Kooperativer Bibliotheksverbund

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Format: 1 online resource (460 pages)

ISBN: 3-030-90998-0

Content: 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.

Note: 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 Ariège Valley (France) -- 5.4.3 Marqués 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. , 3.3.2 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. , 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 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. García-Álvarez et al. (eds.), Land Use Cover Datasets and Validation Tools, https://doi.org/10.1007/978-3-030-90998-7_1. , English

Additional Edition: ISBN 3-030-90997-2

Language: English

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Format: XXIV, 525 p. 158 illus., 66 illus. in color. , online resource.

ISBN: 9783319608013

Series Statement: Lecture Notes in Geoinformation and Cartography,

Content: This book provides a detailed overview of the concepts, techniques, applications, and methodological approaches involved in land use and cover change (LUCC) modeling, also known simply as land change modeling. More than 40 international experts in this field have participated in this book, which illustrates recent advances in LUCC modeling with examples from North and South America, the Middle East, and Europe. Given the broad range of geomatic approaches available, it helps readers select the approach that best meets their needs. The book is structured into five parts preceded by a foreword written by Roger White and a general introduction. Part I consists of four chapters, each of which focuses on a specific stage in the modeling process: calibration, simulation, validation, and scenarios. It presents and explains the fundamental ideas and concepts underlying LUCC modeling. This is complemented by a comparative analysis of the selected software packages, practically applied in various case studies in Part II and Part III. Part II discusses recently proposed methodological developments that have enhanced modeling procedures and results while Part III offers case studies as well as interesting, innovative methodological proposals. Part IV revises different fundamental techniques used in LUCC modeling and finally Part V describes the best-known software packages used in the applications presented in Parts II and III.

Note: Geomatic Approaches for Modeling Land Change Scenarios -- Part I: LUCC Modeling Approaches to Calibration -- The Simulation Stage in LUCC Modeling -- Techniques for the Validation of LUCC Modeling Outputs -- LUCC Scenarios -- Part II: Obtaining and Comparing Factors in Land Change Models Using One or Two Time Points Based Calibration -- Impact and Integration of Multiple Training Dates for Markov Based Land Change Modeling -- Land Use Change Modeling with SLEUTH: Improving alibration with a Genetic Algorithm -- Part III: Urban Land Use Change Analysis and Modeling: A Case Study of the Gaza Strip -- Constraint Cellular Automata for Urban Development Simulation: An Application to the Strasbourg-Kehl Cross-Border Area -- Part IV : Cellular Automaton -- Cellular Automata in CA_MARKOV -- Fuzzy Coincidence -- Part V : A Short Presentation of the Actor, Policy, and Land Use Simulator (APoLUS) -- A Short Presentation of CA_MARKOV.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783319608006

Language: English

Subjects: Geography

DOI: 10.1007/978-3-319-60801-3

URL: http://dx.doi.org/10.1007/978-3-319-60801-3

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (462 p.)

ISBN: 9783030909987

Content: 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

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Format: 46 Bl , nur Kt

Series Statement: Monográfica tierras del sur 16, Mapas

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Format: 211 S , Ill., Kt

Series Statement: Monográfica tierras del sur 16, Text

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ISBN: 8433821121

Series Statement: Monográfica tierras del sur 16

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Keywords: Hochschulschrift

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Format: 1 Online-Ressource.

ISBN: 978-3-030-90998-7

Additional Edition: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-3-030-90997-0

Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-3-030-91000-6

Language: English

DOI: 10.1007/978-3-030-90998-7

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

UID:

Format: 1 Online-Ressource.

ISBN: 978-3-030-90998-7

Additional Edition: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-3-030-90997-0

Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-3-030-91000-6

Language: English

DOI: 10.1007/978-3-030-90998-7

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

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Format: XXII, 390 p. 122 illus., 17 illus. in color. , online resource.

Edition: 1st ed. 2008.

ISBN: 9783540684985

Series Statement: Environmental Science,

Content: Modelling environmental dynamics is critical to understanding and predicting the evolution of the environment in response to the large number of influences including urbanisation, climate change and deforestation. Simulation and modelling provide support for decision making in environmental management. The first chapter introduces terminology and provides an overview of methodological modelling approaches which may be applied to environmental and complex dynamics. Based on this introduction this book illustrates various models applied to a large variety of themes: deforestation in tropical regions, fire risk, natural reforestation in European mountains, agriculture, biodiversity, urbanism, climate change and land management for decision support, etc. These case studies, provided by a large international spectrum of researchers and presented in a uniform structure, focus particularly on methods and model validation so that this book is not only aimed at researchers and graduates but also at professionals.

Note: Concepts, Tools and Applications -- Advances in geomatic simulations for environmental dynamics -- Case Studies -- Land use / Land cover change dynamics in the Mexican highlands: current situation and long term scenarios -- Tropical deforestation modelling: comparative analysis of different predictive approaches. The case study of Peten, Guatemala -- Evaluation of prospective modelling methods: fuzzy logics and cellular automaton applied to deforestation in Venezuela -- Prospective modelling of environmental dynamics: A methodological comparison applied to mountain land cover changes -- GIS-supported modelling and diagnosis of fire risk at the wildland urban interface. A methodological approach for operational management -- Participatory modelling of social and ecological dynamics in mountain landscapes subjected to spontaneous ash reforestation -- Land use scenarios: a communication tool with local communities -- Retrospective geomatic landscape modelling. A probabilistic approach -- Simulating greenhouse growth in urban zoning on the coast of Granada (Spain) -- Greenhouses, land use change, and predictive models: MaxEnt and Geomod working together -- Modelling intra-urban dynamics in the Savassi neighbourhood, Belo Horizonte city, Brazil -- Creation and evaluation of development scenarios for metropolitan patterns -- Towards a set of IPCC SRES urban land use scenarios: modelling urban land use in the Madrid region.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783540864141

Additional Edition: Printed edition: ISBN 9783642088056

Additional Edition: Printed edition: ISBN 9783540684893

Language: English

DOI: 10.1007/978-3-540-68498-5

URL: https://doi.org/10.1007/978-3-540-68498-5

UID:

Format: XIV, 462 p. 273 illus., 226 illus. in color. , online resource.

Edition: 1st ed. 2022.

ISBN: 9783030909987

Content: 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.

Note: 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.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783030909970

Additional Edition: Printed edition: ISBN 9783030909994

Additional Edition: Printed edition: ISBN 9783030910006

Language: English

DOI: 10.1007/978-3-030-90998-7

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