Ph.D., 2016, Florida Atlantic University
Remote Sensing and GIS; water quality modeling; hyperspectral remote sensing; object-based image analysis; environmental and vegetation; digital image analysis; coastal changes; unmanned aerial vehicles
With a background in marine biology, geography, and spatial analysis I have spent my career exploring the wonders our planet through remote sensing. Remote sensing is the science of collecting data from a distance including airplanes or satellites, in addition to other equipment that does not touch the subject being analyzed (ex: LiDAR or spectroradiometers). This remote accessibility is especially important in areas of cultural, economic, or physical sensitivity such as an archeological site or an unstable coastal zone.
My research applies and integrates technology, geographic information systems (GIS), and remote sensing into environmental analysis for coastal mapping, data fusion, and model comparisons using a variety of software programs such as ArcGIS, ENVI, Erdas Imagine, eCognition, Fusion, and SPSS, and hardware including the use of unmanned aerial vehicles (UAVs). I have published and presented at conferences executing the applications of GIS and remote sensing technologies including: implementing object based image analysis (OBIA), building hyperspectral libraries, analyzing coastal sand reflectance, applying LiDAR data for archeological applications, relating climate change to sea turtle nesting, as well as for water quality modeling and benthic habitat mapping.
Zhang, Caiyun, Donna Selch, and Hannah Cooper. 2015. A Framework to Combine Three Remotely Sensed Data for Vegetation Mapping in the Central Florida Everglades. Wetlands, 36:201-213.
Rochelo, Mark, Christian Davenport, and Donna Selch. 2015. Revealing Pre-Historic Native American Belle Glade Earthworks in the Northern Everglades utilizing Airborne LiDAR. Journal of Archeological Science: Reports, 2: 624-643.
Cooper, Hannah M., Caiyun Zhang, Donna Selch. 2015. Incorporating uncertainty of groundwater modeling in sea-level rise assessment: A case study in South Florida. Climate Change. doi: 10.1007/s10584-015- 1334-1.
Zhang, Caiyun, Hannah Cooper, Donna Selch, Xuelian Meng, Fang Qiu, Soe W. Myint, Charles Roberts, and Zhixiao Xie. 2014. Mapping Urban Land Covers Using Object-based Multiple Endmember Spectral Mixture Analysis. Remote Sensing Letters, 5(6):521-529.
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 and Remote Sensing, 50 (5), 562-573.