多源遥感数据在森林资源监测上的应用现状与发展趋势

Application Status and Development Trend of Multi-source Remote Sensing Data in Forest Resource Monitoring

文章对多源遥感在森林资源监测的应用现状及发展趋势进行阐述,相比传统森林资源监测投入大量人力开展外业调查,卫星遥感和无人机遥感在森林资源监测中具有明显优势。在基于多源遥感数据开展的森林资源监测研究中,笔者重点对比5种多源遥感在森林资源监测中的应用,包括森林病虫害监测、林分树高测定、森林冠层结构测定、树种组成及森林分类、森林生物量测定。认为资源卫星、微波遥感、成像光谱技术及三维遥感中的森林资源监测新技术、新方法,如深度学习智能分类、多源遥感融合技术将成为未来多源遥感森林资源监测新手段,应用差分GPS、三维遥感及高光谱结合数学计算机技术,可以提高不同层级的森林资源估测精度;无人机遥感的自动化、信息化将是无人机遥感应用于森林资源监测中的发展趋势;此外,长时间续航能力、搭载多类型传感器将进一步提高无人机遥感对森林资源的精准监测。

In this paper,the application status and development trend of multi-source remote sensing in forest resource monitoring are described.Compared with traditional forest resource monitoring,which involves a large amount of manpower to carry out field investigation,satellite remote sensing and UAV remote sensing have obvious advantages in forest resource monitoring.In the forest resource monitoring research based on multisource remote sensing data,this paper focuses on the comparison of the application of five kinds of multisource remote sensing on forest resource monitoring,including:forest disease and insect monitoring,stand height measurement,forest canopy structure measurement,tree species composition and forest classification,and forest biomass measurement.Resource satellite,microwave remote sensing,imaging spectroscopy and new technologies and methods of forest resource monitoring in three-dimensional remote sensing,such as deep learning intelligent classification and multi-source remote sensing fusion technology,will become new means for multi-source remote sensing forest resource monitoring in the future.The application of differential GPS,can improve the accuracy of different levels of forest resource estimation.The automation and informatization of UAV remote sensing will be the development trend of UAV remote sensing application in forest resource monitoring.In addition,the long endurance capability and multiple types of sensors will further improve the accurate monitoring of forest resources by UAV remote sensing.