Earth Observation for Monitoring and Modeling Land Use

Herausgeber: Fuzzo, Daniela Fernanda Da Silva; Filho, João Alberto Fischer; Triantakonstantis, Dimitris

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Elsevier Inc
• Seitenzahl: 400
• Erscheinungstermin: 29. November 2024
• Englisch
• Abmessung: 229mm x 152mm x 22mm
• Gewicht: 562g
• ISBN-13: 9780323951937
• ISBN-10: 0323951937
• Artikelnr.: 67567545

Inhaltsangabe

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