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REMOTE SENSING OF FOREST ECOSYSTEM DYNAMICS:
MEASUREMENTS AND MODELING
Darrel L. Williams, K. Jon Ranson, Robert G. Knox and Elissa R. Levine
iriance in the measured
he priorities for further
on high spectral resolu-
ER on Japan’s ADEOS
Biospheric Sciences Branch, Code 923, NASA Goddard Space Flight Center
Greenbelt, MD 20771 USA
comments on a draft of
Wiley & Sons, 734 pp.
of the landscape, Pro-
ry 1994.
biophysical parameters
University Press, Carn
al AVHRR data, Inter
nment, 25, 295-309.
srties spectra’, Remote
R.VI) for EOS-MODIS,
ues to infer vegetation
nal ISPRS Symposium,
oumal, 93, 403—410.
r York, 565 pp.
getation from satellites,
reflectance and albedo
¡ctance (CSAR) model,
ution Radiometer data,
Earth’s surface for the
5-20,468.
anopies, Proceedings of
nents, in Imaging Spec-
ABSTRACT:
The Forest Ecosystem Dynamics Project at NASA Goddard Space Flight Center is developing an integrated
approach to modeling of forest dynamics encompassing submodels of forest growth and succession, soil
processes and radiation interactions. Remote sensing technology is a key element of this study in that it
provides data for developing, initializing, updating, and validating the models. In this paper we review project
objectives, discuss data collected and models in use, and describe a framework for studying interactions between
the forest growth, soil process and energy interaction components. Remote sensing technology used in the
study includes optical and microwave field, aircraft and satellite-borne instruments. The types of data collected
during intensive field and aircraft campaigns included bidirectional reflectance, thermal emittance and
multifrequency, multipolarization synthetic aperture radar backscatter. Synthetic imagery of derived products
such as forest biomass and NDVI, and collections of ground data are being assembled in a georeferenced data
base. We then use these data to drive or test multidiscipline simulations of forested ecosystems. Enhancements
to our modeling environment permit considerable flexibility in configuring simulations and selecting results for
reporting and graphical display.
INTRODUCTION
The Forest Ecosystem Dynamics (FED) project is being conducted by the Biospheric Sciences Branch within the
Laboratory for Terrestrial Physics at Goddard Space Flight Center, the University of Virginia, and associated
university investigators. The goal of this research is to use forest succession models, soil process models, and
radiation scattering models, combined with ground-based and remotely sensed observations, to improve
understanding of the dynamics of the northern forest ecosystem (Figure 1).
This research program concerns changes within forest ecosystems at local to regional spatial
scales (10 2 to 10 5 meters) and temporal scales ranging from daily to decadal periods (10“ 2 to 10 2 years).
Explanations for spatial patterns and dynamics are sought among mechanisms operating at scales ranging from
those of physiological processes to long term ecological processes (10“ 4 to 10 3 years). The nature and impacts
of these changes, as well as the feedbacks to global climate, are being addressed through the integration of
mathematical models using an object-oriented simulation workbench (see Levine et al., 1993).
The initial focus of the FED project is the North American transition zone between northern
hardwood forests and the boreal forest biome. The boreal forest is one of the earth's major vegetated ecosystems,
accounting for nearly 20% of the terrestrial plant carbon and covering one-sixth of the Earth's land surface
(Bolin, 1986). The northern and southern margins are especially sensitive to climate change as evidenced by the
northward migration of boreal species since the end of the last Ice Age.
FED MULTISENSOR AIRCRAFT CAMPAIGN
Data to develop and verify models for the FED project come from several sources. The most important sources
have been intensive field campaigns conducted in cooperation with the University of Maine at International
Paper's Northern Experimental Forest at Howland, Maine, USA. Numerous investigators coordinated their
research objectives and activities, and supporting aircraft flights in concentrated Multisensor Aircraft Campaigns
(MACs). This approach not only made for more efficient use of aircraft hours, but it also fostered cross-
collaboration of research activities between scientists of diverse interests and expertise. The research carried out
under the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE) and
the Geological Remote Sensing Field Experiment (GRSFE) are two of the better known examples of NASA
MAC activities. A 1994 special issue of Remote Sensing of Environment highlights results from research
carried out under two NASA sponsored Multisensor Aircraft Campaigns focused on forest ecosystems: the FED
MAC study, which focused on the research site near Howland, Maine and the Oregon Transect