This thesis focused on physically-based model of vegetation parameter retrieval and evapotranspiration estimation based on MODIS data, and its application to assessing regional drought. Firstly, the uncertainties in the MODIS surface reflectance products were discussed.
本文利用MODIS遥感数据,对植被参数反演和区域蒸散发估计的方法和模型进行了研究,在此基础上探讨了遥感在农田缺水状况和干旱评估中的应用。
参考来源 - 植被参数与蒸发的遥感反演方法及区域干旱评估应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Vegetation coverage is an important ecological parameter, possessing important significance to the global environment variation and monitoring investigation.
植被覆盖度是一个十分重要的生态学参数，对于全球环境变化和监测研究具有重要意义。
Leaf area index (LAI) is not only an important attribute of land surface vegetation system, but also a key parameter for the models of global water balancing and carbon circulation.
叶面积指数LAI不仅是陆表植被系统的一个重要属性，而且是全球水平衡、碳循环等模型中的重要输入参数。
Leaf area index (LAI) is a crucial parameter of vegetation canopy structure and controls a number of biophysical processes of vegetation.
叶面积指数(LAI)是植被冠层结构的一个重要参数，它的改变标志着植被发生了生物物理变化。
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