森林地上生物量遥感估算方法

生物量是林业和生态应用研究的重要信息,森林生态系统地上生物量估算的遥感技术引起了国内外学者的广泛关注.总结与探讨不同数据源与估算方法能够为森林地上生物量的估算提供指导.本文首先总结并探讨单传感器遥感数据,包括光学遥感、合成孔径雷达与激光雷达数据在森林地上生物量估算中的应用,以及协同使用多源遥感数据估算森林地上生物量的优...

Estimation of forest aboveground biomass by remote sensing

Biomass is an important information in the study of forestry and ecological applications, and remote sensing technology of aboveground biomass estimation in forest ecosystems has attracted intensive attention of the international scholars. Reviewing and discussing different data sources and estimation methods can provide guidance for estimation of forest aboveground biomass. This study discussed the application of single sensor remote sensing data, including optical remote sensing, synthetic aperture radar and LiDAR data in forest biomass estimation, and the advantages of using multi-sources remote sensing data to estimate forest biomass. Then we discussed the traditional analysis methods and machine learning methods (decision tree regression, k-nearest neighbor, artificial neural network, support vector regression, maximum entropy) used for estimating forest biomass. Multi-source remote sensing data integration can combine the advantages of different data and provide rich characteristic information for forest aboveground biomass estimation. Combining machine learning methods is a development trend to improve the accuracy of forest aboveground biomass estimation.