Open AccessComparative Analysis of New Forest Resources Survey Methods
Author(s) -
Fu Zou,
LI Ai-di,
Qiang Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1646/1/012007
Subject(s) - remote sensing , lidar , computer science , cloud computing , environmental science , geography , operating system
Traditional fine forest survey methods mainly rely on ground surveys and use remote sensing image to estimate, which has problems such as low efficiency, poor data objectivity, difficult to unifiy standard control, and low degree of automation. Based on the DEM, DSM, lidar point cloud, and tilt photography model from multiple sources and resolutions, by superimposing high-resolution remote sensing image and selecting eight representative evaluation indicators such as distribution interpretation, species legibility, vegetation penetration ability and parameter extractability, this paper analyzed the advantages and disadvantages of forest resource surveys under these methods and proposed a fast and high-precision method for fine forest resources sruvey. The results showed that the forest resource survey based on lidar technology can meet the needs of fine forest resources survey and can be used for fine forest resources survey.