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Cham : Springer International Publishing AG, 2022

1 online resource (460 pages)

ISBN 9783030909987 (electronic bk.)

ISBN 9783030909970

Print version: Garcia-Alvarez, David Land Use Cover Datasets and Validation Tools Cham : Springer International Publishing AG,c2022 ISBN 9783030909970

509636_1_En_OFC -- Contents -- Editors and Contributors -- 1 About This Book -- Abstract -- 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 -- 5.1 GIS Software -- 5.2 QGIS Plugins -- 5.3 Integrating R into QGIS -- 5.4 Study Areas -- 5.4.1 The Asturias Central Area (Spain) -- 5.4.2 Ariege Valley (France) -- 5.4.3 Marques de Comillas (Mexico) -- 5.5 Data -- 6 Review of Land Use Cover Datasets -- References -- Concepts, Data and Validation -- 2 Land Use Cover Mapping, Modelling and Validation. A Background -- Abstract -- 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 -- 3 Validation of Land Use Cover Maps: A Guideline -- Abstract -- 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 -- 5.1 Soft LUC Maps -- 5.2 Hard LUC Maps -- 5.2.1 Single LUC Maps -- 5.2.2 LUC Maps Series/LUC Changes -- References -- 4 Land Use Cover Datasets: A Review -- Abstract -- 1 Introduction -- 2 The Producers of LUC Data -- 3 Land Use Cover Maps -- 3.1 Platforms and Repositories -- 3.2 General Land Use Cover Maps -- 3.2.1 Global LUC Maps -- The Production Methods -- Accuracy -- Spatial Resolution -- Temporal Resolution -- Classification Schemes -- 3.2.2 Supra-national LUC Maps -- Europe -- Africa -- The Americas -- Asia and Antarctica -- 3.3 Thematic Land Use Cover Datasets -- 3.3.1 Global Thematic LUC Maps Focusing on Vegetation Covers.

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 -- 21 Global Thematic Land Use Cover Datasets Characterizing Artificial Covers -- Abstract -- 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 -- 22 Supra-National Thematic Land Use Cover Datasets -- Abstract -- 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 -- 23 Correction to: About This Book -- Correction to: Chapter "About This Book" in: D. Garcia-Alvarez et al. (eds.), Land Use Cover Datasets and Validation Tools, https://doi.org/10.1007/978-3-030-90998-7_1.

8 FROM-GLC-Finer Resolution Observation and Monitoring of Global Land Cover -- 9 CGLS-LC100-Copernicus Global Land Service Dynamic Land Cover Map -- References -- 16 General Land Use Cover Datasets for Europe -- Abstract -- 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 -- 17 General Land Use Cover Datasets for Africa -- Abstract -- 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 -- 18 General Land Use Cover Datasets for America and Asia -- Abstract -- 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 -- 19 Global Thematic Land Use Cover Datasets Characterizing Vegetation Covers -- Abstract -- 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 -- 20 Global Thematic Land Use Cover Datasets Characterizing Agricultural Covers -- Abstract -- 1 Global Cropland Extent -- 2 IIASA-IFPRI Cropland Map.

3.3.2 Global Thematic LUC Maps Focusing on Agricultural Covers -- 3.3.3 Global Thematic LUC Maps Focusing on Artificial Covers -- 3.3.4 Global Thematic LUC Maps Focusing on Water and Other Covers -- 3.3.5 Supra-national Thematic LUC Maps -- 4 Reference Land Use Cover Data -- Further Reading -- References -- Data Access and Visualization -- 5 Visualization and Communication of LUC Data -- Abstract -- 1 Introduction -- 2 Geometric Signs -- 2.1 Cartographic Projection and LUC Mapping -- 2.2 The Minimum Mapping Unit in LUC Maps -- 2.3 The Modifiable Areal Unit Problem (MAUP) and the Category Aggregation Problem (CAP) -- 3 Visual Variables -- 3.1 Shape -- 3.2 Orientation -- 3.3 Colour Hue -- 3.4 Colour Value -- 3.5 Texture -- 3.6 Size -- 3.7 Visual Variables and Geometric Dimension -- 3.8 Visual Variables and Measurement Level -- 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 -- 6 Sample Data for Thematic Accuracy Assessment in QGIS -- Abstract -- 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 -- Tools to Validate Land Use Cover Maps: A Review -- 7 Basic and Multiple-Resolution Cross-Tabulation to Validate Land Use Cover Maps -- Abstract -- 1 Basic Cross-Tabulation -- 2 Multiple-Resolution Cross-Tabulation -- References -- 8 Metrics Based on a Cross-Tabulation Matrix to Validate Land Use Cover Maps -- Abstract -- 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.

9 Pontius Jr. Methods Based on a Cross-Tabulation Matrix to Validate Land Use Cover Maps -- Abstract -- 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 -- 10 Validation of Soft Maps Produced by a Land Use Cover Change Model -- Abstract -- 1 Correlation -- 2 Receiver Operating Characteristic (ROC) -- 3 Difference in Potential (DiP) -- 4 Total Uncertainty, Quantity Uncertainty, Allocation Uncertainty -- References -- 11 Spatial Metrics to Validate Land Use Cover Maps -- Abstract -- 1 Spatial Metrics -- References -- 12 Advanced Pattern Analysis to Validate Land Use Cover Maps -- Abstract -- 1 Map Curves -- 2 Change on Pattern Borders -- 3 Allocation Error Distance -- References -- 13 Geographically Weighted Methods to Validate Land Use Cover Maps -- Abstract -- 1 Overall, User’s and Producer’s Accuracy Through GWR -- References -- Land Use Cover Datasets: A Review -- 14 Global General Land Use Cover Datasets with a Single Date -- Abstract -- 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 -- 15 Global General Land Use Cover Datasets with a Time Series of Maps -- Abstract -- 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.

001897051

express

(Au-PeEL)EBL6978260

(MiAaPQ)EBC6978260

(OCoLC)1331546388