Mapping 2000–2010 Impervious Surface Change in India Using Global Land Survey Landsat Data
Mapping 2000–2010 Impervious Surface Change in India Using Global Land Survey Landsat Data
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Date
2017-04-13
Authors
Wang, Panshi
Huang, Chengquan
Brown de Colstoun, Eric C.
Advisor
Citation
Wang, P.; Huang, C.; Brown de Colstoun, E.C. Mapping 2000–2010 Impervious Surface Change in India Using Global Land Survey Landsat Data. Remote Sens. 2017, 9, 366; doi:10.3390/rs9040366
DRUM DOI
Abstract
Understanding 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 2000–2010 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) approachAn 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 km2.
Notes
Partial funding for Open Access provided by the UMD Libraries' Open Access Publishing Fund.