A brightness-darkness-greenness model for monitoring urban landscape evolution in a developing country - A case study of Shanghai

Wenze Yue, Xin Yue Ye, Jianhua Xu, Lihua Xu, Jay Lee

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

To monitor and model the evolution of urban landscapes, we develop a brightness-darkness-greenness (B-D-G) model. It is based on the vegetation-impervious surface-soil (V-I-S) model, proposed by Ridd (1995) to simplify urban environments to three basic ground components. The model integrates the knowledge of urban landscape composition and spectra of remote sensing. The B-D-G model is a fast and effective method to analyze urban landscape composition and its evolution based on remotely sensed images, by employing an explicit endmember evolution implication via the endmember spectrum dynamics. We verify this new method through in situ measurements of spectrum and high resolution images. Then, B-D-G model is used to detect the pattern and types of urban renewal. Despite some limitations, B-D-G model provides a new perspective of modeling urban dynamics and monitoring urban landscape evolution.

Original languageEnglish (US)
Pages (from-to)13-17
Number of pages5
JournalLandscape and Urban Planning
Volume127
DOIs
StatePublished - Jul 2014
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Nature and Landscape Conservation
  • Management, Monitoring, Policy and Law
  • Ecology
  • Urban Studies

Keywords

  • Brightness-darkness-greenness (B-D-G) model
  • Shanghai
  • Urban remote sensing
  • Vegetation-impervious surface-soil (V-I-S) model

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