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Land use cover datasets and validation toolsvalidation practices with QGIS /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Land use cover datasets and validation toolsedited by David Garcia-Alvarez ... [et al.].
Reminder of title:	validation practices with QGIS /
other author:	Garcia-Alvarez, David.
Published:	Cham :Springer International Publishing :2022.
Description:	xiv, 462 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Land useRemote sensing.
Online resource:	https://doi.org/10.1007/978-3-030-90998-7
ISBN:	9783030909987$q(electronic bk.)

Land use cover datasets and validation toolsvalidation practices with QGIS /
Land use cover datasets and validation toolsvalidation practices with QGIS /[electronic resource] :edited by David Garcia-Alvarez ... [et al.]. - Cham :Springer International Publishing :2022. - xiv, 462 p. :ill. (some col.), digital ;24 cm.

Chapter 1. About this book -- Part I. Concepts, data and validation -- Chapter 2. Land Use Cover mapping, modelling and validation. A background -- Chapter 3. Validation of Land Use Cover maps: a guideline -- Chapter 4. Land Use Cover Datasets: a review -- Part II. Data access and visualization -- Chapter 5. Visualization and communication of LUC data -- Chapter 6. Sample data for thematic accuracy assessment in QGIS -- Part III. Tools to validate Land Use Cover maps: a review -- Chapter 7. Basic and Multiple-Resolution Cross Tabulation to validate Land Use Cover maps -- Chapter 8. Metrics based on a Cross-Tabulation matrix to validate Land Use Cover maps -- Chapter 9. Pontius Jr. methods based on a Cross Tabulation matrix to validate Land Use Cover maps -- Chapter 10. Validation of soft maps produced by a Land Use Cover Change model -- Chapter 11. Spatial metrics to validate Land Use Cover maps -- Chapter 12. Advanced pattern analysis to validate Land Use Cover maps -- Chapter 13. Geographically Weighted methods to validate Land Use Cover maps -- Part IV. Land Use Cover datasets: a review -- Chapter 14. Global general Land Use Cover datasets with a single date,- Chapter 15. Global general Land Use Cover datasets with a time series of maps -- Chapter 16. General Land Use Cover datasets for Europe -- Chapter 17. General Land Use Cover datasets for Africa -- Chapter 18. General Land Use Cover datasets for America and Asia -- Chapter 19. Global thematic Land Use Cover datasets characterizing vegetation covers -- Chapter 20. Global thematic Land Use Cover datasets characterizing agricultural covers -- Chapter 21. Global thematic Land Use Cover datasets characterizing artificial covers -- Chapter 22. Supra-national thematic Land Use Cover datasets.

Open access.

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.

ISBN: 9783030909987$q(electronic bk.)

Standard No.: 10.1007/978-3-030-90998-7doiSubjects--Topical Terms:

345043
Land use
--Remote sensing.

LC Class. No.: HD108.8 / .L35 2022

Dewey Class. No.: 333.7313

Land use cover datasets and validation toolsvalidation practices with QGIS /
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505 0 $a Chapter 1. About this book -- Part I. Concepts, data and validation -- Chapter 2. Land Use Cover mapping, modelling and validation. A background -- Chapter 3. Validation of Land Use Cover maps: a guideline -- Chapter 4. Land Use Cover Datasets: a review -- Part II. Data access and visualization -- Chapter 5. Visualization and communication of LUC data -- Chapter 6. Sample data for thematic accuracy assessment in QGIS -- Part III. Tools to validate Land Use Cover maps: a review -- Chapter 7. Basic and Multiple-Resolution Cross Tabulation to validate Land Use Cover maps -- Chapter 8. Metrics based on a Cross-Tabulation matrix to validate Land Use Cover maps -- Chapter 9. Pontius Jr. methods based on a Cross Tabulation matrix to validate Land Use Cover maps -- Chapter 10. Validation of soft maps produced by a Land Use Cover Change model -- Chapter 11. Spatial metrics to validate Land Use Cover maps -- Chapter 12. Advanced pattern analysis to validate Land Use Cover maps -- Chapter 13. Geographically Weighted methods to validate Land Use Cover maps -- Part IV. Land Use Cover datasets: a review -- Chapter 14. Global general Land Use Cover datasets with a single date,- Chapter 15. Global general Land Use Cover datasets with a time series of maps -- Chapter 16. General Land Use Cover datasets for Europe -- Chapter 17. General Land Use Cover datasets for Africa -- Chapter 18. General Land Use Cover datasets for America and Asia -- Chapter 19. Global thematic Land Use Cover datasets characterizing vegetation covers -- Chapter 20. Global thematic Land Use Cover datasets characterizing agricultural covers -- Chapter 21. Global thematic Land Use Cover datasets characterizing artificial covers -- Chapter 22. Supra-national thematic Land Use Cover datasets.
506 $a Open access.
520 $a 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.
650 0 $a Land use $x Remote sensing. $3 345043
650 0 $a Land use surveys $x Data processing. $3 929240
650 0 $a Geographic information systems. $3 193348
650 1 4 $a Geographical Information System. $3 913165
650 2 4 $a Cartography. $3 242396
650 2 4 $a Earth System Sciences. $3 559038
700 1 $a Garcia-Alvarez, David. $3 929239
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-90998-7
950 $a Earth and Environmental Science (SpringerNature-11646)