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Satellite Remote Sensing for Forest and Environmental Monitoring provides a thorough examination of the applications and methods of satellite remote sensing for analyzing and managing forest environments. From forest height mapping to biodiversity modeling, the book explores a variety of Earth observation applications across cutting-edge sensors and platforms. The book addresses the ability of satelitte technologies to observe and analyse ecological functions, conditions, and socioeconomic benefits for sustainable nature protection in the face of anthropogenic change, offering practical tools and strategies for large-scale forest inventories, fire risk assessment, and freshwater management. Satellite Remote Sensing for Forest and Environmental Monitoring offers postgraduates, researchers, and academics in remote sensing and geospatial technologies, particularly those focusing on forestry applications and related disciplines insights into environmental changes, land use patterns, vegetation mapping, and climate indicators.

  • Covers a range of cutting-edge sensors and platforms for advanced forest analyses and novel remote sensing methodologies
  • Explore diverse global case studies, utilizing consistent observations for effective geospatial monitoring strategies
  • Provies insights into the management of forest dimensions through remote sensing technologies, guiding readers through data acquisition and interpretation fro decision-making capabilities

1. Introduction - p. xxi 2. Section I: Spaceborne SAR for forest applications - p. S1 3. Chapter 1 Mapping the forest height with multispectral and synthetic aperture radar (SAR) data - p. 3 4. Chapter 2 Modelling above-ground forest biomass using Sentinel-1/2 image fusion: A case study in Lore Lindu National Park, Indonesia - p. 33 5. Chapter 3 Pan-European fuel mapping based on remote sensing-derived data - p. 67 6. Chapter 4 Forest structural attributes estimation: Contributions and limitations of current SAR sensors and modelling approaches - p. 97 7. Section II: Spaceborne LiDAR for forest applications - p. S2 8. Chapter 5 Identification and correction approaches of geolocation errors in GEDI data - p. 123 9. Chapter 6 Mapping forest fuels: How satellite LiDAR transforms our understanding - p. 155 10. Chapter 7 Land cover mapping by combining GEDI-derived vertical metrics with SAR and multispectral data - p. 185 11. Chapter 8 More than ice in ICESat-2: Measuring forests - p. 221 12. Section III: Optical satellites for forest applications - p. S3 13. Chapter 9 Earth Observation satellites as a tool to determine the fire risk around logistic corridors - p. 247 14. Chapter 10 Probabilistic approaches for the prediction of forest fire danger using optical and thermal satellite data - p. 285 15. Chapter 11 Leveraging Earth observation satellites for emergency response: Hotspot detection, burned area tracking, and beyond - p. 329 16. Chapter 12 Enhanced burnt area mapping across temperate and tropical regions with Landsat data and deep learning - p. 361 17. Chapter 13 Regional forest mapping system using Sentinel-2 data and a sliding temporal window approach - p. 393 18. Section IV: Satellites for environmental and land cover applications - p. S4 19. Chapter 14 Suitability of 3D satellite data for forest fuels estimation compared to more proximal platforms - p. 427 20. Chapter 15 Artificial intelligence and Earth observation for agricultural applications - p. 473 21. Chapter 16 Coastal vulnerability mapping of the fjords in the Romsdal area, Norway using geoinformatics - p. 515 22. Chapter 17 Combined use of open Earth Observation data and free software tools for the control of irrigation extractions in the groundwater body of the Mediterranean Júcar River Basin demarcation - p. 533 23. Chapter 18 Graphical analysis of sampling and satellite data in Waterwise WebGIS: Remote sensing techniques for detecting and monitoring cyanobacteria and algal blooms in water bodies - p. 563 24. Chapter 19 Application of PAZ satellite radar images for soil moisture monitoring in urban areas - p. 601 25. Chapter 20 Using GEDI-derived vegetation structural metrics to evaluate avian biodiversity patterns in Mediterranean habitats - p. 631 26. Index - p. 663

