International Archives of the Photogrammetry, Remote Sensing
Results indicated differences in photo interpreters were not
as important as the degree of human influence on the
landscape. This information provides resource managers
with information that can be used in the development of
management plans for preserving forest communities in
national parks.
Hemlock Edge Density
i ££
i] gl Hexion Mu
i 8 Hemlock
[ESP IT ruri
Edge Density
penas fa
tH E
WECO SIBA THMO
Figure 16. Edge density for hemlock patches was
significantly lower for exterior quads (WECO and GATL),
while interpreter differences were not significant.
Hemlock Mean Shape Index
AD vosmet semi pe SS IS SE ARS ame ven apes
we r +
x»: -
pay al
2 2
v i
S d
i |
WECO SIBA THMO
Figure 17. Shape index for hemlock patches was
significantly lower for exterior quads (WECO and GATL),
while interpreter differences, again, were not significant.
REFERENCES
Anderson, H.E., 1982. Aids to Determining Fuel Models for
Estimating Fire Behavior. U.S. Department of Agriculture
Forest Service Research Note, INT-122. National Wildfire
Coordinating Group. 22 p.
Dukes, R., 2001. 4 Geographic Information Systems
Approach to Fire Risk Assessment in Great Smoky
Mountains National Park. Master's Thesis, The University
of Georgia, Athens, Georgia. 131 p.
Elkie, P.C., R.S. Rempel and A. P. Carr, 1999. Patch
Analyst User's Manual: A Tool for Quantifying Landscape
Structure. Ontario Ministry of Natural Resources Northwest
Sci. and Techn. Man. TM-002, Thunder Bay, Ontario, 16 p.
Grossman, D.H., D. Faber-Langendoen, A. S. Weakley, M.
Anderson, P. Bourgeron, R. Crawford, K. Goodin, S.
Landaal, K. Metzler, K.D. Patterson, M. Payne, M. Reid and
L Sneddon, 1998. International Classification of Ecological
Communities: Terrestrial Vegetation of the United States.
1292
and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004
Volume I. The Nature Conservancy, Arlington, Virginia,
126 p.
Jordan, T.R.. 2002. Softcopy Photogrammetric Techniques
for Mapping Mountainous Terrain: Great Smoky Mountains
National Park, Doctoral Dissertation, Dept. of Geography,
The University of Georgia, Athens, Georgia, 193 p.
Jordan, T.R., 2004. Control extension and orthorectification
procedures for compiling vegetation databases of national
parks in the southeastern United States. Archives of the
^
ISPRS 20" Congress, Istanbul, Turkey, 12-23 J uly, in press.
Madden, M., 2003. Visualization and analysis of vegetation
patterns in National Parks of the southeastern United States.
In, J. Schiewe, M. Hahn, M. Madden and M. Sester, Eds.,
Proceedings of Challenges in Geospatial Analysis,
Integration and Visualization II, ISPRS Commission IV Joint
Workshop, Stuttgart, Germany: 143-146, online at
http://vww.iuw.univechta.de/personal/gcoinf/jochen/papers/
38.pdf.
Madden, M. D. Jones and L. Vilchek, 1999.
Photointerpretation key for the Everglades Vegetation
Classification System, Photogrammetric Engineering and
Remote Sensing, 65(2), pp.171-177.
Madden, M. and R. Welch, 2004. Fire fuel modeling in
national parks of the Southeast. Proceedings of the ASPRS
Annual Conference, Denver, Colorado, 23-28 May, in press.
McGarigal, K. and B.J. Marks, 1995. FRAGSTATS: Spatial
Pattern Analysis Program for Quantifying Landscape
Structure. General Technical Report PNW-GTR-351. Us.
Department of Agriculture Forest Service, Pacific Northwest
Research Station, Portland, 56 p.
Welch, R., T. Jordan and M. Madden, 2000. GPS surveys,
DEM s and scanned aerial photographs for GIS database
construction and thematic mapping of Great Smoky
Mountains National Park, International Archives of
Photogrammetry and Remote Sensing. Vol. 33, Part B4/3,
pp. 1181-1183.
Welch, R., Madden, M. and R. Doren. 1999. Mapping the
Everglades, Photogrammetric Engineering and Remote
Sensing, 65(2), pp. 163-170.
Welch, R., M. Madden, and R. F. Doren, 2002a. Maps and
GIS databases for environmental studies of the Everglades,
Chapter 9. In, J. Porter and K. Porter (Eds.) The Everglades,
Florida Bay and Coral Reefs of the Florida Keys: An
Ecosystem Sourcebook, CRC Press, Boca Raton, Florida, pp.
259-279.
Welch, R., M. Madden and T. Jordan, 2002b. Photo-
grammetric and GIS techniques for the development of
vegetation databases of mountainous areas: Great Smoky
tountains National Park, ISPRS Journal of Photogrammetry
and Remote Sensing, 57(1-2), pp. 53-68.
Welch, R., M. Remillard and R. Doren, 1995. GIS database
development for South Florida's National Parks and
Preserves, Photogrammetric Engeering and Remote Sensing,
61(11), pp. 1371-1381.
Con
Institu
KEY WOF
ABSTRAC
With the in
on those de
order to be
real-time. T
operations.
may disapp
effects” whe
In this pape
implemente
other, but s
elementary :
elementary |
for line genc
1.
The present:
basic require
processes. Ir
by the serie
1:10.000 to
operations a
from the givi
The need f
recently cam
to present :
typically usc
strong need
only a reduc
As the small
storage capa
resolutions,
information 2
This was the
method for
information i
through a po
streaming. W
client, first o
an overall im
will be increr
whole scene i