Overview
The purpose of this research is to further develop statistical models of local temperature changes, using Landsat-5 satellite remote-sensing data. The temperature at any location and for any land use is modeled as a function of the pattern of land uses around this location. These models are estimated with data pertaining to the Columbus, Ohio, metropolitan area (CMA). Their applicability to land-use planning and regulation is illustrated by simulating hypothetical land-use changes in part of the CMA, and computing the resulting temperature effects. The results clearly demonstrate that it is possible to reduce temperatures in residential and urban areas through a judicious siting of green areas.
- | Author: Kim Jun-Pill
- | Publisher: LAP Lambert Academic Publishing
- | Publication Date: Jun 16, 2015
- | Number of Pages: 344 pages
- | Binding: Paperback or Softback
- | ISBN-10: 3659744840
- | ISBN-13: 9783659744846
