Gang Chen

Orcid: 0000-0002-7469-3650

Affiliations:
  • 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 15 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

Urban Building Type Mapping Using Geospatial Data: A Case Study of Beijing, China.
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
Geospatial Technologies to Improve Urban Energy Efficiency.
Remote. Sens., 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


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