gov.noaa.nmfs.inport:39062 eng UTF8 dataset National Centers for Coastal Ocean Science resourceProvider NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov pointOfContact 2025-05-15T19:16:09 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 3 row 37709 column 18194 vertical 1 point 0 IKONOS Imagery for the Republic of Palau Palau_Imagery_Metadata 2007-09 publication NOAA/NMFS/EDM 39062 https://www.fisheries.noaa.gov/inport/item/39062 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information Battista, Tim tim.battista@noaa.gov principalInvestigator https://ccma.nos.noaa.gov/products/biogeography/palau/ WWW:LINK-1.0-http--link Citation URL Online Resource download https://ccma.nos.noaa.gov/products/biogeography/palau/data/ WWW:LINK-1.0-http--link Citation URL Online Resource download The National Oceanic and Atmospheric Administration's (NOAA) National Ocean Service (NOS) is tasked with the coral mapping element of the U.S. Coral Reef Task Force (CRTF) under the authority of Executive Order 13089. NOS is responsible for coral reef mapping in Puerto Rico, the U.S. Virgin Islands, the Northwest Hawaiian Islands, the Main Eight Hawaiian Islands, and the U.S. Territories and Freely Associated States of the Pacific. Space Imaging, Inc (SI) and Analytical Laboratories of Hawaii, LLC (ALH) has produced GIS-compatible benthic habitat digital maps of the Republic of Palau using the classification scheme defined by NOAA. The map products produced through this project include baseline data of U.S. coral reefs, location of coral reef boundaries and overall coral reef cover, and the geomorphologic structure in and around coral reef systems. Maps include the 9 major and 23 detailed biological cover types, 4 major and 14 detailed geomorphological structure types, and 15 mutually exclusive zones specified in NOAA's hierarchical classification manual for coastal waters of the Republic of Palau. Benthic habitats are delineated from the coastline to water depths of 30 meters in GIS using manual interpretation techniques. NOAA utilizes IKONOS Multispectral (MSI) Satellite Imagery from Space Imaging, Inc., consisting of both newly acquired and archived imagery. The imagery consists of 1m panchromatic and 4m MSI with a horizontal accuracy of at least 5m CE95 at 1:4,800 National Map Accuracy Standard (NMAS). Once the imagery is processed, NOAA will use ALH's hand-digitize GIS approach to produce the benthic habitat maps at a minimum mapping unit of one acre, as well as NOAA's preferred random stratified accuracy assessment method. Atmospheric correction removes atmospheric effects from the raw pansharpened data and retrieves surface reflectance, characterizing the surface properties, in order to improve the accuracy of image classification. Calibration coefficients for the satellite, provided by Space Imaging, were used to calculate at-satellite radiance, which was then transformed to reflectance. completed NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov pointOfContact NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov custodian unknown Remotely Sensed Imagery/Photos theme NOS Data Explorer Topic Category IKONOS Imagery benthic habitat oceans reef theme Belau Palau Republic of Palau United States place DOC/NOAA/NOS/NCCOS > National Centers for Coastal Ocean Science, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2017-04-24 publication 8.5 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 22. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian Palau project InPort otherRestrictions Cite As: National Centers for Coastal Ocean Science, [Date of Access]: IKONOS Imagery for the Republic of Palau [Data Date Range], https://www.fisheries.noaa.gov/inport/item/39062. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions Access Constraints: None otherRestrictions Use Constraints: None otherRestrictions Distribution Liability: This data is provided by Space Imaging for the U.S. Department of Commerce, the National Oceanic and Atmospheric Administration (NOAA), the National Ocean Service (NOS), the National Centers for Coastal Ocean Science (NCCOS), and the Center for Coastal Monitoring and Assessment (CCMA). The Government retains the exclusive rights to use, publish, and duplicate the original and derived products and data during the course of this contract. While every effort has been made to ensure the accuracy of the information supplied herein, Space Imaging does not guarentee the accuracy of geographic features or attributes. Space Imaging cannot be held responsible for any errors or omissions and reserves the right to change the content of its data, including the products and services described therein, at any time; therefore, all Space Imaging and third party information is provided "AS IS". Space Imaging DISCLAIMS ALL WARRANTIES WITH REGARD TO THE INFORMATION (INLCUDING ANY SOFTWARE) PROVIDED, INCLUDING THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. Space Imaging shall not be liable for any damages whatsoever, including any special, indirect, navigational, consequential, or incidental damages, or damages for lost profits, loss of revenue, or loss of use, arising out of access to, inablility to access, use or inability to use any Space Imaging mapping products or the information contained within them, whether such damages arise in contract, negligence, tort, under statute, in equity, at law, or otherwise. unclassified None None NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 39062 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/nccos/dmp/pdf/39062.