Assessment of Potential Forest Biomass Resource on the Basis of Data of Air Laser Scanning

被引:1
|
作者
Kuzyakina, Marina [1 ]
Gura, Dmitry [2 ]
Sekisov, Aleksandr [2 ]
Granik, Nikolay [3 ]
机构
[1] Kuban State Univ, Stavropolskaya St 149, Krasnodar 350040, Russia
[2] Kuban State Agr Univ, Kalinina St 13, Krasnodar 350044, Russia
[3] Aerogeomatika, Frunze St 22-1, Krasnodar 350063, Russia
关键词
Air laser scanning (ALS); LIDAR; Decryption; Forest cover; Forest vegetation; CANOPY DENSITY MODEL; LIDAR; SIZE; ALS;
D O I
10.1007/978-3-030-19868-8_41
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Exact determination of quantity and quality of a forest cover is important for management of natural resources, assessment of a potential forest biomass resource, the ecological analysis and hydrological modeling. The quantity of the developed methods and their implementation is very broad. In this paper, the comparative analysis of the following methods of the automated determination of quantity on the basis of data of air laser scanning is carried out: Microstation (Terrasolid) method; the method using Global mapper + LIDAR module; the method based on combination of data of LIDAR and the raster image; the method using the MATLAB application program package; the methods realized in GIS ArcGIS, and the author's method on the basis of raster of density (Kernel Density) with the use of statistical calculations is also offered.
引用
收藏
页码:403 / 416
页数:14
相关论文
共 50 条
  • [21] Aerolaserskaneerimise kasutamine metsakorralduse alusena Airborne laser scanning as a basis for forest mensuration
    Arumäe T.
    Lang M.
    Forestry Studies, 2020, 73 (01) : 136 - 144
  • [22] Monitoring boreal forest biomass and carbon storage change by integrating airborne laser scanning, biometry and eddy covariance data
    Hopkinson, C.
    Chasmer, L.
    Barr, A. G.
    Kljun, N.
    Black, T. A.
    McCaughey, J. H.
    REMOTE SENSING OF ENVIRONMENT, 2016, 181 : 82 - 95
  • [23] Data acquisition considerations for Terrestrial Laser Scanning of forest plots
    Wilkes, Phil
    Lau, Alvaro
    Disney, Mathias
    Calders, Kim
    Burt, Andrew
    de Tanago, Jose Gonzalez
    Bartholomeus, Harm
    Brede, Benjamin
    Herold, Martin
    REMOTE SENSING OF ENVIRONMENT, 2017, 196 : 140 - 153
  • [24] Potential forest biomass resource as feedstock for bioenergy and its economic value in Indonesia
    Simangunsong, B.C.H.
    Sitanggang, V.J.
    Manurung, E.G.T.
    Rahmadi, A.
    Moore, G.A.
    Aye, L.
    Tambunan, A.H.
    Forest Policy and Economics, 2017, 81 : 10 - 17
  • [25] Potential forest biomass resource as feedstock for bioenergy and its economic value in Indonesia
    Simangunsong, B. C. H.
    Sitanggang, V. J.
    Manurung, E. G. T.
    Rahmadi, A.
    Moore, G. A.
    Aye, L.
    Tambunan, A. H.
    FOREST POLICY AND ECONOMICS, 2017, 81 : 10 - 17
  • [26] Operational assessment of aboveground tree volume and biomass by terrestrial laser scanning
    Olschofsky, Konstantin
    Mues, Volker
    Koehl, Michael
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2016, 127 : 699 - 707
  • [27] Accuracy assessment of the nationwide forest attribute map of Norway constructed by using airborne laser scanning data and field data from the national forest inventory
    Garrido, Ana de Lera
    Gobakken, Terje
    Hauglin, Marius
    Naesset, Erik
    Bollandsas, Ole Martin
    SCANDINAVIAN JOURNAL OF FOREST RESEARCH, 2023, 38 (1-2) : 9 - 22
  • [28] Forest Aboveground Biomass Prediction by Integrating Terrestrial Laser Scanning Data, Landsat 8 OLI-Derived Forest Canopy Density and Spectral Indices
    Bhandari, Shes Kanta
    Nandy, Subrata
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2024, 52 (04) : 813 - 824
  • [29] Forest Aboveground Biomass Prediction by Integrating Terrestrial Laser Scanning Data, Landsat 8 OLI-Derived Forest Canopy Density and Spectral Indices
    Shes Kanta Bhandari
    Subrata Nandy
    Journal of the Indian Society of Remote Sensing, 2024, 52 : 813 - 824
  • [30] Exploring the Potential of Mobile Laser Scanning to Quantify Forest Structural Complexity
    Neudam, Liane
    Annighoefer, Peter
    Seidel, Dominik
    FRONTIERS IN REMOTE SENSING, 2022, 3