Optical and SAR Remote Sensing of Urban Areas

A Practical Guide

AvCourage Kamusoko

Inbunden, Engelska, 2021

Del i serien Springer Geography

851 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2021-12-03
Mått:210 x 279 x 14 mm
Vikt:528 g
Format:Inbunden
Språk:Engelska
Serie:Springer Geography
Antal sidor:119
Förlag:Springer Verlag, Singapore
ISBN:9789811651489

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Geografi inom Naturvetenskap och teknik

Mer om författaren

Courage Kamusoko is an independent geospatial consultant based in Japan. His expertise includes land use and cover change modeling, and the design and implementation of geospatial database management systems. His primary research involves analyses of remotely sensed images, land use and cover modeling, and machine learning. In addition to his focus on geospatial research and consultancy, he has dedicated his time to teaching practical machine learning for geospatial analysis and modeling. Recently, he published the book Remote Sensing Image Classification in R (Springer).

Innehållsförteckning

- Geospatial Machine Learning in Urban Areas: Challenges and Prospects.- Exploratory Analysis and Transformation for Remotely-Sensed Imagery.- Mapping Urban Land Cover using Multi-seasonal Sentinel-2 Imagery, Spectral and Texture Indices.- Mapping Urban Land Cover using Multi-seasonal Sentinel-1 Imagery and Texture Indices.- Improving Urban Land Cover Mapping.- Land Cover Classification Accuracy Assessment.- Appendix.