Gaia Geo-Analytical in collaboration with
Davey Jones Locker GIS Laboratory, Oregon State Universtiy for
Coral Reef Ecosystem Division, NOAA Pacific Islands Fisheries
Science Center, Pacific Islands Benthic Habitat Mapping Center
20090807
Mosaic of gridded multibeam bathymetry and bathymetry derived from
multispectral IKONOS satellite imagery of Tutuila Island, American Samoa, USA
raster digital data
http://www.soest.hawaii.edu/pibhmc/pibhmc_amsamoa_tutuila_bathy.htm
Gridded multibeam bathymetry is integrated with bathymetry derived
from multispectral IKONOS satellite data. Gridded (5 m cell size) multibeam
bathymetry collected aboard NOAA Ship Hiialaka'i and R/V AHI. Bathymetry values
shallower than 25 m were derived by gauging the relative attenuation of blue and
green spectral radiance as a function of depth. A multiple linear regression
analysis of linearized blue and green band spectral values against depth
determined the variables of y-intercept, blue slope and green slope values.
Variables then used in multivariate slope intercept formula to derive
depth. Variables were adjusted to improve the statistical accuracy and
spatial coverage of the final derived bathymetry product. Digital image
processing to derive depths conducted with the ENVI 4.5 software program
while data editing and integration was performed using ArcGIS 9.3. This
dataset is for the shelf environment of Tutuila Island, American Samoa, USA.
The data were derived in support of NOAA Coral Reef Conservation
Program goals. Goal 1 is to map all U.S. Coral Reef Ecosystems.
This data set specifically addresses Objective 1 and 4: to develop
high-resolution benthic maps and to characterize priority deep
water reefs and associated habitats. This integration of derived
bathymetry with multibeam sonar data provides a GIS layer with
expanded spatial coverage that may be used for benthic and essential
fish habitat characterization, and for the study of geologic features.
By combining the dataset with other bathymetry, backscatter, derivatives,
and in situ data, they collectively compose benthic habitat maps
designed to be used to understand and predict shallow depth (0m to 150m)
benthic habitats for organisms that inhabit coral reef ecosystems.
Gridded multibeam data were collected aboard the Hi'ialakai, a 218'
United States National Oceanographic and Atmospheric Administration
(NOAA) research ship, and aboard the R/V AHI (Acoustic Habitat
Investigator), a 25' survey launch owned and operated by the NOAA
Pacific Islands Fisheries Science Center in Honolulu, HI. The
metadata for the bathymetry is documented in the product metadata,
Tutuila_5m.asc.txt
http://www.soest.hawaii.edu/pibhmc/pibhmc_amsamoa_tutuila.htm
Original IKONOS imagery was purchased to support the Pacific Islands
Geographic Information System (GIS) project and National Ocean Service's
(NOS) coral mapping activities. Orthographically corrected IKONOS Imagery
was provided by NOAA's National Centers for Coastal Ocean Science, Center
for Coastal Monitoring and Assessment. The metadata for this IKONOS
imagery is documented in the original product metadata, po_60736_metadata.txt,
po_61091_metadata.txt, PO_65904_METADATA.txt, PO_65907_METADATA.txt and
PO_65909_METADATA.txt. (http://www.soest.hawaii.edu/pibhmc/)
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ground condition
As needed
-170.928197
-170.484814
-14.195351
-14.384053
NCEI Geoportal FilterCoRIS_Metadata
CRCP Project
Benthic Habitat Mapping and Characterization - American Samoa and the U.S. Pacific Remote Island Area
1084
CoRIS Theme Thesaurus
EARTH SCIENCE > Oceans > Bathymetry/Seafloor Topography > Bathymetry
EARTH SCIENCE > Oceans > Bathymetry/Seafloor Topography > Water Depth
EARTH SCIENCE > Biosphere > Zoology > Corals > Reef Monitoring and Assessment > Remote Sensing > Satellite (digital scans) > IKONOS
None
Slope
Bathymetry
Multibeam sonar
ISO 19115 Topic Category
elevation
006
CoRIS Discovery Thesaurus
Geographic Information > Bathymetry
None
Tutuila Island
American Samoa
United States of America
CoRIS Place Thesaurus
OCEAN BASIN > Pacific Ocean > American Samoa > Tutuila Island (14S170W0016)
COUNTRY/TERRITORY > United States of America > American Samoa > American Samoa > Tutuila Island (14S170W0016)
CoRIS Region
AmSam
None
These data are not to be used for navigation
purposes. Please acknowledge NOAA Pacific Islands Fisheries
Science Center, the Joint Institute for Marine and
Atmospheric Research (JIMAR) University of Hawaii and Davey
Jones Locker GIS Laboratory Oregon State University as the
sources of this information.
http://www.soest.hawaii.edu/pibhmc/amsamoa_images/Tut_bathymetry_mb&IKONOS_445.jpg
Gridded Bathymetry
jpeg
NOAA PIFSC CRED, the Pacific Islands Benthic Habitat
Mapping Center and Davey Jones Locker GIS Laboratory
Oregon State University
Not applicable
Unclassified
Not applicable
ArcGIS ASCII file or ArcGIS Grid file,
bathymetry derived from 4x4m multispectral satellite imagery (IKONOS)
using ENVI 4.5, multibeam and derived bathymetry were integrated using
ArcGIS 9.3
Data are collected for resource
management and research purposes and are tested for
internal consistency; however, no effort is made to compare
these data to external references or to other published data.
