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Land Use Cover Datasets and Validation Tools

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Cover of 'Land Use Cover Datasets and Validation Tools'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 About This Book
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    Chapter 2 Land Use Cover Mapping, Modelling and Validation. A Background
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    Chapter 3 Validation of Land Use Cover Maps: A Guideline
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    Chapter 4 Land Use Cover Datasets: A Review
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    Chapter 5 Visualization and Communication of LUC Data
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    Chapter 6 Sample Data for Thematic Accuracy Assessment in QGIS
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    Chapter 7 Basic and Multiple-Resolution Cross-Tabulation to Validate Land Use Cover Maps
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    Chapter 8 Metrics Based on a Cross-Tabulation Matrix to Validate Land Use Cover Maps
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    Chapter 9 Pontius Jr. Methods Based on a Cross-Tabulation Matrix to Validate Land Use Cover Maps
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    Chapter 10 Validation of Soft Maps Produced by a Land Use Cover Change Model
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    Chapter 11 Spatial Metrics to Validate Land Use Cover Maps
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    Chapter 12 Advanced Pattern Analysis to Validate Land Use Cover Maps
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    Chapter 13 Geographically Weighted Methods to Validate Land Use Cover Maps
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    Chapter 14 Global General Land Use Cover Datasets with a Single Date
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    Chapter 15 Global General Land Use Cover Datasets with a Time Series of Maps
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    Chapter 16 General Land Use Cover Datasets for Europe
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    Chapter 17 General Land Use Cover Datasets for Africa
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    Chapter 18 General Land Use Cover Datasets for America and Asia
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    Chapter 19 Global Thematic Land Use Cover Datasets Characterizing Vegetation Covers
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    Chapter 20 Global Thematic Land Use Cover Datasets Characterizing Agricultural Covers
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    Chapter 21 Global Thematic Land Use Cover Datasets Characterizing Artificial Covers
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    Chapter 22 Supra-National Thematic Land Use Cover Datasets
  24. Altmetric Badge
    Chapter 23 Correction to: About This Book
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Title
Land Use Cover Datasets and Validation Tools
Published by
Springer International Publishing, February 2022
DOI 10.1007/978-3-030-90998-7
ISBNs
978-3-03-090997-0, 978-3-03-090998-7
Editors

García-Álvarez, David, Camacho Olmedo, María Teresa, Paegelow, Martin, Mas, Jean François

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 19%
Researcher 11 13%
Student > Doctoral Student 6 7%
Student > Master 5 6%
Professor > Associate Professor 4 5%
Other 11 13%
Unknown 33 38%
Readers by discipline Count As %
Environmental Science 22 26%
Earth and Planetary Sciences 11 13%
Agricultural and Biological Sciences 10 12%
Engineering 3 3%
Computer Science 1 1%
Other 6 7%
Unknown 33 38%