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Full-Text Articles in Forest Sciences
Estimation Of Dbh Using Tree Variables Derived From Aerial Lidar For Ford Forest, Baraga, Michigan, Tugay Demiraslan
Estimation Of Dbh Using Tree Variables Derived From Aerial Lidar For Ford Forest, Baraga, Michigan, Tugay Demiraslan
Dissertations, Master's Theses and Master's Reports
This study implemented LiDAR (Light Detection and Ranging) remote sensing technology and applied ITD (Individual Tree Detection) methods as an approach to estimate some essential tree variables, such as DBH (Diameter at Breast Height), height, volume, and biomass for Ford Forest Research Center in Upper Peninsula, Michigan. There were 34 deciduous (1 bigtooth aspen, 9 red oaks, 20 sugar maples, 2 white birches, and 2 yellow birches) and 17 coniferous (2 eastern hemlocks, 11 red pines, and 4 white pines) subject tree species. There were two different available LiDAR datasets from the same area that were collected in 2011 and …
Models Of Forest Inventory For Istanbul Forest Using Airborne Lidar And Spaceborne Imagery, Mustafa Kagan Ozkal
Models Of Forest Inventory For Istanbul Forest Using Airborne Lidar And Spaceborne Imagery, Mustafa Kagan Ozkal
Dissertations, Master's Theses and Master's Reports
Active remote sensing technology (LiDAR) and passive remote sensing technology (Pleiades and Göktürk-2 satellites) were used to find a meaningful relationship between ground data and remote sensing instruments for Istanbul Forest, Turkey. Two dominant species in the field, oak (deciduous trees) and maritime pine (coniferous trees), were researched. There were 86 plots total, 41 for maritime pine and 45 for oak. Three diameter at breast height (DBH) thresholds were studied. Trees of any DBH (DBH≥0.1 cm), trees ≥8 cm DBH thresholds and, trees ≥10 cm DBH thresholds. Both satellite image metrics were derived from Grey Level Co-occurrence Measures (GLCM). All …