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference grid eng; US environment imageryBaseMapsEarthCover oceans Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.2.1350 134.091263 134.752 6.8537 8.218 | Currentness: Ground Condition 2003 2006 false eng false Pansharpened Blue 2017-04-17 publication Pansharpened Green 2017-04-17 publication Pansharpened Red 2017-04-17 publication JPEG 1 Zip NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov distributor https://ccma.nos.noaa.gov/products/biogeography/palau/data WWW:LINK-1.0-http--link https://ccma.nos.noaa.gov/products/biogeography/palau/data Downloadable Data download dataset Horizontal Positional Accuracy The IKONOS Imagery consist of 1m panchromatic and 4m MSI with a horizontal accuracy of at least 5m CE95 at 1:4,800 National Map Accuracy Standard (NMAS) Completeness Report Atmospherically corrected data in units of remote-sensing reflectance were delivered in Unsigned Integer 16-bit (BIP) PIX format with an associated header file that includes the lat/long information for every pixel projected in UTM WGS-84 (Zone 53N). Conceptual Consistency All of the IKONOS imagery was purchased in National Imagery Transmission Format (NITF) with the associated Rational Polynomial Coefficients (RPCs or satellite ephemeris data). Raw satellite images were converted from Digital Numbers (DNs) to normalized reflectance. Normalized reflectance (or at-satellite reflectance) converts DNs into standardized, satellite-independent, comparable values. First developed for Landsat satellite imagery, the algorithm used to perform this conversion was modified for IKONOS image processing. As part of the conversion from DNs to at-satellite reflectance, the following equation is used (Green et al. 2000):R = pi * L/ (Eo cos(theta0) 1/r2)L = radiance (from calibration provided by Space Imaging). r = earth-sun distance in Astronomical Units. theta0 = the solar zenith angle Eo = the mean solar exo-atmospheric irradiance in each band. (A convolution of the spectral response and solar radiation from Neckel and Labs (1984) was used to get Eo.) The acquisition angles (ephemeris data) of the satellite relative to the ground at the time of image acquisition were also used. Calibration coefficients for the satellite, provided by Space Imaging, were used to calculate at-satellite radiance, which was then transformed to reflectance. The normalized reflectance imagery was then transformed into water reflectance (or the signal less than 10 cm above the water surface). Water reflectance uses the near-infrared band to remove radiance attributed to atmospheric and surface effects (Stumpf et al. 2003). Water reflectance estimates how the signal (photons) received by the satellite is diminished as it passes through the atmosphere on the way down to the water-atmosphere boundary and on the way back up to the satellite after the signal leaves the water-atmosphere boundary. Water reflectance also estimates how the signal at the satellite is diminished by water vapor, clouds, specular effects at the water surface (wave surface glint), and other signal- absorbing and diffusing materials. All of the IKONOS imagery was purchased in National Imagery Transmission Format (NITF) with the associated Rational Polynomial Coefficients (RPCs or satellite ephemeris data). Raw satellite images were converted from Digital Numbers (DNs) to normalized reflectance. As part of the conversion from DNs to at-satellite reflectance, the following equation is used (Green et al. 2000):R = pi * L/ (Eo cos(theta0) 1/r2)L = radiance (from calibration provided by Space Imaging). r = earth-sun distance in Astronomical Units. theta0 = the solar zenith angle. Eo = the mean solar exo-atmospheric irradiance in each band. (A convolution of the spectral response and solar radiation from Neckel and Labs (1984) was used to get Eo.) The acquisition angles (ephemeris data) of the satellite relative to the ground at the time of image acquisition were also used. Calibration coefficients for the satellite, provided by Space Imaging, were used to calculate at-satellite radiance, which was then transformed to reflectance. The normalized reflectance imagery was then transformed into water reflectance (or the signal less than 10 cm above the water surface). Water reflectance uses the near-infrared band to remove radiance attributed to atmospheric and surface effects (Stumpf et al. 2003). Water reflectance estimates how the signal (photons) received by the satellite is diminished as it passes through the atmosphere on the way down to the water-atmosphere boundary and on the way back up to the satellite after the signal leaves the water-atmosphere boundary. Water reflectance also estimates how the signal at the satellite is diminished by water vapor, clouds, specular effects at the water surface (wave surface glint), and other signal- absorbing and diffusing materials.Georeferencing/mosaicking of the imagery was performed using PCI OrthoEngine module. The NITF IKONOS imagery was orthorectified using the Rational Functions extracted from the NITF, then further supplemented with ground control collected via survey grade GPS and corrected for terrain displacement using the DEM's where available. When multiple scenes were available for a given area, these were collectively incorporated into the orthomosaic project through bundle adjustment. Each scene was exported as a separate orthorectified file for further image processing. In addition, the best segments of each scene were selected for creation of the final mosaic. Segments of each scene were selected to minimize sun glint, cloud interference, turbidity, etc. in the final mosaic. Where possible, parts of images obscured by sun glint or clouds were replaced with cloud/glint free parts of overlapping images. As a result, most mosaics have few or no clouds or sun glint obscuring bottom features. However, in some cases, clouds, sun glint, or turbid areas could not be replaced with overlapping imagery. In these areas, such obstructions were minimized but could not be eliminated completely. 2007-01-01T00:00:00 otherRestrictions otherRestrictions Access Constraints: none | Use Constraints: none