Earth Observation for Monitoring and Modeling Land Use (Earth Observation)

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Earth Observation for Monitoring and Modeling Land Use (Earth Observation)

Da Silva Fuzzo, Daniela Fernanda (EDT)/ Triantakonstantis, Dimitris (EDT)/ Fischer Filho, João Alberto (EDT)

ウェブストア価格 ¥37,769（本体¥34,336）
Elsevier - Health Sciences Division（2024/11発売）
外貨定価 US$ 185.00
ポイント 343pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 400 p.
言語 ENG
商品コード 9780323951937
DDC分類 550.28

Full Description

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.

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