基于合成孔径雷达遥感的森林地上生物量估测研究进展

Research Progress in Forest Aboveground Biomass Estimation Based on Synthetic Aperture Radar Remote Sensing

森林地上生物量(AGB)在评估全球碳储量和碳汇等方面发挥着重要作用。传统的森林AGB测量可以直接获取树高、胸径等数据,但调查难度大、成本高,很难开展大范围的森林调查。合成孔径雷达(SAR)因具备全天时、穿透性强等特点,是开展区域和全球范围森林AGB估测的有效技术手段,目前已经形成了基于后向散射系数、极化SAR、干涉SAR、极化干涉SAR、层析SAR等森林AGB估测技术。然而,由于信号饱和、估测方法的局限,使用SAR数据估计森林AGB还存在较多问题。文中通过查阅国内外相关文献,分析了基于SAR技术进行森林AGB估测的研究方法、研究进展和存在的问题,并对森林AGB估测技术的发展趋势进行展望。

Forest Forest aboveground biomass(AGB)plays an important role in assessing global carbon stocks and sinks.Traditional forest AGB measurement can directly obtain the data such as tree height and DBH,but it is difficult to operate and costly,which makes it difficult to be used in large-scale forest inventory.Synthetic Aperture Radar(SAR)is an effective technology to estimate forest AGB at the regional and global scale due to its all-weather and strong penetration.At present,forest AGB estimation techniques based on backscatter coefficient,polarimetric SAR,interferometric SAR,polarimetric interferometric SAR,and tomography SAR have been formed.However,due to the limitations such as signal saturation and estimation methods,there are still many problems in estimating forest AGB using SAR data.This paper analyzes the research methods,research progress and existing problems of forest AGB estimation based on SAR technology through reviewing relevant literature at home and abroad,and discusses the development trend of forest AGB estimation technology.