Investigate new high spatial resolution remote sensing data to identify, measure, and model changes in urban growth (both density and lateral spread) and repercussions on surrounding natural environment. What impact urban development has on ecosystems and habitat destruction both within city limits and by encroaching on delicate ecosystems. Postdoc will explore the resolutions of new high spatial and spectral resolution data, and how those data are pre-processed, geometrically calibrated, and classified into urban objects and continuous measures of environmental health. Particularly, spatial object-oriented classification (using ENVI IDL) to determine size and shape of urban objects. And tasseled cap transformations to measure greenness indices. Methodologies that integrate GIS data into the classification processes, and rigorous testing of results.