Environmental Remote Sensing and Systems Analysis (eBook, PDF)

Redaktion: Chang, Ni-Bin

• Format: PDF

Produktbeschreibung

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

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 520
• Erscheinungstermin: 23. März 2012
• Englisch
• ISBN-13: 9781439877449
• Artikelnr.: 38302359

Autorenporträt

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.

Inhaltsangabe

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.