Dr. Dale A. Quattrochi is a remote sensing research scientist with the NASA George C. Marshall Space Flight Center, Earth System Science Division. His recent research has focused on the analysis of land-atmosphere energy exchanges using thermal remote sensing, on the spatial analysis of remote sensing data using fractals, and on the integration of remote sensing data with geographic information systems. His research on thermal remote sensing has focused on the analysis of the urban thermal landscape as an important component in urban climatology and on the study of hydrometeorological interactions within mountain desert terrain. Dr. Quattrochi's work with fractals has been directed towards examining the applications of fractals to remote sensing data as a method for assessing landscape characteristics and changes in these characteristics at different spatial scales. He has also worked with the National Center for Geographic Information and Analysis (NCGIA) to improve the integration of remote sensing and geographic information systems by exploring where impediments to such integration exist, and in developing a research agenda to overcome these impediments.
Dr. Quattrochi is an adjunct faculty member in the geography departments at the University of New Orleans and the Louisiana State University, where he is serving on masters and doctoral degree committees.
M.S., Geography/Remote Sensing, December 1978. The University of Tennessee, Knoxville. Thesis title: "The Verification of Landsat Data in the Geographical Analysis of Wetlands in West Tennessee".
B.S., Geography, June 1973. Ohio University, Athens, OH.
Journal Articles/Book Chapters
Quattrochi, D.A., N. S.-N. Lam, H-L. Qiu, and W. Zhao, 1995. Image Characterization and Modeling System (ICAMS): A geographic information system for the characterization and modeling of multiscale remote sensing data. In Scaling of Remote Sensing Data for GIS, D.A. Quattrochi and M.F. Goodchild, eds. Lewis Publishers, New York, NY (Submitted).
Quattrochi, D.A. and M.K. Ridd, 1995. Analysis of vegetation within an arid urban environment using high spatial resolution airborne thermal infrared remote sensing data. Atmospheric Environment (Submitted).
Quattrochi, D.A. and J.C. Luvall, 1995. Thermal infrared remote sensing data for analysis of landscape ecological processes: Review and prospects. Landscape Ecology (Submitted).
Quattrochi, D.A. and N.S. Goel, 1995. Spatial and temporal scaling of thermal infrared remote sensing data. Remote Sensing Reviews, 12, 255-286.
Quattrochi, D.A. and M.K. Ridd, 1994. Measurement and analysis of thermal energy responses from discrete urban surfaces using remote sensing data. International Journal of Remote Sensing, 15, 1991-2022.
Jaggi, S., D.A. Quattrochi, and N. S.-N. Lam, 1993. Implementation and operation of three fractal measurement algorithms for analysis of remote sensing data. Computers and Geosciences, 19, 745-767.
Quattrochi, D.A., 1993. The need for a lexicon of scale terms in integrating remote sensing data with geographic information systems. Journal of Geography, 92, 206-212.
Lam, N. S.-N. and D.A. Quattrochi, 1992. On the issues of scale, resolution, and fractal analysis in the mapping sciences. The Professional Geographer, 44, 88-98.
Davis, F.W., D.A. Quattrochi, M.K. Ridd, N. S.-N. Lam, S.J. Walsh, J.C. Michaelsen, J. Franklin, D.A. Stow, C.J. Johannsen, and C.A. Johnston, 1991. Environmental analysis using integrated GIS and remotely sensed data: Some research needs and priorities. Photogrammetric Engineering and Remote Sensing, 57, 689-697.
Quattrochi, D.A. and R.E. Pelletier, 1991. Remote sensing for spatial analysis of landscapes: Questions and examples. In Quantitative Methods in Landscape Ecology, M.G. Turner and R.H. Gardner, eds. Springer-Verlag, New York, NY, 51-76.
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