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

This book provides a practical guide and hands-on workbook for remote sensing image processing and land cover mapping in urban areas, focusing on Sentinel-1 C-band SAR and Sentinel-2 data. It covers geospatial machine learning, exploratory image analysis, mapping urban land cover using multi-seasonal imagery, and accuracy assessment.

Format: Paperback / softback
Length: 119 pages
Publication date: 04 December 2022
Publisher: Springer Verlag, Singapore

This comprehensive book delves into the realm of remotely sensed image processing for urban areas, utilizing optical and synthetic aperture radar (SAR) data. It serves as a valuable resource for students, researchers, and remote sensing practitioners seeking to explore land cover mapping techniques using such data. While there exist numerous introductory and advanced books on optical and SAR remote sensing image processing, many of them fall short in providing practical guidance for practical applications. However, this book stands out as a practical guide and hands-on workbook, designed to empower users to delve into data and methods, enhancing their land cover mapping skills specifically for urban areas.

Despite the abundance of freely available Earth observation data, the book focuses on land cover mapping using Sentinel-1 C-band SAR and Sentinel-2 data. The entire process of remotely sensed image processing and classification is grounded in open-source software applications such as QGIS and R, as well as cloud-based platforms like Google Earth Engine (GEE).

The book is structured into six chapters, each offering insightful perspectives. Chapter 1 provides an introduction to geospatial machine learning, laying the foundation for subsequent chapters. Chapter 2 delves into exploratory image analysis and transformation, essential tools for preprocessing remotely sensed data. Chapters 3 and 4 specifically focus on mapping urban land cover using multi-seasonal Sentinel-2 imagery and multi-seasonal Sentinel-1 imagery, respectively. Chapter 5 explores the mapping of urban land cover using a combination of multi-seasonal Sentinel-1 and Sentinel-2 imagery, as well as other derived data such as spectral and texture indices. Chapter 6 concludes the book by assessing the accuracy of land cover classification.

By leveraging the power of remotely sensed image processing and leveraging the versatility of open-source software and cloud-based platforms, this book empowers users to unlock the full potential of land cover mapping for urban areas. Whether you are a student, researcher, or remote sensing practitioner, this comprehensive resource will provide you with the knowledge and tools necessary to excel in your field.

Weight: 345g
Dimension: 279 x 210 (mm)
ISBN-13: 9789811651519
Edition number: 1st ed. 2022