دانلود کتاب Optical and SAR Remote Sensing of Urban Areas: A Practical Guide

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Preface
How is this Workbook Organized?
Conventions Used in this Workbook
Data and Online Resources
Contents
1 Geospatial Machine Learning in Urban Environments: Challenges and Prospects
Abstract
1.1 Introduction
1.1.1 Background
1.1.2 Cloud and Desktop Open Source Software Applications
1.2 Study Area and Data
1.2.1 Harare Metropolitan Area
1.2.2 Satellite Imagery
1.2.2.1 Sentinel-1 Data
1.2.2.2 Sentinel-2 Data
1.3 Preliminary Image Processing in GEE
1.3.1 Lab 1. Processing Sentinel-2 Imagery
1.3.2 Lab 2. Exploring Sentinel-1 Imagery
1.3.3 Lab 2(a). Accessing Sentinel-1 Imagery
1.3.4 Lab 2(b). Examining Sentinel-1 Orbit Properties
1.3.5 Lab 2(c). Examining Sentinel-1 Polarization
1.3.6 Lab 2(d). Exporting Sentinel-1 Imagery
1.4 Summary
1.5 Additional Exercises
References
2 Exploratory Analysis and Transformation for Remotely Sensed Imagery
Abstract
2.1 Introduction
2.1.1 Preparing Training Areas
2.1.2 Land Cover Classification Scheme
2.1.3 Spectral and Texture Indices
2.2 Exploratory Data Analysis and Image Transformation
2.2.1 Lab 1. Preparing Training Data
2.2.2 Lab 2. Creating Spectral Plots
2.2.3 Lab 3. Computing Spectral Indices using Sentinel-2 Imagery
2.2.4 Lab 4. Computing Texture Indices using Sentinel-2 Imagery
2.2.5 Lab 5. Computing Texture Indices using Sentinel-1 Imagery
2.3 Summary
2.4 Additional Exercises
References
3 Mapping Urban Land Cover Using Multi-seasonal Sentinel-2 Imagery, Spectral and Texture Indices
Abstract
3.1 Introduction
3.1.1 Background
3.1.2 Land Cover Mapping Using Multi-seasonal Imagery and Other Derived Data
3.2 Land Cover Mapping Labs
3.2.1 Lab 1. Mapping Land Cover Using Multi-seasonal Sentinel-2 Imagery
3.2.2 Lab 2. Mapping Land Cover Using Multi-seasonal Sentinel-2 Imagery and Other Derived Data
3.3 Summary
3.4 Additional Exercises
References
4 Mapping Urban Land Cover Using Multi-Seasonal Sentinel-1 Imagery and Texture Indices
Abstract
4.1 Introduction
4.1.1 Background
4.1.2 Synthetic Aperture Radar (SAR) Basics
4.2 Land Cover Mapping Labs
4.2.1 Lab 1. Mapping Land Cover Using Multi-Seasonal Sentinel-1 Imagery
4.2.2 Lab 2. Mapping Land Cover using Multi-seasonal Sentinel-1 Imagery and Texture Indices
4.3 Summary
4.4 Additional Exercises
References
5 Improving Urban Land Cover Mapping
Abstract
5.1 Background
5.2 Land Cover Mapping Labs
5.2.1 Lab 1. Mapping Land Cover Using Multi-Seasonal Sentinel-1 and Sentinel-2 Imagery
5.2.2 Lab 2. Mapping Land Cover Using Multi-Seasonal Sentinel-1 and Sentinel-2 Imagery and Other Derived Data
5.3 Summary
5.4 Additional Exercises
References
6 Land Cover Classification Accuracy Assessment
Abstract
6.1 Background
6.1.1 Sampling Design
6.1.2 (a) Stratified Random Sampling
6.1.3 (b) Determine Sample Size
6.1.4 Response Design
6.1.5 (a) Spatial Assessment Unit
6.1.6 (b) Sources of Reference Data
6.1.7 (c) Reference Labeling Protocol
6.1.8 (d) Defining Agreement
6.1.9 Analysis
6.1.10 (a) The Confusion (Error) Matrix
6.1.11 (b) Estimating Accuracy
6.1.12 (c) Estimating Area
6.2 Performing Accuracy Assessment
6.2.1 Lab 1. Sample Design
6.2.2 Lab 2. Response Design
6.3 Summary
6.4 Additional Exercises
References
Appendix_1
A.1. Additional Learning Resources