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