Haitao Wang

Haitao Wang is a Research Associate at CGIT. He joined the Center in 2014. His specialties include 2D / 3D web mapping, geo-visualization, land use and land cover change, and vegetation dynamics. He has dual efficiencies in both geospatial analysis / programming and environmental application. At CGIT, he is responsible for webGIS application design and development, geospatial data processing and imagery analysis (multispectral, LiDAR, etc.), and data visualization. He assists research projects such as Native American Broadband GIS, USAID Global Agriclimate, National Extension Web-mapping Tool (aka. NEWT), Virginia Statewide Vineyards Assessment, Virginia LiDAR Data Inventory, and led the  Central Virginia PDC Hazard Mitigation Plan 2020 Update and development of the Virginia Wifi Hotspots COVID map.

Haitao obtained three master's degrees in Ecology, Geography (on Geospatial and Environmental Analysis track), and Computer Science. He holds educational / professional certificates in Geospatial Information Technology, Human-Computer Interaction (HCI), and GIS Professional (GISP)." Prior to his position at CGIT, Haitao worked at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences where he supported various governmental and industrial scientific research projects with data analysis and information technology. His past research experiences include vegetation dynamics and desertification in semi-arid region, multi-temporal vegetation cover mapping for desert city, urban imperviousness estimation, tropical deforestation, forest geovisualization with Web3D. The methodologies involved include fieldwork, geostatistics, object-oriented image analysis, subpixel impervious surface modeling, image classification generalization.