【摘要】 森林资源是自然资源的重要组成部分，对森林资源展开调查有助于森林资源的管理、规划和生态环境建设。从数据源和数据处理方法两个方面对森林资源遥感调查研究现状及发展趋势进行阐述，得到卫星遥感影像和基于无人机的光学遥感影像适用于森林资源的整体调查，进行蓄积量、森林生物量和生长状态等分析。基于无人机的激光雷达数据适用于单木信息的提取和分析，通过深度学习的方法将其与光谱数据相结合，在树种分类方面表现出强适用性。SAR数据通常与光谱数据结合构建回归模型，估算森林蓄积量和调查森林生物量。未来森林资源遥感调查方向集中在获取大尺度数据源的同时如何维持图像精度的稳定性，在处理图像时同时实现快速和准确。更多还原

【Abstract】 Forest resource plays an important part of natural resources. The investigation of forest resources is helpful to the management, planning and ecological environment construction of forest resources. In this paper, the research status and development trend of forest resources inventory based on remote sensing are described from two parts of the data—sources and methods. Optical remote sensing images, based on satellite and UAV, are suitable for the overall forest survey, for analysis on the information of the volume, biomass and growth statement. UAV lidar can be used in the extraction and analysis of individual tree. Using the deep learning method, the combination of lidar data and spectral data shows strong applicability in tree species classification. Combined with spectral data, SAR data are usually used to build regression models for forest volume estimate and forest biomass investigation. The research shows that the future direction of forest resources inventory based remote sensing focuses on how to maintain the stability of image accuracy while obtaining large-scale data sources, and how to improve the speed while addressing the forest data at the same time.更多还原