Individual tree crown detection and delineation across a woodland using leaf-on and leaf-off imagery from a UAV consumer-grade camera
Author:
Affiliation:
1. Newcastle University, Geospatial Engineering Group, Newcastle upon Tyne
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Reference45 articles.
1. Automatic citrus tree extraction from UAV images and digital surface models using circular Hough transform
2. Extraction of Information about Individual Trees from High-Spatial-Resolution UAV-Acquired Images of an Orchard
3. Automatic detection of harvested trees and determination of forest growth using airborne laser scanning
4. Investigating multiple data sources for tree species classification in temperate forest and use for single tree delineation
5. Individual tree crown delineation and tree species classification with hyperspectral and LiDAR data
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1. Influence of temperate forest autumn leaf phenology on segmentation of tree species from UAV imagery using deep learning;Remote Sensing of Environment;2024-09
2. UAV leaf-on, leaf-off and ALS-aided tree height: A case study on the trees in the vicinity of roads;Urban Forestry & Urban Greening;2024-03
3. Evaluating the feasibility and potential of unmanned aerial vehicles to monitor implementation of forestry best management practices in the coastal plain of the southeastern United States;Forest Ecology and Management;2023-10
4. Unveiling the Potential of Drone-Borne Optical Imagery in Forest Ecology: A Study on the Recognition and Mapping of Two Evergreen Coniferous Species;Remote Sensing;2023-09-07
5. Tree Crown Detection and Delineation in a Temperate Deciduous Forest from UAV RGB Imagery Using Deep Learning Approaches: Effects of Spatial Resolution and Species Characteristics;Remote Sensing;2023-01-29
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