Using Remote Sensing and Geographic Information Systems to Study Urban Quality of Life and Urban Forest Amenities

By R. Jensen, J. Gatrell, J. Boulton, Bruce T. Harper. 2004

136 citations recorded by the source corpus.

This study examines urban quality of life by assessing the relationship between observed socioeconomic conditions and urban forest amenities in Terre Haute, Indiana, USA. Using remote-sensing methods and techniques, and ordinary least squares regression, the paper determines the relationship between urban leaf area and a population density parameter with median income and median housing value. Results demonstrate positive correlations between urban leaf area, population density, and their interaction with median income and median housing value. Furthermore, leaf area, density, and their interaction statistically account for observed variance in median income and median housing value, indicating that these variables may be used to study observed quality-of-life metrics. The methods used in this study may be useful to city managers, planners, and foresters who are concerned with urban quality-of-life issues, and who are interested in developing and implementing alternative policy assessment regimes.

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

View Paper: https://www.semanticscholar.org/paper/9b8e1598d8b310346adea0fbd6a16a41b7acf398

Citations in the corpus

• A review of regional science applications of satellite remote sensing in urban settings (2013, unknown): “…of quality of life: the social and the economic dimensions are measured from census data, and the environmental quality of the places inhabited is measured from remotely sensed data (Forster, 1983; Jensen, Gatrell, Boulton, & Harper, 2004; Lo, 1997; Lo & Faber, 1997; Weber & Hirsch, 1992).”