Using Multi-temporal RS Image and Landscape Metrics to Map Urbanization Process

DOI

10.2991/rsete.2013.69How to use a DOI?

Keywords

multi-temporal remote senisng; urban sprawl; landscape metrics; grid based analysis

Abstract

Multi-temporal remote sensing imagery is widely used to map the urbanization-caused landuse temporal dynamics, which mainly appears as built-up growth. Remote sensing integrated with landscape metrics is also used to quantitatively describe the landscape pattern of the urban area in recent literatures. In this study, we propose a grid-based framework to quantitively map the land development stage in the urban area. Remote sensing classification method is used to obtain thematic landuse maps. Built-up growth is then extracted from the multi-temporal classification results by post-classification change detection. Landscape pattern, which is quantitatively described by landscape metrics, is derived from the thematic landuse maps. A grid-based method is used to analyze the land development stage based on landscape pattern and built-up growth. Finally, the development stage and its temporal changes are mapped.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yetao Yang
AU  - Yingying Wang
PY  - 2013/08
DA  - 2013/08
TI  - Using Multi-temporal RS Image and Landscape Metrics to Map Urbanization Process
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 282
EP  - 285
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.69
DO  - 10.2991/rsete.2013.69
ID  - Yang2013/08
ER  -