Environmental Remote Sensing and Systems Analysis
Published on 23. March 2012
520 pages
978-1-040-19920-6 (ISBN)
Description
Using a systems analysis approach and extensive case studies, Environmental Remote Sensing and Systems Analysis shows how remote sensing can be used to support environmental decision making. It presents a multidisciplinary framework and the latest remote sensing tools to understand environmental impacts, management complexity, and policy implicatio
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
File size
34,98 MB
ISBN-13
978-1-040-19920-6 (9781040199206)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Ni-Bin Chang
Environmental Remote Sensing and Systems Analysis
Book
10/2019
1st Edition
CRC Press
€81.70
Shipment within 15-20 days
Ni-Bin Chang
Environmental Remote Sensing and Systems Analysis
Book
03/2012
1st Edition
CRC Press
€227.50
Shipment within 15-20 days
Person
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.
Content
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.
