
- 520 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Environmental Remote Sensing and Systems Analysis
About this book
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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Yes, you can access Environmental Remote Sensing and Systems Analysis by Ni-Bin Chang in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Geology & Earth Sciences. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front Cover
- Contents
- Preface
- About the Editor
- Contributors
- Chapter 1: Linkages between Environmental Remote Sensing and Systems Analysis
- Chapter 2: Using Remote SensingāBased Carlson Index Mapping to Assess Hurricane and Drought Effects on Lake Trophic State
- Chapter 3: Mapping Potential Annual Pollutant Loads in River Basins Using Remotely Sensed Imagery
- Chapter 4: Identifying the Impact of Oil Spills with the Remote SensingāBased Oil Spread Index Method
- Chapter 5: Remote Sensing to Predict Estuarine Water Salinity
- Chapter 6: Multitemporal Remote Sensing of Coastal Sediment Dynamics
- Chapter 7: Estimating Total Phosphorus Impacts in a Coastal Bay with Remote Sensing Images and inĀ Situ Measurements
- Chapter 8: Monitoring and Mapping of Flood Plumes in the Great Barrier Reef Based on in Situ and Remote Sensing Observations
- Chapter 9: Satellite Remote Sensing for Landslide Prediction
- Chapter 10: Analysis of Impervious Surface and Suburban Form Using High Spatial Resolution Satellite Imagery
- Chapter 11: Use of InSAR for Monitoring Land Subsidence in Mashhad Subbasin, Iran
- Chapter 12: Remote Sensing Assessment of Coastal Land Reclamation Impact in Dalian, China, Using High-Resolution SPOT Images and Support Vector Machine
- Chapter 13: Mapping Impervious Surface Distribution with the Integration of Landsat TM and QuickBird Images in a Complex UrbanāRural Frontier in Brazil
- Chapter 14: Using Lidar to Characterize Particles from Point and Diffuse Sources in an Agricultural Field
- Chapter 15: Measurement of Aerosol Properties over Urban Environments from Satellite Remote Sensing
- Chapter 16: DOAS Technique : Emission Measurements inĀ Urban and Industrial Regions
- Chapter 17: Interactions between Ultraviolet-B and Total Ozone Concentrations in the Continental United States
- Chapter 18: Remote Sensing of Asian Dust Storms
- Chapter 19: Forest Fire and Air Quality Monitoring from Space
- Chapter 20: Satellite Remote Sensing of Global Air Quality
- Back Cover