植被(病理学)
遥感
环境科学
天蓬
土壤水分
含水量
土壤科学
微波食品加热
计算机科学
地质学
生态学
医学
电信
生物
病理
岩土工程
作者
T. Jackson,Thomas J. Schmugge
标识
DOI:10.1016/0034-4257(91)90057-d
摘要
Research has shown that soil moisture information can be retrieved by passive microwave remote sensing. This is even possible when there is a vegetation canopy present if the effects of the vegetation are corrected for. Vegetation correction algorithms must attempt to include all significant physical parameters, yet they must also only require data that can be readily obtained. Previous research proposed a model that attempted to meet these requirements. Critical to this model is the estimation of a vegetation parameter b that characterizes the canopy. In this study we evaluated published data to determine the functional dependence of this parameter on vegetation characteristics.
科研通智能强力驱动
Strongly Powered by AbleSci AI