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About This Book.. 1 Introduction.. 2 What is the Main Aim of This Book?.. 3 Who is the Book Aimed At?.. 4 How to Use This Book?.. 5 QGIS Exercises: Software, Study Areas and Data.. 6 Review of Land Use Cover Datasets.. References.. Part I Concepts, Data and Validation Land Use Cover Mapping, Modelling and Validation. A Background .. 1 Introduction.. 2 Land Use versus Land Cover.. 3 Land Use and Land Cover Mapping: A History.. 4 Uses of LUC Data.. 5 Land Change Science.. 6 Land Use and Land Cover Change Modelling.. 7 Uncertainty and Validation.. 8 Conclusions.. References.. Validation of Land Use Cover Maps: A Guideline.. 1 Introduction.. 2 Validation Methods/Functions and Exercises Presented in Part III of This Book.. 3 Validation of Single Land Use Cover Maps.. 4 Validation of Land Use Cover Maps Series/Land Use Cover Changes.. 5 Validation of Land Use Cover Change Modelling Exercises.. References.. Land Use Cover Datasets: A Review.. 1 Introduction.. 2 The Producers of LUC Data.. 3 Land Use Cover Maps.. 4 Reference Land Use Cover Data.. References.. Part II Data Access and Visualization Visualization and Communication of LUC Data.. 1 Introduction.. 2 Geometric Signs.. 3 Visual Variables.. 4 Representing Nominal LUC Data.. 5 Representing LUC Quantitative Data.. 6 Representing Qualitative and Quantitative LUC Data.. 7 Representing LUC Changes.. 8 New Forms of Visualizing and Communicating LUC Data.. 9 Conclusions.. References.. Sample Data for Thematic Accuracy Assessment in QGIS.. 1 Sample Size Estimation and Spatial Distribution of Sampling Sites in a Stratified Randomised Design.. 2 Collection of Reference Data for Assessing the Accuracy of a Thematic Map.. References.. Part III Tools to Validate Land Use Cover Maps: A Review Basic and Multiple-Resolution Cross-Tabulation to Validate Land Use Cover Maps.. 1 Basic Cross-Tabulation.. 2 Multiple-Resolution Cross-Tabulation.. References.. Metrics Based on a Cross-Tabulation Matrix to Validate Land Use Cover Maps.. 1 Change Statistics.. 2 Areal and Spatial Agreement Metrics.. 3 Kappa Indices.. 4 Agreement Between Maps at Overall and Stratum Level.. 5 Accuracy Assessment Statistics.. References.. Pontius Jr. Methods Based on a Cross-Tabulation Matrix to Validate Land Use Cover Maps.. 1 Null Model.. 2 LUCC Budget.. 3 Quantity and Allocation Disagreement.. 4 Figure of Merit (FoM) and Complementary Producer’s and User’s Accuracy.. 5 Incidents and States.. 6 Intensity Analysis.. 7 Flow Matrix.. References.. Validation of Soft Maps Produced by a Land Use Cover Change Model.. 1 Correlation.. 2 Receiver Operating Characteristic (ROC).. 3 Difference in Potential (DiP).. 4 Total Uncertainty, Quantity Uncertainty, Allocation Uncertainty.. References.. Spatial Metrics to Validate Land Use Cover Maps.. 1 Spatial Metrics.. References.. Advanced Pattern Analysis to Validate Land Use Cover Maps.. 1 Map Curves.. 2 Change on Pattern Borders.. 3 Allocation Error Distance.. References.. Geographically Weighted Methods to Validate Land Use Cover Maps.. 1 Overall, User’s and Producer’s Accuracy Through GWR.. References.. Part IV Land Use Cover Datasets: A Review Global General Land Use Cover Datasets with a Single Date.. 1 UMD LC Classification—University of Maryland Land Cover Classification.. 2 GLCC 2.0 Global—Global Land Cover Characterization 2.0.. 3 GLC2000—Global Land Cover 2000.. 4 Geo-Wiki Hybrid.. 5 LADA LUC Map—Land Degradation Assessment in Drylands.. 6 GLC-SHARE—Global Land Cover-SHARE.. 7 OSM Landuse/Landcover.. References.. Global General Land Use Cover Datasets with a Time Series of Maps.. 1 GLASS-GLC—Global Land Surface Satellite-Global Land Cover.. 2 LC-CCI—Land Cover-Climate Change Initiative.. 3 GLC30—GlobeLand30.. 4 GLC250—Global Land Cover 250 m.. 5 MCD12Q1—MODIS/Terra + Aqua Land Cover Type.. 6 GLCNMO—Global Land Cover by National Mapping Organization.. 7 GlobCover.. 8 FROM-GLC—Finer Resolution Observation and Monitoring of Global Land Cover.. 9 CGLS-LC100—Copernicus Global Land Service Dynamic Land Cover Map.. References..