Descripcion
Descripción

Satellite Remote Sensing for Forest and Environmental Monitoring provides a thorough examination of the applications and methods of satellite remote sensing for analyzing and managing forest environments. From forest height mapping to biodiversity modeling, the book explores a variety of Earth observation applications across cutting-edge sensors and platforms. The book addresses the ability of satelitte technologies to observe and analyse ecological functions, conditions, and socioeconomic benefits for sustainable nature protection in the face of anthropogenic change, offering practical tools and strategies for large-scale forest inventories, fire risk assessment, and freshwater management. Satellite Remote Sensing for Forest and Environmental Monitoring offers postgraduates, researchers, and academics in remote sensing and geospatial technologies, particularly those focusing on forestry applications and related disciplines insights into environmental changes, land use patterns, vegetation mapping, and climate indicators.

  • Covers a range of cutting-edge sensors and platforms for advanced forest analyses and novel remote sensing methodologies
  • Explore diverse global case studies, utilizing consistent observations for effective geospatial monitoring strategies
  • Provies insights into the management of forest dimensions through remote sensing technologies, guiding readers through data acquisition and interpretation fro decision-making capabilities

1. Introduction - p. xxi 2. Section I: Spaceborne SAR for forest applications - p. S1 3. Chapter 1 Mapping the forest height with multispectral and synthetic aperture radar (SAR) data - p. 3 4. Chapter 2 Modelling above-ground forest biomass using Sentinel-1/2 image fusion: A case study in Lore Lindu National Park, Indonesia - p. 33 5. Chapter 3 Pan-European fuel mapping based on remote sensing-derived data - p. 67 6. Chapter 4 Forest structural attributes estimation: Contributions and limitations of current SAR sensors and modelling approaches - p. 97 7. Section II: Spaceborne LiDAR for forest applications - p. S2 8. Chapter 5 Identification and correction approaches of geolocation errors in GEDI data - p. 123 9. Chapter 6 Mapping forest fuels: How satellite LiDAR transforms our understanding - p. 155 10. Chapter 7 Land cover mapping by combining GEDI-derived vertical metrics with SAR and multispectral data - p. 185 11. Chapter 8 More than ice in ICESat-2: Measuring forests - p. 221 12. Section III: Optical satellites for forest applications - p. S3 13. Chapter 9 Earth Observation satellites as a tool to determine the fire risk around logistic corridors - p. 247 14. Chapter 10 Probabilistic approaches for the prediction of forest fire danger using optical and thermal satellite data - p. 285 15. Chapter 11 Leveraging Earth observation satellites for emergency response: Hotspot detection, burned area tracking, and beyond - p. 329 16. Chapter 12 Enhanced burnt area mapping across temperate and tropical regions with Landsat data and deep learning - p. 361 17. Chapter 13 Regional forest mapping system using Sentinel-2 data and a sliding temporal window approach - p. 393 18. Section IV: Satellites for environmental and land cover applications - p. S4 19. Chapter 14 Suitability of 3D satellite data for forest fuels estimation compared to more proximal platforms - p. 427 20. Chapter 15 Artificial intelligence and Earth observation for agricultural applications - p. 473 21. Chapter 16 Coastal vulnerability mapping of the fjords in the Romsdal area, Norway using geoinformatics - p. 515 22. Chapter 17 Combined use of open Earth Observation data and free software tools for the control of irrigation extractions in the groundwater body of the Mediterranean Júcar River Basin demarcation - p. 533 23. Chapter 18 Graphical analysis of sampling and satellite data in Waterwise WebGIS: Remote sensing techniques for detecting and monitoring cyanobacteria and algal blooms in water bodies - p. 563 24. Chapter 19 Application of PAZ satellite radar images for soil moisture monitoring in urban areas - p. 601 25. Chapter 20 Using GEDI-derived vegetation structural metrics to evaluate avian biodiversity patterns in Mediterranean habitats - p. 631 26. Index - p. 663

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