Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities

编号 030023801

推送时间 20200511

研究领域 森林经理 

年份 2020 

类型 期刊 

语种 英语

标题 Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities

来源期刊 REMOTE SENSING

期 第238期

发表时间 20200324

关键词 sensing payloads;  forest?inventory;  fire monitoring;  post-fire monitoring;  tree species classification;  forest?health monitoring;  photogrammetry;  LiDAR; 

摘要 Currently, climate change poses a global threat, which may compromise the sustainability of agriculture,?forestry?and other land surface systems. In a changing world scenario, the economic importance of Remote Sensing (RS) to monitor forests and agricultural resources is imperative to the development of agroforestry systems. Traditional RS technologies encompass satellite and manned aircraft platforms. These platforms are continuously improving in terms of spatial, spectral, and temporal resolutions. The high spatial and temporal resolutions, flexibility and lower operational costs make Unmanned Aerial Vehicles (UAVs) a good alternative to traditional RS platforms. In the management process of forests resources, UAVs are one of the most suitable options to consider, mainly due to: (1) low operational costs and high-intensity data collection; (2) its capacity to host a wide range of sensors that could be adapted to be task-oriented; (3) its ability to plan data acquisition campaigns, avoiding inadequate weather conditions and providing data availability on-demand; and (4) the possibility to be used in real-time operations. This review aims to present the most significant UAV applications in?forestry, identifying the appropriate sensors to be used in each situation as well as the data processing techniques commonly implemented.

服务人员 付贺龙

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