Titlebook: Optical and SAR Remote Sensing of Urban Areas; A Practical Guide Courage Kamusoko Book 2022 The Editor(s) (if applicable) and The Author(s)

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Hamper

Land Cover Classification Accuracy Assessment,der to implement rigorous accuracy assessment. The good practice recommendations encourage estimation of area based on the reference classification and analysis of information contained in the confusion or error matrix. In this chapter, we are going to use the good practice recommendations based on sampling design, response design, and analysis.

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2194-315X nd SAR data.Uses free and open source software such as QGIS .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

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Book 2022earchers, 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 practica

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Springer Geographyhttp://image.papertrans.cn/o/image/702724.jpg

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https://doi.org/10.1007/978-981-16-5149-6Urban remote sensing; Optical and synthetic aperture radar (SAR) data; Geospatial machine learning; Lan

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978-981-16-5151-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Optical and SAR Remote Sensing of Urban Areas978-981-16-5149-6Series ISSN 2194-315X Series E-ISSN 2194-3168