Dr. Ni-Bin Chang is currently a professor with the Department of Civil, Environmental, and Construction Engineering at the University of Central Florida. He is also a senior member of the Institute of Electronics and Electrical Engineers (IEEE) and is affiliated with the IEEE Geoscience and Remote Sensing Society and the IEEE Computational Intelligence Society. He has earned the selectively awarded titles of Certificate of Leadership in Energy and Environment Design (LEED) in 2004, Board Certified Environmental Engineer (BCEE) in 2006, Diplomat of Water Resources Engineer (DWRE) in 2007, elected Member of the European Academy of Sciences (EAS) in 2008, elected Fellow of the American Society of Civil Engineers (ASCE) in 2009, and elected Fellow of the American Association for the Advancement of Science (AAAS) in 2011. He was one of the founders of International Society of Environmental Information Management and the former editor-in-chief of the Journal of Environmental Informatics. He is currently an editor, associate editor, or editorial board member of more than 30 international journals.

"... will help emerging environmental scientists as well as graduate and undergraduate students working on their research studies in formulating their research methods to incorporate appropriate RS data and techniques." -Photogrammetric Engineering & Remote Sensing, July 2013

• Linkages between Environmental Remote Sensing and Systems Analysis. Water Quality Monitoring, Watershed Development, and Coastal Management: Using Remote Sensing-Based Carlson Index Mapping to Assess Hurricane and Drought Effects on Lake Trophic State. Mapping Potential Annual Pollutant Loads in River Basins Using Remotely Sensed Imagery. Identifying the Impact of Oil Spills with the Remote Sensing- Based Oil Spread Index Method. Remote Sensing to Predict Estuarine Water Salinity. Multitemporal Remote Sensing of Coastal Sediment Dynamics. Estimating Total Phosphorus Impacts in a Coastal Bay with Remote Sensing Images and In Situ Measurements. Monitoring and Mapping of Flood Plumes in the Great Barrier Reef Based on In Situ and Remote Sensing Observations. Sensing and Monitoring for Land Use Patterns, Reclamation, and Degradation: Satellite Remote Sensing for Landslide Prediction. Analysis of Impervious Surface and Suburban Form Using High Spatial Resolution Satellite Imagery. Use of InSAR for Monitoring Land Subsidence in Mashhad Subbasin, Iran. Remote Sensing Assessment of Coastal Land Reclamation Impact in Dalian, China, Using High-Resolution SPOT Images and Support Vector Machine. Mapping Impervious Surface Distribution with the Integration of Landsat TM and QuickBird Images in a Complex Urban- Rural Frontier in Brazil. Air Quality Monitoring, Land Use/Land Cover Changes, and Environmental Health Concern: Using Lidar to Characterize Particles from Point and Diffuse Sources in an Agricultural Field. Measurement of Aerosol Properties over Urban Environments from Satellite Remote Sensing. DOAS Technique: Emission Measurements in Urban and Industrial Regions. Interactions between Ultraviolet-B and Total Ozone Concentrations in the Continental United States. Remote Sensing of Asian Dust Storms. Forest Fire and Air Quality Monitoring from Space. Satellite Remote Sensing of Global Air Quality.