Earth Observation for Monitoring and Modeling Land Use

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. Focuses on a variety of interdisciplinary applications using Earth observation data, technologies, and machine learning techniques to address various challenges in land use changeIncludes detailed application-specific discussions that allow readers to understand the different applications of tools aimed at observing the Earth's surfaceCovers theoretical and applied research contributions, along with background information on the use of current technologies applied to land use and land resourcesPresents summaries of technical information and data handling that will enable readers to understand the key benefits of Earth observation technologies in respect to land use INDICE: Part I. EO datasets for land use/land cover 1. Remote observation for predicting soil moisture in integrated crop/livestock areas 2. Soil Chemical Properties using Hyperspectral Remote Sensing 3. Monitoring and modelling urban growth dynamics of Pune and Pimpri-Chinchwad City, Maharashtra, India 4. Drones in high resolution land use assessment using artificial intelligence Part II. Land use/land cover classification 5. Mapping the Soil Organic Carbon Sequestration Potential of Greece’s Agricultural Soils 6. Mapping Greece’s Salt Affected Soils Extent with the use of Machine Learning and Remote Sensing Data 7. A View of Biological Invasions at the Landscape Scale: A Case Study of Two Australian Acacia Species in Portugal 8. Land use and socioeconomic interventions in the production of urban climate: day and night thermal effects in a continental tropical city 9. Landscape Geoecology in the Feasibility of Creating Linear Parks in Urban Microbains Part III. Operational EO Tools for Monitoring and Modelling land use/land cover 10. Hyper-Spectral Remote Sensing: Potential Prospects in Water Quality Monitoring & Assessment 11. Appraisal of Spatial interpolation techniques in predicting soil organic carbon using Earth Observation datasets 12. Conservation Status of Permanent Preservation Areas and of Water in the Cabaçal River Basin, Mato Grosso State, Brazil Part IV. Looking into the Future: Challenges and Perspectives 13. Modeling and predicting future land use: application of Dyna-CLUE and Markov Chain - Cellular Automata Analysis (CA-Markov) models in a Brazilian watershed 14. Interpretation of Land Use and Land Cover Changes at Different Classification Levels: The Paranapanema River Basin - Brazil Case

• ISBN: 978-0-323-95193-7
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 400
• Fecha Publicación: 01/11/2024
• Nº Volúmenes: 1
• Idioma: Inglés