APPLICATION During the first half of the twentieth century much of the region
surrounding Phoenix, Arizona was converted from natural desert to extensive irrigated agriculture. In recent decades, increasing rates of land use conversion have resulted in extensive change to urban categories of land
use. According to Salt River Project projections, in the next 20 years residential uses will increase by about 30 percent while commercial and industrial uses will nearly double. All of this growth in the urbanized area
of Greater Phoenix must come at the expense of other land uses. Not surprisingly, much of the irrigated agricultural acreage is being converted. This has the effect of warming the earth's surface, and near surface air
temperature, in the metropolitan area as a function of land use development. This produces a daytime metropolitan temperature field much closer to that of the surrounding natural desert. The relatively high resolution of
Landsat remotely sensed thermal data have proven to be useful in assessing temperature patterns of urban environments at the neighborhood scale. In addition, this image analysis has observed a strong correlation between
patterns of environmental temperature and surface rates of evapotranspiration, where these rates of evapotranspiration are portrayed, in large, part by biomass as represented in the normalized difference vegetation index.
Spatial patterns of energy demand and human comfort associated with ambient temperatures did not correlate well with traditional categories of mapped land use (e.g., high, medium and low density residential). The use of a
multispectral classification of remotely sensed data did prove useful in identifying categories of environmental surfaces which exhibit relatively homogenous temperature patterns within the city. These classified categories
were found to be associated with identifiable biophysical surface conditions, and were associated with identifiable land use and land cover categories (e.g., irrigated residential, xeriscaped residential, etc.). |