Ph.D. in Geospatial Information Sciences (University of Texas at Dallas) 2010
Ph.D. in Ocean Remote Sensing (Ocean University of China) 2007
MS in Marine Geology (Ocean University of China) 2003
BS in Marine Geology (Ocean University of China) 1998
Hyperspectral Remote Sensing
Ocean Remote Sensing
GIS 6127C: Hyperspectral Remote Sensing
GIS 6032C: LiDAR Remote Sensing
GIS 4021C/GEO 6938: Photogrammetry and Aerial Photography Interpretation
GIS 4037C/GIS 5033C: Digital Image Analysis
Zhang, C., 2016.
Multiscale Quantification of Urban Composition from EO-1/Hyperion Data Using Object-based Spectral Unmixing
. International Journal of Applied Earth Observation and Geoinformation, 47, 153-162.
Zhang, C., D. Selch, and H. Cooper, 2016.
A Framework to Combine Three Remotely Sensed Data Sources for Vegetation Mapping in the Central Florida Everglades
. Wetlands, 36, 201-213.
Cooper, H., C. Zhang, and D. Selch, 2015. Incorporating Uncertainty of Groundwater Modeling in Sea-level Rise Assessment: A Case Study in South Florida. Climatic Change, 129, 281-294.
Zhang, C., Y. Zhou, and F. Qiu, 2015. Individual Tree Segmentation from LiDAR Point Clouds for Urban Forest Inventory. Remote Sensing, 7, 7892-7913. (Open access:
Zhang, C., 2015.
Applying Data Fusion Techniques for Benthic Habitat Mapping and Monitoring in a Coral Reef Ecosystem
. ISPRS Journal of Photogrammetry and Remote Sensing, 104, 213-223.
Zhang, C., 2014.
Combining Hyperspectral and LiDAR Data for Vegetation Mapping in the Florida Everglades
. Photogrammetric Engineering & Remote Sensing, 80, 733-743. (This paper won the 2015 John I. Davidson President’s Award from ASPRS)
Zhang, C., H. Cooper, D. Selch, et al., 2014.
Mapping Urban Land Cover Types Using Object-based Multiple Endmember Spectral Mixture Analysis
. Remote Sensing Letters, 5, 521-529.
Zhang, C., and Z. Xie, 2014.
Data Fusion and Classifier Ensemble Techniques for Vegetation Mapping in the Coastal Everglades
. Geocarto International, 29, 228-243.
Zhang, C., D. Selch, Z. Xie, C. Roberts, H. Cooper, and G. Chen, 2013.
Object-based Benthic Habitat Mapping in the Florida Keys from Hyperspectral Imagery
. Estuarine, Coastal and Shelf Science, 134, 88-97.
Zhang, C., Z. Xie, and D. Selch, 2013.
Fusing LiDAR and Digital Aerial Photography for Object-based Forest Mapping in the Florida Everglades
. GIScience & Remote Sensing, 50 (5), 562-573.
Zhang, C., and Z. Xie, 2013.
Object-based Vegetation Mapping in the Kissimmee River Watershed Using HyMap Data and Machine Learning Techniques
Wetlands, 33 (2), 233-244.
Xie, Z., C. Zhang, and L. Berry, 2013.
Geographically Weighted Modeling of Surface Salinity in Florida Bay Using Landsat TM Data
. Remote Sensing Letters, 4(1), 76-84.
Zhang, C., and Z. Xie, 2012.
Combining Object-based Texture Measures with a Neural Network for Vegetation Mapping in the Everglades from Hyperspectral Imagery
. Remote Sensing of Environment, 124, 310-320.
Zhang, C., and F. Qiu, 2012a.
Mapping Individual Tree Species in an Urban Forest Using Airborne LiDAR Data and Hyperspectral Imagery
. Photogrammetric Engineering & Remote Sensing, 78 (10), 1079-1087. (This paper won the Early Career Paper Award of Remote Sensing Specialty Group (RSSG) of AAG, and the First Place of the 2013 ERDAS Award for Best Scientific Paper in Remote Sensing from ASPRS)
Zhang, C., and F. Qiu, 2012b.
Hyperspectral Image Classification Using an Unsupervised Neuro-fuzzy System
. Journal of Applied Remote Sensing, 6, 063515,
. (This paper won the First Place of Student Honors Paper Competition, Remote Sensing Specialty Group (RSSG) of AAG 2010)
., Z. Xie, C. Roberts, L. Berry, and G. Chen, 2012.
Salinity Assessment in Northeast Florida Bay Using Landsat TM Data
Southeastern Geographer, 52 (3), 267-281.
Qiu, F., C. Zhang
, and Y. Zhou, 2012.
The Development of an Areal Interpolation ArcGIS Extension and a Comparative Study
. GIScience & Remote Sensing, 49(5), 644-663.
Zhang, C., and F. Qiu, 2011.
A Point-based Intelligent Approach to Areal Interpolation
. The Professional Geographer, 63, 262-276.