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Hindi Journal of Biodiversity Management & ForestryISSN: 2327-4417
https://sekillinickyazma.com.tr/
Hiromi Shiota Author
Subjects of specialization
Affiliation
Biodiversity Conservation, Biodiversity Management, Forest Biodiversity & Conservation, Forest Ecology & Ecosystem Services, Sustainable Forest Management
Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, Shimogamo hangi-cho, Sakyo-ku, Kyoto 606-8522, Japan
Biography
Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, Shimogamo hangi-cho, Sakyo-ku, Kyoto 606-8522, Japan. He has published more than 30 articles, In the field of iodiversity Conservation, Biodiversity Management, Forest Biodiversity & Conservation, Abiotic Stress, Plant Molecular Biology.
Publications
Research Article Open Access
The Effects of Cell Size and Filtering Range on Automatically Extracted Tree Number and Average Tree Height Using Light Detection and Ranging Data in Fusion/LDV
Author(s): Hiromi Shiota, Kazuhiro Tanaka and Keiko Nagashima
Objective: The use of airborne light detection and ranging (LiDAR) data is common in forest structure analyses. This study investigated the differences in tree number extraction and tree height measurements obtained using LiDAR data, employing different parameters (cell size, filter type, and filter range) and local maxima (LM) method. Tree numbers were extracted and parameter combinations resulting in values closest to the observed data were identified.
Method: For the two study sites, a Japanese cedar forest and a Japanese cypress forest, digital elevation model has a resolution of 1 m, and Digital Canopy Height Model (DCHM) calculated the difference using the resolution with varying parameters. Different combinations of cell size, filter type, and... view more»
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