Land Use Cover Datasets and Validation Tools: Validation Practices With Qgis - Rilegato

Rilegato

ISBN 10: 3030909972 ISBN 13: 9783030909970

Casa editrice: Springer-Nature New York Inc, 2022

Riassunto

This open access book represents a comprehensive review of available land-use cover data and techniques to validate and analyze this type of spatial information. The book provides the basic theory needed to understand the progress of LUCC mapping/modeling validation practice. It makes accessible to any interested user most of the research community's methods and techniques to validate LUC maps and models. Besides, this book is enriched with practical exercises to be applied with QGIS.

The book includes a description of relevant global and supra-national LUC datasets currently available. Finally, the book provides the user with all the information required to manage and download these datasets.

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Informazioni sull'autore

David García Álvarez holds Ph.D. and is a postdoctoral researcher at the Department of Geology, Geography and Environment, at the University of Alcalá, Spain. He has previously worked at the University of Granada and the Joint Research Centre of the European Commission. His research interests include land-use cover change mapping and modelling, uncertainty of spatial data, shared economies in the accommodation sector and the analysis of regional and local territorial dynamics.

María Teresa Camacho Olmedo holds Ph.D. and is a tenured professor at the Department of Geographical Regional Analysis and Physical Geography, at the University of Granada, Spain. Dr. Camacho Olmedo leads the project entitled Suitability and Uncertainty of Land Use and Cover Maps for the Analysis and Modelling of Territorial Dynamics (INCERTIMAPS), funded by the Spanish Ministry of Ministerio de Ciencia, Innovación y Universidades and the FEDER European Regional Development Fund (ref. PGC2018-100770-B-100) (2019-2021), after successfully completing various other competitive projects since 2003. Her current research includes land-use and land-cover modelling, simulation models and scenarios, and territorial dynamics. She has published numerous scientific papers and books.

Martin Paegelow holds Ph.D., is a professor at the Department of Geography, Land Planning and Environment at the University of Toulouse Jean Jaurès, France, and member of Geography of Environment (GEODE) UMR 5602 CNRS laboratory. In 1991, he obtained a Ph.D. in geography and was accredited to supervise research in 2004. He is a specialist in environmental geography and geomatics. His principal research areas are environmental management and geomatic solutions with a special focus on geomatic land change modelling and its validation. He is also strongly committed to the teaching side of his job, and since 2004, has been the co-director of the Master’s Degree in Geomatics in Toulouse.

Jean Francois Mas holds Ph.D. and is a tenured professor in the Center of Research in Environmental Geography (Centro de Investigaciones en Geografía Ambiental, CIGA) at the National Autonomous University of Mexico (Universidad Nacional Autónoma de México, UNAM). He specializes in the fields of remote sensing, geographical information science, and spatial modelling. His research interests include land-use/land-cover change monitoring and modelling, accuracy assessment of spatial data, forest inventory, and vegetation cartography. He has published more than 70 peer-reviewed scientific publications, advised 9 Ph.D. dissertations, supervised 15 master’s degree students, and participated in 35 research projects.

Dalla quarta di copertina

This open access book represents a comprehensive review of available land-use cover data and techniques to validate and analyze this type of spatial information. The book provides the basic theory needed to understand the progress of LUCC mapping/modeling validation practice. It makes accessible to any interested user most of the research community's methods and techniques to validate LUC maps and models. Besides, this book is enriched with practical exercises to be applied with QGIS.

The book includes a description of relevant global and supra-national LUC datasets currently available. Finally, the book provides the user with all the information required to manage and download these datasets.

Dettagli dell'edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 3030909972
• ISBN 13: 9783030909970
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 480
• Redattore: Lvarez David Garca, Olmedo Mara Teresa Camacho, Paegelow Martin, Mas Jean Franois
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania