Mapping Urban Impervious Surface by Fusing Optical and SAR Data at the Decision Level
The proliferation of impervious surfaces results in a series of environmental issues, such as the decrease of vegetated areas and the aggravation of the urban heat island effects. The mapping of impervious surface and its spatial distributions is of significance for the ecological study of urban env...
Main Authors: | Zhenfeng Shao, Huyan Fu, Peng Fu, Li Yin |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-11-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/8/11/945 |
Similar Items
-
Comparison of Random Forest and XGBoost Classifiers Using Integrated Optical and SAR Features for Mapping Urban Impervious Surface
by: Zhenfeng Shao, et al.
Published: (2024-02-01) -
Optical–SAR Data Fusion Based on Simple Layer Stacking and the XGBoost Algorithm to Extract Urban Impervious Surfaces in Global Alpha Cities
by: Muhammad Nasar Ahmad, et al.
Published: (2024-03-01) -
Detecting Changes in Impervious Surfaces Using Multi-Sensor Satellite Imagery and Machine Learning Methodology in a Metropolitan Area
by: Yuewan Wu, et al.
Published: (2023-11-01) -
PRISI: A novel piecewise radar impervious surface index for urban monitoring using Sentinel-1 data
by: Yulin Ding, et al.
Published: (2022-11-01) -
Impervious surface extraction based on different methods from multiple spatial resolution images: a comprehensive comparison
by: Shanshan Feng, et al.
Published: (2021-09-01)