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利用光学遥感技术定量估测植被含水量,有助于森林火险评估、农业干旱监测和作物产量估计.本文评述利用光谱反射率、光谱水分指数和辐射传输模型方法反演植被含水量的研究进展,从观测数据和辐射传输模型评估了光谱水分指数估测植被含水量的可靠性.重点针对植被含水量的两个主要定义—可燃物含水量(FMC)和等效水厚度(EWT),分析了植被水分指数对FMC和EWT的反演精度.而且利用观测数据和数据库估算植被含水量,结果表明三类水分指数(WSI,NDII,NDWI1640,WI/NDVI)均与冬小麦冠层FMC有较好的相关性(n=45).最后,本文总结了光学遥感探测植被含水量进一步的发展方向.
Quantitative estimation of vegetation water content by using optical remote sensing technology is helpful to forest fire risk assessment, agricultural drought monitoring and crop yield estimation. This paper reviews the research progress of using spectral reflectance, spectral moisture index and radiative transfer model to retrieve vegetation water content, The reliability of spectral moisture index in estimating vegetation water content was evaluated from observed data and radiative transfer model. Focusing on the two main definitions of vegetation water content - FMC and EWT, Vegetation moisture index of FMC and EWT retrieval accuracy. And the use of observational data and database to estimate the vegetation water content, the results showed that the three types of water index (WSI, NDII, NDWI1640, WI / NDVI) with winter wheat canopy FMC better Correlation (n = 45) .Finally, the paper summarizes the further development of optical remote sensing to detect vegetation water content.