General Land Use Cover Datasets for Europe.. 1 HILDA.. 2 CLC—CORINE Land Cover.. 3 PELCOM—Pan-European Land Use and Land Cover Monitoring.. 4 Annual Land Cover Product.. 5 GlobCorine.. 6 Urban Atlas.. 7 N2K—Natura 2000.. 8 Riparian Zones Land Cover/Land Use—Riparian Zones (RZ).. 9 Coastal Zones.. 10 S2GLC 2017—Sentinel-2 Global Land Cover 2017.. References.. General Land Use Cover Datasets for Africa.. 1 West Africa Land Use Land Cover.. 2 SERVIR-ESA—SERVIR Eastern and Southern Africa.. 3 SADC Land Cover Database.. 4 AFRICOVER.. 5 CCI LAND COVER – S2 PROTOTYPE.. 6 Congo Basin Vegetation Types.. References.. General Land Use Cover Datasets for America and Asia.. 1 LBA-ECO LC-08—Land Cover Map of South America.. 2 NALCMS—North American Land Change Monitoring System.. 3 MERISAM2009—MERIS MAP 2009/2010 South America.. 4 The Himalaya Regional Land Cover Database.. References.. Global Thematic Land Use Cover Datasets Characterizing Vegetation Covers.. 1 The World’s Forests 2000.. 2 FCover—Fraction of Green Vegetation Cover.. 3 Hybrid Forest Mask 2000.. 4 SYNMAP Global Potential Vegetation.. 5 GFCC—Global Forest Cover Change (GFCC30TC and GFCC30FCC).. 6 Hansen Forest Map—Global Forest Change 2000–2019.. 7 MODIS Vegetation Continuous Fields—MOD44B.. 8 PTC Global Version—Percent Tree Cover Global Version.. 9 FNF—Global Forest Non-Forest Map.. 10 Forests of the World 2010.. 11 TanDEM-X Forest/Non-Forest Map.. References.. Global Thematic Land Use Cover Datasets Characterizing Agricultural Covers.. 1 Global Cropland Extent.. 2 IIASA-IFPRI Cropland Map.. 3 GRIPC—Global Rainfed, Irrigated, and Paddy Croplands.. 4 GFSAD1KCM and GFSAD1KCD.. 5 Global Synergy Cropland Map.. 6 UCL—Unified Cropland Layer.. 7 GFSAD30 Cropland Extent.. 8 ASAP Land Cover Masks.. References.. Global Thematic Land Use Cover Datasets Characterizing Artificial Covers.. 1 Global Urban Land.. 2 GHSL (Global Human Settlement Layer)—Built-up Area.. 3 GAIA—Global Artificial Impervious Areas, GUB—Global Urban Boundaries.. 4 Global Urban Expansion 1992–2016.. 5 ISA—Global Inventory of the Spatial Distribution and Density of Constructed Impervious Surface Area.. 6 HBASE and GMIS (Global High Resolution Urban Data from Landsat).. 7 GUF—Global Urban Footprint.. 8 WSF—World Settlement Footprint.. 9 GISM—Global Impervious Surface Map.. References.. Supra-National Thematic Land Use Cover Datasets.. 1 Insular Southeast Asia—Forest Cover Map.. 2 Continental Southeast Asia—Forest Cover Map.. 3 Congo Basin Monitoring Maps.. 4 MARS Crop Mask Over Africa.. 5 HRL—High Resolution Layers.. 6 ESM—European Settlement Map.. References

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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. Inglés