05657cam a2200553Mi 4500 ocn971240178 OCoLC 20190328114817.0 m o d cr ||||||||||| 161017s2016 ne ob 001 0 eng d NLE eng rda pn NLE OCLCF OCLCQ YDX N$T IDEBK EBLCP OPELS OTZ VGM OCLCO OCLCQ MERER OCLCQ U3W MERUC OCLCQ D6H EZ9 OCLCQ 962750759 962829985 963672652 963695317 963745102 964529405 9780081012659 (ePub ebook) 0081012659 (ePub ebook) 9781785481055 (hbk.) 1785481053 (OCoLC)971240178 (OCoLC)962750759 (OCoLC)962829985 (OCoLC)963672652 (OCoLC)963695317 (OCoLC)963745102 (OCoLC)964529405 HD108.8 TEC 003030 bisacsh TEC 003080 bisacsh 630.2084 23 Zribi, Mehrez, author CNRS, France Land surface remote sensing : environment and risks / [electronic resource] edited by Nicolas Baghdadi, Mehrez Zribi. Amsterdam : Elsevier, 2016. 1 online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier Remote sensing observations of continental surfaces set 1. Drylands and Desertification 2. Remote Sensing and Measuring Deforestation 3. Remote Sensing of Wildfires 4. Characterization of Industrial Plumes 5. Monitoring of Earth Surface Motion and Geomorphologic Processes by Optical Image Correlation 6. Application of Optical Remote Sensing for Monitoring Environmental Impacts of Mining: From Exploitation to Postmining 7. The Contribution of SAR Datato Volcanology and Subsidence Studies 8. Applications of Remote Sensing to Locust Management 9. Applications of Remote Sensing to the Epidemiology of Infectious Diseases: Some Examples. CIP data; item not viewed. 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 deforestation2.4. 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 Postmining6.1. 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 volcanoes7.4. 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. Includes bibliographical references at the end of each chapters and index. Land use Remote sensing. TECHNOLOGY & ENGINEERING Agriculture Agronomy Crop Science. bisacsh TECHNOLOGY & ENGINEERING Agriculture Agronomy General. bisacsh Land use Remote sensing. fast (OCoLC)fst00991561 Electronic books. Baghdadi, Nicolas, editor. Zribi, Mehrez, editor. Print version : 9781785481055 Remote sensing observations of continental surfaces set. ScienceDirect http://www.sciencedirect.com/science/book/9781785481055 247464 247464