Research Ecologist
B.S., Natural Resources, University of Michigan, 1989
M.S., Forestry,
University of Wisconsin, 1992
Ph.D., Natural Resources, University of New
Hampshire, 2000
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Remote Sensing (hyperspectral, SAR)
Forest Ecology
Ecological Land
Classification
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Current research focuses on the potential of airborne and satellite-based imaging
spectrometers (hyperspectral remote sensing) to detect complex ecosystem processes
such as forest productivity and biogeochemical cycling, and on field-based studies
to examine important environmental controls on these processes. The approach
integrates high spectral resolution image data from
NASA's Airborne Visible and Infrared
Imaging Spectrometer (AVIRIS) and the space-based
EO-1 Hyperion, with
extensive field measurements of foliar chemistry, nitrogen cycling, forest
productivity, soil chemistry, and land-use. Study sites include the White
Mountains, NH, the Catskill Mountains, NY, the Bago-Maragale State Forest, NSW,
Australia, and most recently a series of carbon flux measurement sites along a
boreal to tropical gradient ranging from Howland, Maine to Santarem, Brazil.
The latter project, funded by NASA, is also one component of the upcoming
(summer 2003) airborne sciences campaign of the
Large Scale Biosphere-Atmosphere
Project in Amazonia (LBA).
More information on results from the White Mountains may be found at http://www.mapbgc.sr.unh.edu/ .
(top)1. Smith, M.L., M.E. Martin, S.V. Ollinger, and L. Plourde. Analysis of hyperspectral data for estimation of temperate forest canopy nitrogen concentration: comparison between an airborne (AVIRIS) and a spaceborne (HYPERION) sensor. IEEE Transactions on Geosciences and Remote Sensing, in review.
2. Turner, D.P., M.L. Smith, S. Ollinger, O. Krankina, M. Gregory. Scaling net primary production to a MODIS footprint in support of Earth Observing System product validation. International Journal of Remote Sensing, in review.
3. Coops, N.C., M.L. Smith, K. Jacobsen, M.E. Martin, and S.V. Ollinger. Estimation of plant and leaf area index using three techniques in mature native eucalypt canopies. Austral Ecology, in review.
4. Coops, N.C., M.L. Smith, M.E. Martin, and S.V. Ollinger. Prediction of eucalypt foliage nitrogen content from satellite derived hyperspectral data. IEEE Transactions on Geosciences and Remote Sensing, in review.
5. Aber, J.D., C.L. Goodale, S.V. Ollinger, M.L. Smith, A.H. Magill, M.E. Martin, R.A. Hallett, J.L. Stoddard and NERC Participants. Is nitrogen deposition altering the nitrogen status of northeastern forests? Bioscience, in review.
6. Coops, N.C., S. Drury, M.L.Smith, M.E. Martin, and S.V. Ollinger. 2002. Comparison of green leaf eucalypt spectra using spectral decomposition. Australian Journal of Botany, in press.
7. Smith, M.L.,S.V. Ollinger, M.E. Martin, J.D. Aber, R.A. Hallett, and C.L Goodale. 2002. Direct estimation of aboveground forest productivity through hyperspectral remote sensing of canopy nitrogen. Ecological Applications, in press.
8. Ollinger, S.V., M.L. Smith, M.E. Martin, R.A. Hallett, C.L. Goodale, J.D. Aber. 2002. Regional variation in foliar chemistry and soil nitrogen status among forests of diverse history and composition. Ecology 83(2): 339-355
9. Smith, M.L.(ed.) 2002.Proceedings of the Land Type Associations Conference: development and use in natural resources management, planning, and research; 2001 April 24-26; Madison, WI. Gen. Tech. Rep. NE-294. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northeastern Research Station. 117p.
10. Smith, M.L.and M.E. Martin. 2001. A plot-based method for rapid estimation of forest canopy chemistry. Canadian Journal of Forest Research 31:549-555
11. Ollinger, S.V., M.L. Smith, M.E. Martin, R.A. Hallett, J.D. Aber. 2001. Regional variation in foliar chemistry and soil nitrogen status among forests of diverse history and composition. Ecology, in press.
12. Martin, M.E., M.L. Smith, S.V. Ollinger, R.A. Hallett, C.L. Goodale, S.W. Bailey, J.D. Aber. 1999. Applying AVIRIS at the sub-regional scale: forest productivity and nitrogen and cation cycling. Pp. 275-279 in R.O. Green (ed.) Summaries of the 8th JPL Airborne Earth Science Workshop. NASA JPL Publication 99-17.
13. Scott, C.T., L.E. Tyrrell, M.L. Smith, and D.T. Funk. 1998. A monitoring system for Research Natural Areas in the Northeast and Midwest United States. Proc. of the North American Symposium: Toward a Unified Framework for Inventorying and Monitoring Forest Ecosystem Resources, November 1-6, 1998, Guadalajara, Jalisco, Mexico. USDA Forest Service, Rocky Mountain Research Station, RMRS-P-12.
14. Chandler, D.S., R.T. Eckert, L. Falk, J. Kantor, T.D. Lee, D. Moore, M.L. Smith, E. Snyder, D.D. Sperduto, and J. Taylor. 1996. The Biodiversity of New Hampshire. New Hampshire Fish and Game Department, Concord, NH. 215 pp
15. Smith, M.L. and C. Carpenter. 1996. Application of the USDA Forest Service National Hierarchical Framework of Ecological Units at the Subregional Level: the New England-New York example. Environmental Monitoring and Assessment 39:187-198.
16. Leak, W.B. and M.L. Smith. 1996. Sixty years of management and natural disturbance in a New England forested landscape. Forest Ecology and Management 81:63-73.
17. Keys, J., C. Carpenter, S. Hooks, F. Koenig, W.H. McNab, M.L. Smith. 1996. Ecological Units of the Eastern United States-first approximation (map 1: 3,500,000). Atlanta, GA: USDA Forest Service.
18. Smith, M.L. 1995. Community and edaphic analysis of upland northern hardwood communities, central Vermont, USA. Forest Ecology and Management 72: 235-249.
Last revised 9/24/2002