Details

Autor(en) / Beteiligte

• Baghdadi, Nicolas,
• Zribi, Mehrez,

Titel

Land surface remote sensing : environment and risks

Ist Teil von

• Remote Sensing Observations of Continental Surfaces Set

Ort / Verlag

London, [England] ; : ISTE Press

Erscheinungsjahr

2016

Beschreibungen/Notizen

• Includes bibliographical references at the end of each chapters and index.
• Front Cover -- Land Surface Remote Sensing: Environment and Risks -- Copyright -- Contents -- Foreword -- Acronyms -- Introduction -- Chapter 1. Drylands and Desertification -- 1.1. Drylands -- 1.2. Dryland vegetation observed by satellite -- 1.3. Soils and surface materials: the dominant components of drylands -- 1.4. Conclusions and outlook -- 1.5. Key points -- 1.6. Bibliography -- Chapter 2. Remote Sensing and Measuring Deforestation -- 2.1. Introduction: forests, deforestation and forest degradation -- 2.2. Which images should be used for measuring deforestation? Limits and advantages -- 2.3. Methods for monitoring deforestation -- 2.4. Programs for estimating deforestation on a global scale -- 2.5. Programs evaluating deforestation and degradation on a regional scale: some case studies -- 2.6. Outlook -- 2.7. Key points -- 2.8. Bibliography -- Chapter 3. Remote Sensing of Wildfires -- 3.1. Introduction -- 3.2. Fuel moisture estimation -- 3.3. Fire detection -- 3.4. Burnt area mapping -- 3.5. Perspectives -- 3.6. Key points -- 3.7. Bibliography -- Chapter 4. Characterization of Industrial Plumes -- 4.1. Introduction -- 4.2. Principal characteristics of anthropogenic plumes -- 4.3. Optical properties of plumes -- 4.4. Characterization of aerosol plumes using remote sensing -- 4.5. Characterization of gas plume properties -- 4.6. Conclusions and outlook -- 4.7. Key points -- 4.8. Bibliography -- Chapter 5. Monitoring of Earth Surface Motion and Geomorphologic Processes by Optical Image Correlation -- 5.1. Introduction -- 5.2. Sources of image data -- 5.3. Preprocessing -- 5.4. Principles of optical image correlation -- 5.5. Applications -- 5.6. Current limitations and perspectives -- 5.7. Conclusions -- 5.8. Key points -- 5.9. Acknowledgments -- 5.10. Bibliography.
• Chapter 6. Application of Optical Remote Sensing for Monitoring Environmental Impacts of Mining: From Exploitation to Postmining -- 6.1. The environmental and societal stakes of mining -- 6.2. The role of Earth Observation -- 6.3. Application examples -- 6.4. Multisensor integrated approaches -- 6.5. Exploitation of an airborne LiDAR DTM -- 6.6. Conclusions and perspectives -- 6.7. Key points -- 6.8. Acknowledgments -- 6.9. Bibliography -- Chapter 7. The Contribution of SAR Data to Volcanology and Subsidence Studies -- 7.1. Introduction -- 7.2. Principles of using satellite SAR data to measure ground displacement -- 7.3. The contribution of InSAR to the understanding and monitoring of volcanoes -- 7.4. Contribution of InSAR to the characterization of anthropogenic subsidence -- 7.5. Outlook -- 7.6. Appendix 1 -- 7.7. Appendix 2 -- 7.8. Key points -- 7.9. Bibliography -- Chapter 8. Applications of Remote Sensing to Locust Management -- 8.1. Introduction -- 8.2. Potential of remote sensing in locust monitoring -- 8.3. Case study 1: using SPOT satellite images to evaluate the impact of habitat fragmentation on population dynamics of the red locust Nomadacris septemfasciata in the Sofia basin in Madagascar -- 8.4. Case study 2: using Landsat satellite imagery to identify migratory locust Locusta migratoria oviposition sites in Central Asia -- 8.5. Case study 3: estimation of the probability of presence of desert locust Schistocerca gregaria from satellite images of vegetation and historical ground data in Mauritania -- 8.6. Conclusions -- 8.7. Key points -- 8.8. Acknowledgments -- 8.9. Bibliography -- Chapter 9. Applications of Remote Sensing to the Epidemiology of Infectious Diseases: Some Examples -- 9.1. Introduction -- 9.2. Hazard mapping: the distribution ranges and habitats of vector insects and reservoir hosts.
• 9.3. The contribution of remote sensing to the assessment of population vulnerability: health inequalities caused by social inequalities -- 9.4. The contribution of remote sensing to the modeling of epidemiological dynamics on a global scale -- 9.5. Prospects -- 9.6. Key points -- 9.7. Acknowledgments -- 9.8. Bibliography -- Glossary -- List of Authors -- Index -- Scientific Committee -- Back Cover.
• Description based on online resource; title from PDF title page (ebrary, viewed November 18, 2016).