A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Estimation and Mapping of Impervious Surfaces
This chapter provides a summary of the current research on urban impervious surface estimation and mapping. It focuses on the examination of sub‐pixel estimation techniques, including linear spectral mixture analysis (LSMA), artificial neural networks, and fuzzy classifiers. The chapter presents a case study to demonstrate the capability of two conventional methods (LSMA and multilayer perceptron) for impervious surface estimation using Hyperion imagery. Satellite remote sensing provides a cost‐effective and time‐efficient way for impervious surface mapping. Medium spatial resolution imagery has been utilized for large‐area mapping, and high spatial resolution imagery, air photos, and Light Detection and Ranging data for extracting urban features. Numerous methods have been developed and applied in previous studies based on per‐pixel, sub‐pixel, and object‐based algorithms. However, fewer studies have examined the spectral diversity of impervious surfaces. Hyperspectral imagery with rich spectral information is suitable for spectral analysis and should be extensively employed in future studies.
Estimation and Mapping of Impervious Surfaces
This chapter provides a summary of the current research on urban impervious surface estimation and mapping. It focuses on the examination of sub‐pixel estimation techniques, including linear spectral mixture analysis (LSMA), artificial neural networks, and fuzzy classifiers. The chapter presents a case study to demonstrate the capability of two conventional methods (LSMA and multilayer perceptron) for impervious surface estimation using Hyperion imagery. Satellite remote sensing provides a cost‐effective and time‐efficient way for impervious surface mapping. Medium spatial resolution imagery has been utilized for large‐area mapping, and high spatial resolution imagery, air photos, and Light Detection and Ranging data for extracting urban features. Numerous methods have been developed and applied in previous studies based on per‐pixel, sub‐pixel, and object‐based algorithms. However, fewer studies have examined the spectral diversity of impervious surfaces. Hyperspectral imagery with rich spectral information is suitable for spectral analysis and should be extensively employed in future studies.
Estimation and Mapping of Impervious Surfaces
Weng, Qihao (author)
2019-11-01
22 pages
Article/Chapter (Book)
Electronic Resource
English
Estimation of Impervious Curve Numbers
| NTIS | 2000
Book Review -- Remote Sensing of Impervious Surfaces
Online Contents | 2008
Bacterial Indicator-Species Survival on Impervious Surfaces
| British Library Conference Proceedings | 2010
Assessment of Impervious Surface Estimation Techniques
| British Library Online Contents | 2009