Mapping Urban Transitions Using Multi-Temporal Landsat and DMSP-OLS Night-Time Lights Imagery of the Red River Delta in Vietnam

Miguel Castrence, Duong H. Nong, Chinh C. Tran, Luisa Young and Jefferson Fox
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Miguel Castrence: East-West Center, 1601 East-West Road, Honolulu, HI 96848, USA
Duong H. Nong: Department of Natural Resources and Environmental Management, University of Hawaii, 1901 East-West Road, Honolulu, HI 96822, USA
Chinh C. Tran: Department of Natural Resources and Environmental Management, University of Hawaii, 1901 East-West Road, Honolulu, HI 96822, USA
Luisa Young: International Development, Community and Environment, Clark University, 950 Main Street, Worcester, MA 01610, USA
Jefferson Fox: East-West Center, 1601 East-West Road, Honolulu, HI 96848, USA

Land, 2014, vol. 3, issue 1, 1-19

Abstract: The urban transition that has emerged over the past quarter century poses new challenges for mapping land cover/land use change (LCLUC). The growing archives of imagery from various earth-observing satellites have stimulated the development of innovative methods for change detection in long-term time series. We tested two different multi-temporal remote sensing datasets and techniques for mapping the urban transition. Using the Red River Delta of Vietnam as a case study, we compared supervised classification of dense time stacks of Landsat data with trend analyses of an annual series of night-time lights (NTL) data from the Defense Meteorological Satellite Program-Operational Linescan System (DMSP-OLS). The results of each method were corroborated through qualitative and quantitative GIS analyses. We found that these two approaches can be used synergistically, combining the advantages of each to provide a fuller understanding of the urban transition at different spatial scales.

Keywords: multi-temporal remote sensing; Landsat; DMSP-OLS night-time lights; land-cover/land-use change; urban transition; Vietnam (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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