Faculty affiliated with the Center for GIS have been
actively involved various research activities.
- 2008-2013 Everglades
Digital Elevation Model and Digital Water Surface Model
development through the USGS Everglades Depth Estimation Network
(EDEN) project: Dr. Xie has been a PI on a series of EDEN
projects funded by the USGS.
"The Everglades Depth Estimation Network (EDEN)
is an integrated network of real-time water-level monitoring,
ground-elevation modeling, and water-surface modeling that provides
scientists and managers with current (1991-present), on-line
water-depth information for the entire freshwater portion of the
Greater Everglades." (http://sofia.usgs.gov/eden/).
- 2011-2014 Research
and Technical Assistance for Assessing: Climate Change, Sea
Level Rise and Salinity Dynamics in the Greater Everglades,
funded by the USGS, PI, Len Berry, Co-PIs, Caiyun Zhang, Zhixiao
- 2010-2011 Feasibility
of modeling impacts of sea level rise on foraging habitat of the
Little Blue Heron in the Great White Heron National Wildlife
Refuge, Funded by US Fish and Wildlife Service, PI, Dale Gawlik,
Co-PI, Zhixiao Xie
- 2006-2007 Detect
invasive plants in Florida coastal areas using an image
retrieval approach and remote sensed data, Funded by the Florida
Fish and Wildlife Conservation Commission (FFWC), PI, Zhixiao
Xie, Co-PI, Charles Roberts
- 2005-2007 Location
Strategies for the Initial Hydrogen Refueling Infrastructure in
Florida, Funded by Florida Hydrogen Initiative, Lee Lines,
Michael Kuby, Ronald Schultz, Zhixiao
1) 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.
2) Zhang, C., 2014. Combining hyperspectral and LiDAR data for
vegetation mapping in the florida
Engineering & Remote Sensing, 80, 733-743.
3) 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,
4) Zhang, C., and Z. Xie, 2014. Data fusion and classifier ensemble
techniques for vegetation mapping in the coastal everglades.
Geocarto International, 29,
5) 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.
6) 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.
7) 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.
8) 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.
9) Xie, Z., L. Pearlstine, and D.E. Gawlik 2012.
Develop a finer resolution DEM to support hydrological modeling and
ecological study in the northern Everglades Freshwater Wetland. GIScience & Remote Sensing, 49(5)
10) 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.
11) Zhang, C., Xie, Z., C. Roberts, and L. Berry 2012.
Salinity assessment in the northeastern Florida Bay using Landsat TM
Data. Southeast Geographer,
12) Zhang, C.,
and F. Qiu, 2012a. Mapping individual tree species in an urban
forest using airborne LiDAR data and hyperspectral imagery.
& Remote Sensing, 78 (10), 1079-1087.
13) Zhang, C.,
and F. Qiu, 2012b. Hyperspectral image classification using an
unsupervised neuro-fuzzy system. Journal of Applied Remote Sensing, 6, 063515, doi:
14) Xie, Z., Z.Liu, J. W. Jones, A. L. Higer,
and P. A. Telis 2011. Landscape unit based digital elevation model
development for the freshwater wetlands within the Arthur C. Marshall
Loxahatchee National Wildlife Refuge, Southeastern Florida. Applied Geography,31 (1),
15) Johnson, B. and Z. Xie, 2011. Unsupervised image
segmentation evaluation and refinement using a multi-scale approach. ISPRS Journal of Photogrammetry
and Remote Sensing, 66, 473-483.
16) Zhang, C., and F. Qiu, 2011. A Point-based Intelligent Approach to Areal
Interpolation. The Professional Geographer, 63,
17) Kuby, M., L. Lines, R. Schultz, Z. Xie, J. Kim, and S.
Lim 2009. Optimization of hydrogen stations in florida
using the flow-refueling location model, International Journal of Hydrogen Energy,34, 6045-6064.
18) Xie, Z. and L. Bian
2009. Using spatial continuity and discontinuity information for
content based geographic image retrieval. Geocarto International,24,3-23.
19) Xie, Z., C. Roberts, and B. Johnson 2008. Object
based target search using remotely sensed data: a case study in
detecting invasive exotic Australian pine in South Florida. ISPRS Journal of Photogrammetry
and Remote Sensing, 63, 647-660.
20) Xie, Z. and J. Yan 2008. Kernel Density Estimation
Of Traffic Accidents In A Network Space. Computers, Environment and Urban
21) Xie, Z. 2006. A framework for interpolating
population surface at the residential housing unit level. GIScience & Remote Sensing, 43,
22) Xie, Z. 2004. A rotation and flip invariant
algorithm for representing spatial continuity information of
geographic images in content based image retrieval. Computers & Geosciences,
23) Bian, L. and Z. Xie 2004. A spatial dependence
approach to retrieving industrial complexes from digital images. Professional Geographer, 56