Abstract
NASA’s Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) was used to derive input parameters for a model of forest ecosystem carbon (C) balance. These parameters include canopy nitrogen (N) concentration and foliar biomass predicted with multiple linear regression equations using selected spectral bands, and species composition determined by means of a supervised image classification. The model predicted total net photosynthesis for the study area, the Harvard Forest in Petersham, Massachusetts, with a spatial resolution of 20 m. The model was simulated five times using the input variables of species, foliar N concentration and foliar biomass derived from either field sampling or spectral data. Although the mean value for net photosynthesis over the 400-ha study site was similar when derived from both existing field data and remotely sensed data (656 g C m−2yr−1 and 630 g C m−2yr−1, respectively), the latter provided information on the spatial variability of photosynthesis throughout the study area that was not evident when coarse-scale field data were used.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aber, J.D. and Federer, C.A. 1992. A generalized, lumped-parameter model of photosynthesis, evapotranspiration and net primary production in temperate and boreal forest ecosystems. — Oecologia 92: 463–474.
Aber, J.D., Reich, P.B. and Goulden, M.L. (in review). Extrapolating leaf CO2 exchange to the canopy: A generalized model of forest photosynthesis validated by eddy correlation.
Baldocchi, D.D., Hicks, B.B. and Meyers, T.P. 1988. Measuring biosphere-atmosphere exchanges of biologically related gases with micrometeorological methods. — Ecology 69: 1311–1340.
Clark, R.N., Swayze, G., Heidebrecht, K., Goetz, A.F.H. and Green, R.O. 1993. Comparison of methods for calibrating AVIRIS data to ground reflectance. — In: Green, R.O. (ed). Summaries of the Fourth Annual JPL Airborne Geoscience (AVIRIS) Workshop, October 25–29, 1993, NASA, Jet Propulsion Lab, Pasadena, CA, 1: 35–36.
Fan, S.M., Goulden, M.L., Munger, J.W., Daube, B.C., Bakwins, P.S., Wofsy, S.C., Amthor, J.S., Fitzjarrald, D.R., Moore, K.E. and Moore, T.R. (in review). Environmental controls on the photosynthesis and respiration of a boreal lichen woodland: A growing season of whole-ecosystem exchange measurements by eddy correlation.
Gao, B., Goetz, A.F.H. and Zamudio, J.A. 1991. Removing atmospheric effects from AVIRIS data for surface reflectance retrievals. — In: Green, R.O. (ed). Proceedings of the Third Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Workshop, May 20–21, 1991, NASA, Jet Propulsion Lab, Pasadena, CA, pp. 80–86.
Gao, B., Heidebrecht, K.B. and Goetz, A.F.H. 1992. Atmosphere removal program (ATREM) user’s guide. — Center for the Study of Earth from Space/CIRES, University of Colorado, Boulder, CO, 24 pp.
Gholz, H.L., Curran, P.J., Kupiec, J.A. and Smith, G.M. 1996. Assessing leaf area and canopy biochemistry of Florida pine plantations using remote sensing. — In: Gholz, H.L., Nakane, K. and Shimoda, H. (eds). The Use of Remote Sensing in the Modeling of Forest Productivity. Kluwer Academic Publishers, Dordrecht, The Netherlands, pp. 3–22.
Goward, S.N. and Dye, D.G. 1996. Global biospheric monitoring with remote sensing. — In: Gholz, H.L., Nakane, K. and Shimoda, H. (eds). The Use of Remote Sensing in the Modeling of Forest Productivity. Kluwer Academic Publishers, Dordrecht, The Netherlands, pp. 241–272.
Johnson, D.W. and Lindberg, S.E. 1992. Atmospheric Deposition and Forest Nutrient Cycling. — Springer-Verlag, New York. 707 pp.
Martin, M.E. 1994. “Measurements of laboratory and airborne high spectral resolution visible and infrared data.” — Ph.D. dissertation, University of New Hampshire, Durham, NH. 97 pp.
Martin, M.E. and Aber, J.D. (in review). Estimation of forest canopy lignin and nitrogen concentration and ecosystem processes by high spectral resolution remote sensing.
Myneni, R.B., Hall, F.G., Sellers, P.J. and Marshak, A.L. 1995. The interpretation of spectral vegetation indices. — IEEE Trans. Geosci. Rem. Sens. (in press).
Newman, S.D., Soulia, M.E., Aber, J.D., Dewey, B. and Ricca, A. 1995. Near infrared analyses of forest foliage. 1. Proximate carbon fraction and nitrogen analyses for the Accelerated Canopy Chemistry Program: Methods and quality control. — J. Near Infra. Spectr. (in press).
Peterson, D.L., Spanner, M.A., Running, S.W. and Teuber, K.B. 1987. Relationship of thematic mapper simulator data to leaf area index of temperate coniferous forests. — Rem. Sens. Environ. 22: 323–341.
Prince, S.D. 1991. A model of regional primary production for use with coarse-resolution satellite data. — Int. J. Rem. Sens. 12: 1313–1330.
Reich, P.B. and Walters, M.B. 1992. Leaf life-span in relation to leaf, plant, and stand characteristics among diverse ecosystems. — Ecol. Monogr. 63: 365–392.
Reich, P.B., Kloeppel, B., Ellsworth, D.S. and Walters, M.B. (in review). Different photosynthesis-nitrogen relations in deciduous hardwood and evergreen coniferous tree species.
Reich, P.B., Walters, M.B. and Ellsworth, D.S. 1991. Leaf age and season influence the relationship between leaf nitrogen, leaf mass per area, and photosynthesis in maple and oak trees. — Plant Cell Environ. 14: 251–259.
Running, S.W. and Hunt, E.R. 1993. Generalization of a forest ecosystem process model for other biomes, BIOME-BGC, and an application for global-scale models. — In: Ehleringer, J.R. and Field, C.B. (eds). Scaling Physiological Processes: Leaf to Globe. Academic Press, San Diego, CA, pp. 141–158.
Sellers, P.J., Berry, J.A., Collatz, G.J., Field, C.B. and Hall, F.G. 1992. Canopy reflectance, photosynthesis, and transpiration. 3. A reanalysis using improved leaf models and a new canopy integration scheme. — Rem. Sens. Environ. 42: 187–216.
Verma, S.B. 1990. Micrometeorological methods for measuring surface fluxes of mass and energy. — Rem. Sens. Rev. 5: 99–115.
Wofsy, S.C., Goulden, M.L., Munger, J.W., Fan, S.-M., Bakwin, P.S., Daube, B.C., Bassow, S.L. and Bazzaz, F.A. 1993. Net exchange of CO2 in a mid-latitude forest. — Science 260: 1314–1317.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1997 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Martin, M.E., Aber, J.D. (1997). Estimating Forest Canopy Characteristics as Inputs for Models of Forest Carbon Exchange by High Spectral Resolution Remote Sensing. In: Shimoda, H., Gholz, H.L., Nakane, K. (eds) The Use of Remote Sensing in the Modeling of Forest Productivity. Forestry Sciences, vol 50. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5446-8_3
Download citation
DOI: https://doi.org/10.1007/978-94-011-5446-8_3
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-6290-9
Online ISBN: 978-94-011-5446-8
eBook Packages: Springer Book Archive