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

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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:	Shi, Lingfei, Ling, Feng, Ge, Yong, Foody, Giles M., Li, Xiaodong, Wang, Lihui, Zhang, Yihang, Du, Yun
Format:	Article
Published:	MDPI 2017
Subjects:	Landsat; support vector machine (SVM); impervious surface; classification uncertainty; uncertainty-based spatial-temporal consistency (USTC) model; temporal consistency (TC) model
Online Access:	https://eprints.nottingham.ac.uk/48232/

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