Gang Chen
Orcid: 0000-0002-7469-3650Affiliations:
- The University of North Carolina at Charlotte, Department of Geography and Earth Sciences, NC, USA
- Canadian Forest Service (former)
- University of Calgary, Department of Geography, Canada (former)
According to our database1,
Gang Chen
authored at least 16 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on scopus.com
-
on orcid.org
-
on d-nb.info
On csauthors.net:
Bibliography
2024
Delving into the Potential of Deep Learning Algorithms for Point Cloud Segmentation at Organ Level in Plant Phenotyping.
Remote. Sens., September, 2024
Fine-Scale (10 m) Dynamics of Smallholder Farming through COVID-19 in Eastern Thailand.
Remote. Sens., March, 2024
2023
Quantification of Microtopography in Natural Ecosystems Using Close-Range Remote Sensing.
Remote. Sens., May, 2023
2020
Detecting Plant Invasion in Urban Parks with Aerial Image Time Series and Residual Neural Network.
Remote. Sens., 2020
Remote. Sens., 2020
2017
Impacts of Land Cover and Seasonal Variation on Maximum Air Temperature Estimation Using MODIS Imagery.
Remote. Sens., 2017
2016
When Big Data are Too Much: Effects of LiDAR Returns and Point Density on Estimation of Forest Biomass.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Spatial estimation of wind speed: a new integrative model using inverse distance weighting and power law.
Int. J. Digit. Earth, 2016
Multiscale object-based drought monitoring and comparison in rainfed and irrigated agriculture from Landsat 8 OLI imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2016
2015
Improving Pixel-Based Change Detection Accuracy Using an Object-Based Approach in Multitemporal SAR Flood Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Remote sensing and object-based techniques for mapping fine-scale industrial disturbances.
Int. J. Appl. Earth Obs. Geoinformation, 2015
Mapping burn severity in a disease-impacted forest landscape using Landsat and MASTER imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2015
2012
A GEOBIA framework to estimate forest parameters from lidar transects, Quickbird imagery and machine learning: A case study in Quebec, Canada.
Int. J. Appl. Earth Obs. Geoinformation, 2012
2011
A multiscale geographic object-based image analysis to estimate lidar-measured forest canopy height using Quickbird imagery.
Int. J. Geogr. Inf. Sci., 2011
2010
Estimation of forest height, biomass and volume using support vector regression and segmentation from lidar transects and Quickbird imagery.
Proceedings of the 18th International Conference on Geoinformatics: GIScience in Change, 2010