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mapping 2000 2010 impervious surface change in india using global land survey landsat dataUnderstanding and monitoring the environmental impacts of global urbanization requires better urban datasets. Continuous field impervious surface change (ISC) mapping using Landsat data is an effective way to quantify spatiotemporal dynamics of urbanization. It is well acknowledged that Landsat-based estimation of impervious surface is subject to seasonal and phenological variations. The overall goal of this paper is to map 200-02010 ISC for India using Global Land Survey datasets and training data only available for 2010. To this end, a method was developed that could transfer the regression tree model developed for mapping 2010 impervious surface to 2000 using an iterative training and prediction (ITP) approach An independent validation dataset was also developed using Google Earth imagery. Based on the reference ISC from the validation dataset, the RMSE of predicted ISC was estimated to be 18.4%. At 95% confidence, the total estimated ISC for India between 2000 and 2010 is 2274.62 +/- 7.84 sq km.
Document ID
Document Type
Reprint (Version printed in journal)
External Source(s)
Wang, Panshi
(Maryland Univ. College Park, MD, United States)
Huang, Chengquan
(Maryland Univ. College Park, MD, United States)
Brown De Colstoun, Eric C.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Date Acquired
August 31, 2017
Publication Date
April 13, 2017
Publication Information
Publication: Remote Sensing
Volume: 9
Issue: 4
Subject Category
Earth Resources and Remote Sensing
Report/Patent Number
Distribution Limits