Global Land Cover Validation
Methodology, Tools, and Practices
1st Edition
Will be published approx. on 22. June 2026
Book
Paperback/Softback
248 pages
978-1-032-90399-6 (ISBN)
Description
This book aims to summarize and report the major research achievements and validation results under the global land cover (GLC) initiative led by the Group Earth Observation (GEO). The first part of the book introduces the major tasks and challenges facing the validation of finer-resolution GLC maps and presents the concepts and overall framework of the GEO-led initiative. Chapters 2-5 provide systematic introductions to the major methodology of finer-resolution GLC map validation, including sampling design, reference data collection, sample labeling, and accuracy assessment. Chapter 6 introduces the online validation tools that have been developed, including their design, considerations, and functionalities. Chapter 7 presents the international validation practices and the results of validating GlobeLand30 at country, regional, and global scales. Future directions are also discussed in the Conclusion chapter.
Features
Presents complete coverage of land cover validation, from concepts, methodology, and col- laborative tools to applications.
Details algorithms, techniques, and methods for land cover validation, including sampling, judgment, and accuracy assessment.
Reviews some of the software tools that can be used for GLC validation and discusses the issues related to the design, usability, efficiency, and limitations of these tools.
Highlights case studies of validation at global, regional, and national scales, which can serve as great references for researchers.
Provides an extensive bibliography covering the whole scope of land cover validation
Global Land Cover Validation: Methodology, Tools, and Practices serves as a reference for those engaged in land cover validation, especially at a global scale, including students, professionals, researchers, and general practitioners. It is also an excellent resource for professionals involved in sustainable development monitoring, environmental change studies, natural resource management, disaster assessment and mitigation, and many other applications.
Features
Presents complete coverage of land cover validation, from concepts, methodology, and col- laborative tools to applications.
Details algorithms, techniques, and methods for land cover validation, including sampling, judgment, and accuracy assessment.
Reviews some of the software tools that can be used for GLC validation and discusses the issues related to the design, usability, efficiency, and limitations of these tools.
Highlights case studies of validation at global, regional, and national scales, which can serve as great references for researchers.
Provides an extensive bibliography covering the whole scope of land cover validation
Global Land Cover Validation: Methodology, Tools, and Practices serves as a reference for those engaged in land cover validation, especially at a global scale, including students, professionals, researchers, and general practitioners. It is also an excellent resource for professionals involved in sustainable development monitoring, environmental change studies, natural resource management, disaster assessment and mitigation, and many other applications.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Postgraduate, Professional Practice & Development, and Undergraduate Core
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
124 farbige Abbildungen, 3 s/w Photographien bzw. Rasterbilder, 74 Farbfotos bzw. farbige Rasterbilder, 27 s/w Zeichnungen, 50 farbige Zeichnungen, 66 s/w Tabellen, 30 s/w Abbildungen
66 Tables, black and white; 50 Line drawings, color; 27 Line drawings, black and white; 74 Halftones, color; 3 Halftones, black and white; 124 Illustrations, color; 30 Illustrations, black and white
Dimensions
Height: 254 mm
Width: 178 mm
Thickness: 14 mm
Weight
458 gr
ISBN-13
978-1-032-90399-6 (9781032903996)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
01/2025
1st Edition
CRC Press
€185.99
Available for download
Book
01/2025
1st Edition
CRC Press
€205.20
Shipment within 10-20 days
E-Book
01/2025
1st Edition
CRC Press
€185.99
Available for download
Persons
Jun Chen is a leading scientist in geomatics at the Ministry of Natural Resources of China. He became a GIS professor at Wuhan Technical University in the early 1990s and subsequently served as the President of the National Geomatics Center of China. He has led the development of the world's first 30-m global land cover map, GlobeLand30. He served as the President of the International Society of Photogrammetry and Remote Sensing and co-lead of the GEO global land cover task. He is now an honorary member of ISPRS, a fellow of the International Scientific Council, and a member of the Chinese Academy of Engineering.
Dr. Xiaohua Tong is a Professor and Vice President at the Tongji University, China. He received his Ph.D. degree from Tongji University in 1999. From 2001 to 2003, he was a Post-Doctoral Researcher with the State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, at Wuhan University, China. He was a Research Fellow at Hong Kong Polytechnic University in 2006, and a Visiting Scholar at the University of California, USA from 2008 to 2009. He is a member of the Chinese Academy of Engineering. His research interests include trust in spatial data, earth and planetary photogrammetry, and remote sensing.
Dr. Huan Xie is a Professor and the Dean at the College of Surveying and Geo-Information at the Tongji University, China. She received her B.S. degree in Surveying Engineering, and M.S. and Ph. D. degrees in Cartography and Geoinfomation from Tongji University, China, in 2003, 2006, and 2009, respectively. From 2007 to 2008, she was with the Institute of Photogrammetry and GeoInformation, Leibniz Universitaet Hannover, Germany as a visiting scholar. Her research interests include spatial data sampling, data quality of satellite laser altimetry, and fusion of remote sensing Data.
Dr. Lijun Chen has been a senior engineer at the National Geomatics Center of China since 2001. He received his Ph.D. Degree from the State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences in 2001, specializing in Geographic Information Systems and Cartography. At present, he is mainly engaged in scientific research and engineering practice in photogrammetry and remote sensing. He is one of the main developers of GlobeLand30, a global land cover data product.
Dr. Songnian Li is a professor of Geomatics Engineering in the Department of Civil Engineering at Toronto Metropolitan University. He holds a Ph.D. degree from the University of New Brunswick, Canada. Prof. Li served on the council of the International Society for Photogrammetry and Remote Sensing (ISPRS) (2016-2022), was a twice-invited Researcher by the Japan Society for the Promotion of Science, and received the 2016 ISPRS U.V. Helava Best Paper Award. He is an ISPRS Fellow and the Executive Editor-in-Chief of Big Earth Data journal. His current research focuses on geospatial big data, spatiotemporal analysis, human mobility, geo-collaboration, and smart cities (digital twins).
Dr. Xiaohua Tong is a Professor and Vice President at the Tongji University, China. He received his Ph.D. degree from Tongji University in 1999. From 2001 to 2003, he was a Post-Doctoral Researcher with the State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, at Wuhan University, China. He was a Research Fellow at Hong Kong Polytechnic University in 2006, and a Visiting Scholar at the University of California, USA from 2008 to 2009. He is a member of the Chinese Academy of Engineering. His research interests include trust in spatial data, earth and planetary photogrammetry, and remote sensing.
Dr. Huan Xie is a Professor and the Dean at the College of Surveying and Geo-Information at the Tongji University, China. She received her B.S. degree in Surveying Engineering, and M.S. and Ph. D. degrees in Cartography and Geoinfomation from Tongji University, China, in 2003, 2006, and 2009, respectively. From 2007 to 2008, she was with the Institute of Photogrammetry and GeoInformation, Leibniz Universitaet Hannover, Germany as a visiting scholar. Her research interests include spatial data sampling, data quality of satellite laser altimetry, and fusion of remote sensing Data.
Dr. Lijun Chen has been a senior engineer at the National Geomatics Center of China since 2001. He received his Ph.D. Degree from the State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences in 2001, specializing in Geographic Information Systems and Cartography. At present, he is mainly engaged in scientific research and engineering practice in photogrammetry and remote sensing. He is one of the main developers of GlobeLand30, a global land cover data product.
Dr. Songnian Li is a professor of Geomatics Engineering in the Department of Civil Engineering at Toronto Metropolitan University. He holds a Ph.D. degree from the University of New Brunswick, Canada. Prof. Li served on the council of the International Society for Photogrammetry and Remote Sensing (ISPRS) (2016-2022), was a twice-invited Researcher by the Japan Society for the Promotion of Science, and received the 2016 ISPRS U.V. Helava Best Paper Award. He is an ISPRS Fellow and the Executive Editor-in-Chief of Big Earth Data journal. His current research focuses on geospatial big data, spatiotemporal analysis, human mobility, geo-collaboration, and smart cities (digital twins).
Content
1. Introduction. 2. Sampling Design. 3. Reference Data. 4. Sample Judgement. 5. Accuracy Assessment. 6. Software Tools for Validation. 7. Collaborative GlobeLand30 Validation. 8. Conclusion.