被模型
机译:利用卫星植被指数的时间序列评估动态全球植被模型
机译:了解大气变量对基于卫星的多光谱图像时间序列得出的光谱植被指数的影响
机译:佛罗里达州棕榈滩县Loxahatchee泥沼的植被时间序列分析:一种结合了卫星图像和黑白航空摄影的GIS。
机译:河流流在亚热带流域构造木质的河岸植被吗?
机译:利用卫星植被指数的时间序列评估动态全球植被模型