遥感技术估算非光合植被覆盖度研究综述

A Review on Estimating Fractional Cover of Non-photosynthetic Vegetation by Using Remote Sensing

定量地估算光合植被覆盖度(fPV)和非光合植被覆盖度(fNPV)对陆地生态系统碳储存、植被生产力、土壤侵蚀和火灾监测具有重要的意义。非光合植被在温带草原、热带稀树大草原、森林、沙地、农田等生态系统中扮演着重要的角色,是衡量地表植被覆盖状况的重要指标。综述了目前利用高光谱和多光谱遥感估算fNPV的研究进展,讨论了PV、NPV和BS光谱特征的理论基础,总结了目前估算fNPV的两种主要方法:光谱指数法和光谱混合分析法,并分析了高光谱和多光谱两种主要遥感数据源实际应用。最后对fNPV估算研究中存在的问题以及发展趋势进行了分析,以期为今后的fNPV估算提供借鉴和参考。

The quantitative estimation of fractional cover of photosynthetic vegetation（fPV）, non-photosynthetic vegetation（fNPV）,and bare soil（fBS） is critical for grassland ecosystem carbon storage, vegetation productivity,soil erosion and wildfire monitoring. The ecological importance of NPV has driven considerable research on quantitatively estimating NPV in diverse ecosystems including croplands,forests,grasslands savannah,and shrublands using remote sensing.This paper reviews the research progress in estimating fNev using hyperspectral and multisspcetral remote sensing data,and hightlights discusses the theoretical bases of PV,NPV and BS spectral characteristics, based on the existing methods for estimating fNPV, this article groupd into two categories： empirical relationship between spectral index and NPV cover,and Spectral mixture analysis. Meanwhile,also discuss applications, of hyperspectral and multisspcetral remote sensing data.Finally,the existential problems and research trends for NPV estimation are analyzed.