Dr. Scott Goetz

 
Education

PhD  Geography/Remote Sensing/Carbon Modeling, University of Maryland College Park, 1996
MA   Geography/Remote Sensing/Ecosystem Modeling, University of California Santa Barbara, 1987
BA   Geography, Pennsylvania State University, 1982

Research Interests

• Carbon Cycling
• Ecosystem Process Modeling
• Remote Sensing Science & Applications
• Conservation Biogeography
• Boreal & Temperate Ecosystems

• Chesapeake Bay Basin Land Cover / Land Use Monitoring and Assessment
• Development and evaluation of techniques for impervious surface area estimation
• Development of Radar Applications in the Chesapeake Bay Watershed
• Integrating Radar Data with Other Satellite Imagery to Estimate Net Primary Productivity in Fire-Disturbed Boreal Forests
• Mapping the Wetlands of the Chesapeake Bay Watershed
• Projected Land Use Change in the Baltimore - Washington Metropolitan Region: A Modeling Analysis Using Alternative Growth Scenarios
• Remote Sensing Applications for Forest Resource Assessment
• Remote Sensing for Resource Management - The Mid-Atlantic RESAC
• Spatial Predictive Modeling and Remote Sensing of Land Use Change in the Chesapeake Bay Watershed

Representative Papers

S.J. Goetz (2002)

Recent advances in remote sensing of biophysical variables: an overview of the special issue (PDF)
Remote Sensing of Environment, 79(ER2-3):145-146

.

S.J. Goetz, Prince, S.D., and Small, J., (2000)

Advances in satellite remote sensing of environmental variables for epidemiological applications pages 293-311
In Remote sensing and GIS in public health,
S.I. Hay (ed.), Academic Press, London. pp. 293-311.

S.J. Goetz, Prince, S.D., Goward, S.N., Thawley, M.M., Small, J. and Johnston, A., (1999)

Mapping net primary production and related biophysical variables with remote sensing: application to the BOREAS region
Journal of Geophysical Research, 104(22):27719-27733.

S.J. Goetz and S.D. Prince, (1999)

Modeling terrestrial carbon exchange and storage: the evidence for and implications of functional convergence in light use efficiency,
Advances in Ecological Research, 28 : 57-92.

S.J. Goetz, (1997)

Multi-sensor analysis of NDVI, surface temperature and biophysical variables at a mixed grassland site,
International Journal of Remote Sensing, 18(1):71-94.