These data are believed to be logically
consistent though no tests were performed
Complete
Horizontal positioning system: GPS C/A
Horizontal position accuracy: 25 meters
Range resolution of sonar: varies with depth
Raw sounding resolution: varies with depth
Vertical accuracy of gridded sonar product: ~ 1% of water depth
Vertical accuracy of derived bathymetry product: 5 meter range
Multiple tools in ENVI 4.5 were used to complete the following
processing steps: Data conversion from digital number to radiance,
correction for atmosphere and water surface reflection,
linearization of spectral decay as function of depth, masking of
non-applicable values, and bathymetric derivation using variables
from multiple linear regression analysis. Multiple tools in
ArcGIS 9.3 were used for dataset integration and to extract values
for the multiple linear regression analysis and subsequent error
analyses. The statisitcs program S-Plus was used for the multiple
linear regression analysis to provide original variables for depth
derivation. The multivariate slope intercept formula used to
derive depth was Depth=Yint+(Mblue)(Xblue)+(Mgreen)(Xgreen). Seventeen derived
products, four from the image otutu_msi_61091.img (Tut091), two from the
image otutu_msi_60736.img (Tut736), four from the image otutu_msi_65904.img
(Tut904), three from the image otutu_msi_65907 (Tut907) and four from the image
otutu_msi_65909.img (Tut909), were integrated to expand spatial coverage.
The original MLR variables for Tut091 were Yint=19.7602, Mblue=-1.6871, and
Mgreen=12.3928. The product derived from these variables (Tut091_DB) was mosaiced
with three additional products derived using increasingly reduced Y-intercept values
as follows: Yint=15.7602 (Tut091_DB4), Yint=11.7602 (Tut091_DB8), Yint=7.7602
(Tut091_DB12). This was done to increase coverage in shallow areas. More information
on this integration process is provided in the product error analysis, availble from
PIBHMC upon request.
The original MLR variables for Tut736 were Yint=-4.3919, Mblue=-8.6422, and
Mgreen=12.2726. The product derived from these variables (Tut736_DB) was mosaiced
with one additional product (Tut736_DB4) with a decreased Y-intercept value of -8.3919.
This was done to increase coverage in shallow areas. More information
on this integration process is provided in the product error analysis, availble from
PIBHMC upon request.
The original MLR variables for Tut904 were Yint=2.8541, Mblue=-18.3048, and
Mgreen=25.7446. The product derived from these variables (Tut904_DB) was mosaiced
with three additional products derived using increasingly reduced Y-intercept values
as follows: Yint=-1.1459 (Tut904_DB4), Yint=-5.1459 (Tut904_DB8) and Yint=-9.1459
(Tut904_DB12). This was done to increase coverage in shallow areas. More
information on this integration process is provided in the product error analysis,
availble from PIBHMC upon request.
The original MLR variables for Tut907 were Yint=-5.4039, Mblue=-13.7452, and
Mgreen=18.3747. The product derived from these variables (Tut907_DB) was mosaiced with
two additional products derived using increasingly reduced Y-intercept values as follows:
Yint=-9.4039 (Tut907_DB4), Yint=-13.4039 (Tut907_DB8). This was done to increase coverage
in shallow areas. More information on this integration process is provided in the product
error analysis, availble from PIBHMC upon request.
The original MLR variables for Tut909 were Yint=17.1093, Mblue=-1.2295, and
Mgreen=11.0006. The product derived from these variables (Tut909_DB) was mosaiced
with three additional products derived using increasingly reduced Y-intercept values
as follows: Yint=13.1093 (Tut909_DB4), Yint=9.1093 (Tut909_DB8) and Yint=5.1093
(Tut909_DB12). This was done to increase coverage in shallow areas. More
information on this integration process is provided in the product error analysis,
availble from PIBHMC upon request.
The derived bathymetry from each image was in turn mosaiced prioritizing image data in the
following order (highest to lowest): Tut091, Tut909, Tut907, Tut736 and Tut904. Data with
better statistical accuracy was given higher "priority" so that they replaced concurrent
data with lower accuracy during the mosaic process.
This mosaiced derived bathymetry product (Tut_DBall) was then resampled to a 5 meter
grid and integrated with the multibeam sonar data, with sonar data prioritized over the
derived data, to create the final product (Tut_DBMB).
A detailed description of all processing steps is available at:
http://dusk.geo.orst.edu/djl/theses/kyle/Cookbook_042108.pdf
An error analysis of each derived bathymetry grid used is available
upon request.
20090805
Raster
Grid Cell
4162
9559
1
Universal Transverse Mercator
-2
0.999600
-171.000000
0.000000
500000.000000
10000000.000000
Row and Column
5.000000
5.000000
meters
D_WGS_1984
WGS_1984
6378137.000000
298.257224
NOAA PIFSC CRED PIBHMC and DJLab OSU
Kyle Hogrefe
mailing and physical address
104 Wilkinson Hall, Oregon State University
Corvallis
Oregon
97331
USA
541-740-8444
hogrefek@geo.oregonstate.edu
Downloadable Data
These data are not to be used for navigational purposes.
NOAA makes no warranty regarding these data, expressed or implied,
nor does the fact of distribution constitute such a warranty.
NOAA cannot assume liability for any damages caused by any errors
or omissions in these data, nor as a result of the failure of
these data to function on a particular system.
Arc Grid
Arc Grid can be opened directly using
ArcMap or ArcCatalog.
http://www.soest.hawaii.edu/pibhmc/pibhmc_amsamoa_tutuila_bathy.htm
None
20200329
20091222
Kyle Hogrefe
NOAA PIFSC CRED PIBHMC and DJLab OSU
mailing and physical address
104 Wilkinson Hall, Oregon State University
Corvallis
Oregon
97331
USA
541-740-8444
hogrefek@geo.oregonstate.edu
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
Universal Time
None
None
20091222065020
None
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https://www.coris.noaa.gov/metadata/records/html/tut_dbmb_metadata.html
4384