Skip to main content
  • Book
  • Open Access
  • © 2022

Land Use Cover Datasets and Validation Tools

Validation Practices with QGIS

  • Represents up-to-date comprehensive review of theory and techniques to validate land-use cover information

  • Provides detailed tutorials to easily apply most of the available validation techniques in open access GIS software

  • Shows detailed review of LUC data currently available at global and continental scales

  • Freely available to all readers, this book is open access

Buying options

Softcover Book USD 49.99
Price excludes VAT (USA)
Hardcover Book USD 59.99
Price excludes VAT (USA)

Table of contents (23 chapters)

  1. Front Matter

    Pages i-xi
  2. About This Book

    • David García-Álvarez, María Teresa Camacho Olmedo, Martin Paegelow, Jean-François Mas
    Pages 1-17Open Access
  3. Concepts, Data and Validation

    1. Front Matter

      Pages 19-19
    2. Land Use Cover Mapping, Modelling and Validation. A Background

      • David García-Álvarez, María Teresa Camacho Olmedo, Jean-François Mas, Martin Paegelow
      Pages 21-33Open Access
    3. Validation of Land Use Cover Maps: A Guideline

      • María Teresa Camacho Olmedo, David García-Álvarez, Marta Gallardo, Jean-François Mas, Martin Paegelow, Miguel Ángel Castillo-Santiago et al.
      Pages 35-46Open Access
    4. Land Use Cover Datasets: A Review

      • David García-Álvarez, Sabina Florina Nanu
      Pages 47-66Open Access
  4. Data Access and Visualization

    1. Front Matter

      Pages 67-67
    2. Visualization and Communication of LUC Data

      • Francisco Escobar
      Pages 69-83Open Access
    3. Sample Data for Thematic Accuracy Assessment in QGIS

      • Miguel Ángel Castillo-Santiago, Edith Mondragón-Vázquez, Roberto Domínguez-Vera
      Pages 85-96Open Access
  5. Tools to Validate Land Use Cover Maps: A Review

    1. Front Matter

      Pages 97-97
    2. Basic and Multiple-Resolution Cross-Tabulation to Validate Land Use Cover Maps

      • María Teresa Camacho Olmedo, David García-Álvarez
      Pages 99-125Open Access
    3. Metrics Based on a Cross-Tabulation Matrix to Validate Land Use Cover Maps

      • Jean-François Mas, David García-Álvarez, Martin Paegelow, Roberto Domínguez-Vera, Miguel Ángel Castillo-Santiago
      Pages 127-151Open Access
    4. Pontius Jr. Methods Based on a Cross-Tabulation Matrix to Validate Land Use Cover Maps

      • Martin Paegelow, Jean-François Mas, Marta Gallardo, María Teresa Camacho Olmedo, David García-Álvarez
      Pages 153-187Open Access
    5. Validation of Soft Maps Produced by a Land Use Cover Change Model

      • María Teresa Camacho Olmedo, Jean-François Mas, Martin Paegelow
      Pages 189-203Open Access
    6. Spatial Metrics to Validate Land Use Cover Maps

      • David García-Álvarez, Martin Paegelow
      Pages 205-228Open Access
    7. Advanced Pattern Analysis to Validate Land Use Cover Maps

      • Martin Paegelow, David García-Álvarez
      Pages 229-254Open Access
    8. Geographically Weighted Methods to Validate Land Use Cover Maps

      • Ramón Molinero-Parejo
      Pages 255-265Open Access
  6. Land Use Cover Datasets: A Review

    1. Front Matter

      Pages 267-267
    2. Global General Land Use Cover Datasets with a Single Date

      • David García-Álvarez, Javier Lara Hinojosa, Jaime Quintero Villaraso
      Pages 269-286Open Access
    3. Global General Land Use Cover Datasets with a Time Series of Maps

      • David García-Álvarez, Javier Lara Hinojosa, Francisco José Jurado Pérez, Jaime Quintero Villaraso
      Pages 287-311Open Access

About this book


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.

Keywords

  • Land Use Cover mapping
  • Land Use Cover Change modelling
  • Land Change science
  • Uncertainty
  • Validation exercises
  • Accuracy
  • Remote sensing
  • Open Access

Editors and Affiliations

  • Departamento de Geología, Geografía y Medio Ambiente, Universidad de Alcalá, Alcalá de Henares, Spain

    David García-Álvarez

  • Departamento de Análisis Geográfico Regional y Geografía Física, Universidad de Granada, Granada, Spain

    María Teresa Camacho Olmedo

  • Département de Géographie, Aménagement et Environnement, Université de Toulouse Jean Jaurès, Toulouse, France

    Martin Paegelow

  • Laboratorio de Análisis Espacial, Centro de Investigaciones en Geografía Ambiental, Universidad Nacional Autónoma de México, Morelia, Mexico

    Jean François Mas

About the editors

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.


Bibliographic Information

  • Book Title: Land Use Cover Datasets and Validation Tools

  • Book Subtitle: Validation Practices with QGIS

  • Editors: David García-Álvarez, María Teresa Camacho Olmedo, Martin Paegelow, Jean François Mas

  • DOI: https://doi.org/10.1007/978-3-030-90998-7

  • Publisher: Springer Cham

  • eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s) 2022

  • License: CC BY

  • Hardcover ISBN: 978-3-030-90997-0

  • Softcover ISBN: 978-3-030-91000-6

  • eBook ISBN: 978-3-030-90998-7

  • Edition Number: 1

  • Number of Pages: XIV, 462

  • Number of Illustrations: 47 b/w illustrations, 226 illustrations in colour

  • Topics: Geographical Information System, Cartography, Earth System Sciences

Buying options

Softcover Book USD 49.99
Price excludes VAT (USA)
Hardcover Book USD 59.99
Price excludes VAT (USA)