Using LiDAR Technology in Forestry Activities. Akay, A. E., Oğuz, H., Karas, I. R., & Aruga, K. 151(1-4):117–125.
Using LiDAR Technology in Forestry Activities [link]Paper  doi  abstract   bibtex   
Managing natural resources in wide-scale areas can be highly time and resource consuming task which requires significant amount of data collection in the field and reduction of the data in the office to provide the necessary information. High performance LiDAR remote sensing technology has recently become an effective tool for use in applications of natural resources. In the field of forestry, the LiDAR measurements of the forested areas can provide high-quality data on three-dimensional characterizations of forest structures. Besides, LiDAR data can be used to provide very high quality and accurate Digital Elevation Model (DEM) for the forested areas. This study presents the progress and opportunities of using LiDAR remote sensing technology in various forestry applications. The results indicate that LiDAR based forest structure data and high-resolution DEMs can be used in wide-scale forestry activities such as stand characterizations, forest inventory and management, fire behaviour modeling, and forest operations. [Excerpt: Conclusions] LiDAR technology has shown promise for collecting surface information more rapidly than the existing data collection techniques in remote sensing. In this study, the capabilities of using LiDAR data in performing forestry applications were discussed by reviewing previously conducted studies. These forest applications included measuring forest structures, estimating forest inventory, managing forest fires, and planning forest operations. According to the results derived from these studies, accuracy of the forest features measured based on LiDAR data were generally in a satisfactory level, comparing to the estimates of ground-based surveys. This study indicated that there is a great potential for efficiently performing many forestry activities using LiDAR remote sensing technology. Therefore, forest activities can be done quickly and less expensive for wide-scale areas. It was also indicated that the performance of the LiDAR based method is directly affected by the resolution of the data. However, LiDAR is one of the fastest growing technologies in the field and it may provide even higher resolution and more accurate data, as GIS technologies advance. There are potential emerging areas where advanced LiDAR based GIS applications can be successfully implemented such as 3D landscape modeling, aquatic applications, and environmental monitoring. Thus, virtual reality GIS can be used to generate 3D modeling of forests by using high-resolution DEMs based on LiDAR data. The airborne LiDAR bathymetry, one of the most recent advancements in LiDAR technology, can be implemented for shallow water applications in the field of forestry.
@article{akayUsingLiDARTechnology2009,
  title = {Using {{LiDAR}} Technology in Forestry Activities},
  author = {Akay, Abdullah E. and Oğuz, Hakan and Karas, Ismail R. and Aruga, Kazuhiro},
  date = {2009},
  journaltitle = {Environmental Monitoring and Assessment},
  volume = {151},
  pages = {117--125},
  issn = {1573-2959},
  doi = {10.1007/s10661-008-0254-1},
  url = {https://doi.org/10.1007/s10661-008-0254-1},
  abstract = {Managing natural resources in wide-scale areas can be highly time and resource consuming task which requires significant amount of data collection in the field and reduction of the data in the office to provide the necessary information. High performance LiDAR remote sensing technology has recently become an effective tool for use in applications of natural resources. In the field of forestry, the LiDAR measurements of the forested areas can provide high-quality data on three-dimensional characterizations of forest structures. Besides, LiDAR data can be used to provide very high quality and accurate Digital Elevation Model (DEM) for the forested areas. This study presents the progress and opportunities of using LiDAR remote sensing technology in various forestry applications. The results indicate that LiDAR based forest structure data and high-resolution DEMs can be used in wide-scale forestry activities such as stand characterizations, forest inventory and management, fire behaviour modeling, and forest operations.

[Excerpt: Conclusions] LiDAR technology has shown promise for collecting surface information more rapidly than the existing data collection techniques in remote sensing. In this study, the capabilities of using LiDAR data in performing forestry applications were discussed by reviewing previously conducted studies. These forest applications included measuring forest structures, estimating forest inventory, managing forest fires, and planning forest operations. According to the results derived from these studies, accuracy of the forest features measured based on LiDAR data were generally in a satisfactory level, comparing to the estimates of ground-based surveys. This study indicated that there is a great potential for efficiently performing many forestry activities using LiDAR remote sensing technology. Therefore, forest activities can be done quickly and less expensive for wide-scale areas. It was also indicated that the performance of the LiDAR based method is directly affected by the resolution of the data. However, LiDAR is one of the fastest growing technologies in the field and it may provide even higher resolution and more accurate data, as GIS technologies advance. There are potential emerging areas where advanced LiDAR based GIS applications can be successfully implemented such as 3D landscape modeling, aquatic applications, and environmental monitoring. Thus, virtual reality GIS can be used to generate 3D modeling of forests by using high-resolution DEMs based on LiDAR data. The airborne LiDAR bathymetry, one of the most recent advancements in LiDAR technology, can be implemented for shallow water applications in the field of forestry.},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-4239585,~to-add-doi-URL,data,elevation,forest-fires,forest-management,forest-resources,inventories,lidar,modelling,remote-sensing,wide-scale},
  number = {1-4}
}

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