Satellite-derived bathymetry for nearshore benthic habitats in Timor-Leste

Description

Bathymetric data derived from multispectral, high-resolution (2 m) satellite imagery from DigitalGlobe’s WorldView-2 satellite to provide near complete coverage of nearshore terrain along the northern coastline of Timor-Leste, including the district of Oecusse to the west of mainland Timor-Leste and Atauro Island. Satellite images acquired by the NOAA Coral Reef Ecosystem Program (CREP) for the region are from Feb 9, 2010 to October 2, 2013. Methods used by CREP to estimate depths from the WorldView imagery were adapted from instructions developed by Kyle Hogrefe for using IKONOS imagery to derive seafloor elevations in optically clear water (Ehses and Rooney 2015). Bathymetry values shallower than ~20 m were derived by gauging the relative attenuation of coastal, blue, green and yellow spectral radiance as a function of depth. A multiple linear regression analysis of coastal, blue, green and yellow band spectral values against in-situ depth determined the variables of y-intercept, coastal, blue, green and yellow slope values. The variables for each band were then used in a multivariate slope intercept equation to derive depth over the imagery. Variables and combinations of the bands were adjusted to improve the statistical accuracy and spatial coverage of the final derived bathymetry product. Digital image processing to derive depths was conducted with ENVI, and editing and integration was performed using Esri's ArcGIS. The method assumes uniform water clarity but deviations from that condition made extraction difficult in water depths greater than 20 m. Results show that biotic material, or sediment in the water column skewed results shallower if the material has a high albedo and deeper if the material has a low albedo.

Resources

Name Format Description Link
33 WorldView-2 Data Sheet https://dg-cms-uploads-production.s3.amazonaws.com/uploads/document/file/98/WorldView2-DS-WV2-rev2.pdf
33 Depth Derivation Using Multispectral WorldView-2 Satellite Imagery, a NOAA tech memo published by the Pacific Islands Fisheries Science Center. The Tech Memo is also available in the NOAA Repository. https://www.pifsc.noaa.gov/library/pubs/tech/NOAA_Tech_Memo_PIFSC_46.pdf
0 README folder contains the README.txt files for each final bathymetry geoTiff produced for the three regions (north shore, Atauro Island, and Oecusse) of Timor-Leste. Each README.txt file contains specific details for each geoTiff generated. https://accession.nodc.noaa.gov/0169504
0 View the complete metadata record on InPort for more information about this dataset. https://www.fisheries.noaa.gov/inport/item/46150
0 Pacific Island Fisheries Science Center homepage https://www.pifsc.noaa.gov
33 DigitalGlobe. 2010. The Benefits of the Eight Spectral Bands of WorldView-2. https://dg-cms-uploads-production.s3.amazonaws.com/uploads/document/file/35/DG-8SPECTRAL-WP_0.pdf
0 Information about the NOAA Coral Reef Ecosystem Program's activities in the Coral Triangle. https://www.pifsc.noaa.gov/cred/coral_triangle_initiative.php
0 Timor-Leste project portal on the NOAA Coral Reef Information Service website where NOAA's final report for Timor-Leste and the datasets generated by NOAA CREP as part of the project can be downloaded. https://www.coris.noaa.gov/activities/projects/timor-leste/
0 The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. https://www.earthdata.nasa.gov/learn/find-data/idn/gcmd-keywords
33 NOAA Data Management Plan for this record on InPort. https://www.fisheries.noaa.gov/inportserve/waf/noaa/nmfs/pifsc/dmp/pdf/46150.pdf
0 GeoTiff raster bathymetry data for nearshore waters of Timor Leste, derived from WorldView-2 satellite imagery. The bathymetry data are organized by region (north shore, Atauro Island, and Oecusse), and each region contains 1) the individual final bathymetry files (one geoTiff for each satellite image), 2) a projected (UTM_Zone_51S) bathymetry mosaic for the region, and 3) an unprojected (WGS84) mosaic for the region. The mosaics are also in geoTiff format. An ESRI layer file is included within each region's subfolder for ease of displaying the geoTiffs in ESRI's ArcGIS software. The symbology is based on the VALUE field. https://accession.nodc.noaa.gov/0169504

Tags

  • crep
  • doc/noaa/nmfs/pifsc
  • reef monitoring and assessment
  • pseudobathymetry
  • aquatic habitat
  • estimated depths
  • corals
  • benthic habitat
  • coral reef ecosystem division
  • timor
  • pifsc
  • biosphere
  • coastal habitat
  • bathymetry
  • oceans
  • atauro
  • noaa
  • base map
  • nmfs
  • dili
  • us doc
  • timor-leste
  • pacific islands fisheries science center
  • u.s. department of commerce
  • jaco
  • earth science
  • bobonaro
  • derived depths
  • national marine fisheries service
  • seafloor elevation
  • bathymetry/seafloor topography
  • indian ocean
  • lautem
  • liquica
  • worldview-2
  • oecusse
  • coral triangle initiative
  • cred
  • gis product
  • sea floor
  • united states agency for international development
  • gis
  • reef habitat
  • derived products
  • baucau
  • timor sea
  • ocean basin
  • ecosystem sciences division
  • water depth
  • manatuto
  • coastal processes
  • timor leste
  • zoology
  • coral reefs
  • mapping
  • usaid
  • geographic information
  • satellite (digital scans)
  • country/territory
  • vila mpa
  • democratic republic of timor-leste (east timor) (09s126e0001)
  • remote sensing
  • coral reef studies
  • coral reef ecosystem program

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