Name: Optical and Sar Remote Sensing of Urban Areas: A Practical Guide (en Inglés)
Price: 1788.18 MXN
Availability: InStock
Author: Kamusoko, Courage
ISBN: 9789811651489

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portada Optical and Sar Remote Sensing of Urban Areas: A Practical Guide (en Inglés)

Formato

Libro Físico

Autor

Courage Kamusoko

Editorial

Springer

Idioma

Inglés

N° páginas

119

Encuadernación

Tapa Dura

Dimensiones

29.2 x 21.6 x 1.3 cm

Peso

0.59 kg.

ISBN13

9789811651489

Categorías

Ciencia y análisis de datos
Geografía humana
Análisis y captura de datos

Optical and Sar Remote Sensing of Urban Areas: A Practical Guide (en Inglés)

Courage Kamusoko (Autor) · Springer · Tapa Dura

Libro Físico

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Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Optical and Sar Remote Sensing of Urban Areas: A Practical Guide (en Inglés)"

This book introduces remotely sensed image processing for urban areas using optical and synthetic aperture radar (SAR) data and assists students, researchers, and remote sensing practitioners who are interested in land cover mapping using such data. There are many introductory and advanced books on optical and SAR remote sensing image processing, but most of them do not serve as good practical guides. However, this book is designed as a practical guide and a hands-on workbook, where users can explore data and methods to improve their land cover mapping skills for urban areas. Although there are many freely available earth observation data, the focus is on land cover mapping using Sentinel-1 C-band SAR and Sentinel-2 data. All remotely sensed image processing and classification procedures are based on open-source software applications such QGIS and R as well as cloud-based platforms such as Google Earth Engine (GEE). The book is organized into six chapters. Chapter 1 introduces geospatial machine learning, and Chapter 2 covers exploratory image analysis and transformation. Chapters 3 and 4 focus on mapping urban land cover using multi-seasonal Sentinel-2 imagery and multi-seasonal Sentinel-1 imagery, respectively. Chapter 5 discusses mapping urban land cover using 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 with land cover classification accuracy assessment.