Environmental Remote Sensing and Systems Analysis

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 implications. Organized into three parts, this full-color book provides systematic coverage of water quality monitoring, air quality monitoring, and monitoring of land use patterns and degradation. Chapters elaborate on the interactions between human and natural systems, addressing questions such as "what are the regional impacts of an oil spill in coastal environments?" and "how does urbanization affect the rate of infiltration of water at urban–rural interfaces?" Throughout, contributors discuss new techniques and methods for measurements, mathematical modeling, and image processing. Key features: Compares data mining, machine learning, and image processing methods to help you select the best one for your needs Incorporates ground-based monitoring networks as part of air and water quality management Emphasizes environmental information management, with proper integration of GPS, GIS, and existing environmental databases Shows how modeling can be used for decision making Examines how remote sensing can be used to understand environmental health implications and to shape environmental management policies Demonstrates how systems analysis can be used to aid in environmental policy analysis Discusses opportunities for integrated field and laboratory studies in remote sensing education A useful reference for students, professionals, scientists, and policy makers in environmental management and informatics as well as environmental, agricultural, forest, and sustainability sciences, this book shows readers how to m

Table of Contents:
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.