Impervious Surface Change Mapping with an Uncertainty-Based Spatial-Temporal Consistency Model: A Case Study in Wuhan City Using Landsat Time-Series Datasets from 1987 to 2016

Impervious Surface Change Mapping with an Uncertainty-Based Spatial-Temporal Consistency Model: A Case Study in Wuhan City Using Landsat Time-Series Datasets from 1987 to 2016

Detailed information on the spatial-temporal change of impervious surfaces is important for quantifying the effects of rapid urbanization. Free access of the Landsat archive provides new opportunities for impervious surface mapping with fine spatial and temporal resolution. To improve the classifica...

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Bibliographic Details
Main Authors: Lingfei Shi, Feng Ling, Yong Ge, Giles M. Foody, Xiaodong Li, Lihui Wang, Yihang Zhang, Yun Du
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Remote Sensing
Subjects:
Landsat
support vector machine (SVM)
impervious surface
classification uncertainty
uncertainty-based spatial-temporal consistency (USTC) model
temporal consistency (TC) model
Online Access:https://www.mdpi.com/2072-4292/9/11/1148

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