David Coomes
Orcid: 0000-0002-8261-2582Affiliations:
- University of Cambridge, UK
According to our database1,
David Coomes
authored at least 28 papers
between 2013 and 2023.
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Bibliography
2023
Benchmarking airborne laser scanning tree segmentation algorithms in broadleaf forests shows high accuracy only for canopy trees.
Int. J. Appl. Earth Obs. Geoinformation, September, 2023
Reconstructing 34 Years of Fire History in the Wet, Subtropical Vegetation of Hong Kong Using Landsat.
Remote. Sens., March, 2023
Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images.
Remote. Sens., February, 2023
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
2022
Using repeat airborne LiDAR to map the growth of individual oil palms in Malaysian Borneo during the 2015-16 El Niño.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Unsupervised Detection of ASH Dieback Disease (Hymenoscyphus Fraxineus) Using Diffusion-Based Hyperspectral Image Clustering.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Multisensor Data Fusion for Improved Segmentation of Individual Tree Crowns in Dense Tropical Forests.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
2020
IEEE Trans. Geosci. Remote. Sens., 2020
Global Airborne Laser Scanning Data Providers Database (GlobALS) - A New Tool for Monitoring Ecosystems and Biodiversity.
Remote. Sens., 2020
SLIC-UAV: A Method for monitoring recovery in tropical restoration projects through identification of signature species using UAVs.
CoRR, 2020
2019
Accurate Measurement of Tropical Forest Canopy Heights and Aboveground Carbon Using Structure From Motion.
Remote. Sens., 2019
A Comparative Assessment of the Performance of Individual Tree Crowns Delineation Algorithms from ALS Data in Tropical Forests.
Remote. Sens., 2019
Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC).
CoRR, 2019
Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Remote. Sens., 2018
2017
An Alternative Approach to Using LiDAR Remote Sensing Data to Predict Stem Diameter Distributions across a Temperate Forest Landscape.
Remote. Sens., 2017
Mapping Aboveground Carbon in Oil Palm Plantations Using LiDAR: A Comparison of Tree-Centric versus Area-Based Approaches.
Remote. Sens., 2017
CoRR, 2017
A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery.
CoRR, 2017
2016
Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Aboveground biomass estimation in tropical forests at single tree level with ALS data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
Nonparametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Wooded Landscapes.
IEEE Trans. Geosci. Remote. Sens., 2015
A Comparison of Novel Optical Remote Sensing-Based Technologies for Forest-Cover/Change Monitoring.
Remote. Sens., 2015
Airborne LiDAR Detects Selectively Logged Tropical Forest Even in an Advanced Stage of Recovery.
Remote. Sens., 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
Non-parametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Forests.
CoRR, 2014
2013
Optical and SAR sensor synergies for forest and land cover mapping in a tropical site in West Africa.
Int. J. Appl. Earth Obs. Geoinformation, 2013