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Using
High Spatial Resolution Hyperspectral Imagery to Describe Eelgrass
(Zostera
marina) Landscape Structure in Hood Canal, WA
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To
better manage estuarine resources, it is important to develop a
detailed understanding of the ecological processes and interactions
that control and regulate populations of organisms, such as anadromous
salmon (Oncorhynchus spp.) of the Pacific Northwest (PNW),
that depend at some point in their life history upon the integrity
of estuarine habitats. In Hood Canal and the Strait of Juan de Fuca,
there is considerable evidence (Ames et al., 2000) that juvenile
summer chum salmon (O. keta) rely on “natural beaches, eelgrass
beds and unimpacted drift cells to provide productive, protected
migratory corridors” as they transition from river delta rearing
areas to open-water (Simenstad, 2000). Eelgrass beds form a nearly
“continuous band” around the lower intertidal and sub tidal regions
of Hood Canal from depths of about +1.8 m to –6.6 m (Phillips, 1984).
Many factors can affect the quantity and structure of Hood Canal’s
eelgrass beds and beaches including: filling, excavation, jetty
construction, shoreline development (e.g., bulkhead and dock construction),
vegetation destruction (Simenstad, 2000), and eutrophication. In
turn, these factors can also affect the fitness of migrating salmon
at multiple, interacting spatial and temporal scales (Cracknell,
1999; Simenstad and Cordell, 2000; Simenstad et al., 2000) making
it difficult to predict the consequences of these perturbations.
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The Skokomish River
Delta at the south end of the study area
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| Fortunately,
emerging remote sensing and geographic information system (GIS) technology
provide new analytical and visualization tools that allow fisheries
scientists/managers to integrate multiple spatial data sets over large
geographic areas, thereby achieving a landscape perspective appropriate
to managing fish habitat. |
Composite
of multiple flightlines in the Skokomish Marsh
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| Perhaps
for the first time, it is possible to develop spatial data sets for
relative large areas based on remotely sensed data which describe
eelgrass habitat structure at the spatial scales over which salmon
respond (~ 1 to 5 m). |
Recognizing
the important ecological role that long, relatively thin (~1-5
m) eelgrass corridors play in juvenile summer chum salmon (Oncorhynchus
spp.) migration in Hood Canal, and the limitations of space-borne
remote sensing platforms, we initiated this study to determine
(1) if it is feasible to develop eelgrass habitat coverages at
a spatial scale of 1-2 m using a CASI sensor; and (2) if we could
differentiate between spectrally similar, co-occurring vegetation
(i.e., eelgrass and green macroalgae).
The
broader purpose of this study is to relate the landscape structure
of the intertidal eelgrass to shoreline modifications as a quantitative
index of essential habitat quality for migrating juvenile summer
chum salmon. Since we planned to incorporate resulting data into
GIS, we were also interested in determining if the CASI imagery
(a two-dimensional, charge couple device, array based push broom
imaging spectrograph) could be geometrically corrected to approximately
the same spatial scale as the image resolution. (~5- 10 m).
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Study Area
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The
ability to resolve estuarine habitat features depends on the spatial
and spectral resolution of the imagery.
IR-like
image generated from 3 of the 21 hyperspectral bands
100 pixel (450 m) test
blocks for vegetation assessment Notice thin strip of eelgrass/algae
at waterline
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Mission Planning
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Collecting Radiometric
Data
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EcoTrust's
Beaver
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Sampling
Estuarine Plant Communities
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| Results |
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We
collected 19-band CASI imagery along the shoreline of Hood Canal
during (+/- 3 hr) a spring low tide series from 29 June to 5 July
2000. We collected 145 overlapping flightlines ranging in length
from approximately 0.9 to 20.0 km along most (~70%) of the shoreline
Each pixel represented an area of 2.25 m^2 on the ground. Initial
processing of 19 flightlines in four non-contiguous focal areas
covered approximately 84.3 km of Hood Canal shoreline. 
We
geocorrected the CASI imagery to +/- 4.8m to 23.5 m RMSE using GCP
targets and DOQ features visible in the imagery.
We
found good agreement between classified eelgrass polygons and existing
eelgrass beds. For the most of the other habitat classes, there
was also good agreement except for the oyster bed cover class (Focal
Areas 1-3) and the Brown Algae class (FocalArea 4). Our inability
to correctly separate oyster beds from wet sand/gravel/cobble and
brown algae was most likely due to the relatively low number of
training sites. In addition, ‘’sand’ and ‘mixed sand/gravel’ classes,
separated in Focal Area 4, were combined in Focal Areas 1-3 primarily
due to differing degrees of wetness. We did not pursue improving
the classification of non-eelgrass habitat types since they were
not the primary objective of this study.
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This
study was performed with the help of numerous volunteers and in
cooperation
with
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Reports
and Publications
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Final Report :
Habitat
Technical Report: Assessment of Intertidal Eelgrass Habitat Landscapes
for Threatened Salmon in the Hood Canal and Eastern Strait of Juan
de Fuca, Washington State
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Charles
'Si' Simenstad
Wetland
Ecosystem Team
School of Fisheries
University of Washington
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Assessment
of Estuarine and Nearshore Habitats for Threatened Salmon Stocks
in the Hood Canal and Eastern Strat of Juan de Fuca, Washington
State: Focal Area. Technical Report, Point No Point Treaty Council.
26 pages + Figures.
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Garono, R. J., R. Robinson,
C. Simenstad, and H. Ripley. In review. Using high spatial resolution
hyperspectral imagery to map intertidal habitat structure in Hood
Canal (WA). Proceedings of the Alliance of Marine Remote Sensing,
Wolfville, Nova Scotia.
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Simenstad, C. A., R. J. Garono,
R. R. Robinson, and P. A. Frost. In press. Landscape analysis of
eelgrass (Zostera marina) habitat structure using remote
sensing: application to assessing impacts of shoreline modifications.
Second Joint Meeting of the Coastal Environment Science and Technology
(CEST) Panel of the United States-Japan Cooperative Program in Natural
Resources (UNJR), 25-29 October 1999, Silver Spring, MD and Charleston,
NC, USA.
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Garono, R. J., C. A. Simenstad,
and R. Robinson. 2000. Using High Spatial Resolution Hyperspectral
Imagery to Describe Eelgrass (Zostera marina) Landscape Structure
in Hood Canal, WA. Proceedings of the 17th International Conference
of The Coastal Society, Portland, OR USA. 582-591.
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| All spatial
data are available from the Point No Point Treaty Council, 7999 NW
Salish Lane, Kingston, WA 98346 (http://www.pnptc.org/).
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Garono,
R. J. and K. McFall. 2001. Spawning Hyperspectral to Save Salmon.
Geospatial Solutions (April 2001) 28-34. |
Contact Information
Wetland & Watershed Assessment Group
Earth Design Consultants, Inc.
230 SW Third St., Suite 212
Corvallis, OR 97333
(541) 757-7896
(541 757-7991 FAX
http://www.earthdesign.com
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