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作 者:邓磊[1] 毛智慧 DENG Lei;MAO Zhihui(College of Resource Environment and Tourism,Capital Normal University,Beijing 100048,China)
机构地区:[1]首都师范大学资源环境与旅游学院,北京100048
出 处:《地理空间信息》2024年第5期1-13,共13页Geospatial Information
基 金:北京市教育委员会科学研究计划资助项目(KZ202210028045)。
摘 要:聚焦于轻小型遥感器技术的发展,综述了无人机遥感技术在森林资源监测、健康评估和灾害管理等林业领域的应用进展。首先介绍了搭载于无人机的可见光、多光谱、高光谱、热红外和激光雷达等遥感器技术,阐述了其主要特性、显著优势和适用场景;然后深入探讨了这些遥感技术在林业管理中的具体应用,展示了其在提升森林监测效率和精确度以及在灾害响应和生态保护方面的重要作用;最后讨论了面临的主要挑战和发展需求,包括无人机平台的优化、遥感设备的改进、数据处理与信息提取技术的提升,强调了跨学科研究成果的综合应用对于推动遥感技术革新及其在林业中应用拓展的重要性;旨在为林业管理与研究人员提供一种全面的视角,审视无人机遥感技术的现状与未来趋势,进而支持森林资源的可持续管理与保护。In this paper,we focused on the advancements in lightweight and compact imagers for UAV-based remote sensing(RS),and compre-hensively reviewed its application progress in forestry,such as forest resource monitoring,health assessment and disaster management.Firstly,we introduced several commonly-used imagers for UAVs,including visible-light,multi-spectral,hyper-spectral,thermal infrared,and LiDAR,and elucidated their main characteristics,significant advantages and suitable scenarios.Subsequently,we delved into the specific applications of UAV-based RS technologies in forestry management,and demonstrated their crucial role in enhancing forest monitoring efficiency and accuracy,as well as in disaster response and ecological protection.Finally,we discussed the main challenges and development needs,including optimization of UAV platforms,R&D of UAV-specific imagers,enhancement of data processing and information extraction technologies,and emphasized the importance of integrating interdisciplinary research findings to drive the innovation of RS technologies and their expanded application in forestry.This paper aims to provide a comprehensive perspective for forestry management and researchers to examine the current state and future trends of UAV-based RS technologies,thereby supporting the sustainable management and protection of forest resource.
分 类 号:P237[天文地球—摄影测量与遥感]
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