Characterizing urban sprawl using multi-stage remote sensing images and landscape metrics

By Wei Ji, Jia Ma, Rima Wahab Twibell, Karen K. Underhill. Computers, Environment and Urban Systems, 2006

347 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Health, Toxicology and Mutagenesis

View Paper: https://www.semanticscholar.org/paper/dad9d8e90c5038762dbfb429b6084403ef762891

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. Stefan Siedentop
2. Stefan Fina
3. Thorsten Wiechmann
4. M. Wolff

Citations in the corpus

• Who Sprawls Most? Exploring the Patterns of Urban Growth across 26 European Countries (2012, background): “The improved spatial resolution and quality of digital land-use and land-cover data has opened up new possibilities for the calculation of more detailed spatial metrics (Herold et al, 2002; Ji et al, 2006).”
• Insights to urban dynamics through landscape spatial pattern analysis (2012, neutral): “Population data along with eospatial indices help to characterise the sprawl (Ji et al., 2006) s population is one of the causal factor driving land use changes.”