Earth Observation for Monitoring and Modeling Land Use presents a practical guide and theoretical overview of the latest techniques and Earth observation technologies applied to land use and land cover change through qualitative assessment of Earth observation technologies. The book's chapters include detailed case studies, Earth observation datasets, and detailed applications of the technologies covered that are presented in a way that each chapter is a self-contained guide on a specific application of Earth observation technologies to land use problems, ensuring all technical and background information is provided on each subject without the need for cross-referencing or searching for other sources.
The book spatializes the understanding of monitoring land cover and use, and quantifies the challenges faced, allowing analysis of the dynamics of the territory in terms of occupation processes, land use, and its transformations. It focuses on practical applications of using remote sensing and modeling that support new research in relation to monitoring of land use and spectral modelling, elucidating the importance of advanced methodologies in the coverage and use mappings of the Earth.
1. Earth Observation for Monitoring and Modeling Land Use - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright Page - p. iv 5. Table of Contents - p. iv 6. Contributors - p. xi 7. Chapter 1 Remote observation for predicting soil moisture in integrated crop/livestock areas - p. 1 8. Chapter 2 Soil chemical properties estimation using hyperspectral remote sensing: A review - p. 25 9. Chapter 3 Monitoring and modeling urban growth dynamics - p. 45 10. Chapter 4 Drones in high resolution land use assessment using artificial intelligence - p. 83 11. Chapter 5 Mapping the soil organic carbon sequestration potential of Greek agricultural soils - p. 105 12. Chapter 6 Mapping the Greek salt affected soils with the use of machine learning and remote sensing data - p. 129 13. Chapter 7 A view of biological invasions at the landscape scale: a case study of two Australian Acacia species in Portugal - p. 151 14. Chapter 8 Land use and socioeconomic interventions in the production of urban climate: Day and night thermal effects in a continental tropical city - p. 183 15. Chapter 9 Landscape geoecology in the feasibility of creating linear parks in urban microbains - p. 207 16. Chapter 10 Hyperspectral remote sensing: Potential prospects in water quality monitoring and assessment - p. 241 17. Chapter 11 Appraisal of spatial interpolation techniques in predicting soil organic carbon using earth observation datasets - p. 265 18. Chapter 12 Conservation status of water and permanent preservation areas in the Cabaçal river basin, Mato Grosso state, Brazil - p. 285 19. Chapter 13 Technological advances applied to spectral monitoring in agriculture - p. 305 20. Chapter 14 Modeling and predicting future land use: Application of Dyna-CLUE and Cellular automata - Markov chain analysis (CA-Markov) models in a brazilian watershed - p. 327 21. Chapter 15 Interpretation of land use and land cover changes at different classification levels: The Paranapanema River Basin–Brazil case - p. 367 22. Index - p. 403
Earth Observation for Monitoring and Modeling Land Use presents a practical guide and theoretical overview of the latest techniques and Earth observation technologies applied to land use and land cover change through qualitative assessment of Earth observation technologies. The book's chapters include detailed case studies, Earth observation datasets, and detailed applications of the technologies covered that are presented in a way that each chapter is a self-contained guide on a specific application of Earth observation technologies to land use problems, ensuring all technical and background information is provided on each subject without the need for cross-referencing or searching for other sources.
The book spatializes the understanding of monitoring land cover and use, and quantifies the challenges faced, allowing analysis of the dynamics of the territory in terms of occupation processes, land use, and its transformations. It focuses on practical applications of using remote sensing and modeling that support new research in relation to monitoring of land use and spectral modelling, elucidating the importance of advanced methodologies in the coverage and use mappings of the Earth.
1. Earth Observation for Monitoring and Modeling Land Use - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright Page - p. iv 5. Table of Contents - p. iv 6. Contributors - p. xi 7. Chapter 1 Remote observation for predicting soil moisture in integrated crop/livestock areas - p. 1 8. Chapter 2 Soil chemical properties estimation using hyperspectral remote sensing: A review - p. 25 9. Chapter 3 Monitoring and modeling urban growth dynamics - p. 45 10. Chapter 4 Drones in high resolution land use assessment using artificial intelligence - p. 83 11. Chapter 5 Mapping the soil organic carbon sequestration potential of Greek agricultural soils - p. 105 12. Chapter 6 Mapping the Greek salt affected soils with the use of machine learning and remote sensing data - p. 129 13. Chapter 7 A view of biological invasions at the landscape scale: a case study of two Australian Acacia species in Portugal - p. 151 14. Chapter 8 Land use and socioeconomic interventions in the production of urban climate: Day and night thermal effects in a continental tropical city - p. 183 15. Chapter 9 Landscape geoecology in the feasibility of creating linear parks in urban microbains - p. 207 16. Chapter 10 Hyperspectral remote sensing: Potential prospects in water quality monitoring and assessment - p. 241 17. Chapter 11 Appraisal of spatial interpolation techniques in predicting soil organic carbon using earth observation datasets - p. 265 18. Chapter 12 Conservation status of water and permanent preservation areas in the Cabaçal river basin, Mato Grosso state, Brazil - p. 285 19. Chapter 13 Technological advances applied to spectral monitoring in agriculture - p. 305 20. Chapter 14 Modeling and predicting future land use: Application of Dyna-CLUE and Cellular automata - Markov chain analysis (CA-Markov) models in a brazilian watershed - p. 327 21. Chapter 15 Interpretation of land use and land cover changes at different classification levels: The Paranapanema River Basin–Brazil case - p. 367 22. Index - p. 403
