2019 NOAA Bathymetric Lidar with Waveform Metrics: Saipan, CNMI

Description

This data package contains bathymetric light detection and ranging (lidar) Chiroptera-4X .LAS 1.4 files with waveform metrics (as extra bytes) for 0 to 50 meter depths around the island of Saipan, Commonwealth of the Northern Mariana Islands (CNMI). Bathymetric lidar waveforms depict the amount of laser light returned from the seafloor recorded during each laser pulse. Typically, only the leading edge of the seafloor return is used to calculate bottom depth. However, the shape of the seafloor return also contains novel information about the physical structure and biological cover on the seafloor (Collin et al. 2011, Wilson et al. 2019). To extract this information, the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) partnered with Oregon State University (OSU), NOAA Office for Coastal Management (OCM), Woolpert and Hexagon Leica to develop software to export, process, normalize and rasterize 16 LWFM describing the shape of the seafloor return (Jung et al. In Review; Collin et al. 2011; Parrish et al. 2014; Kashani et al. 2015; Kogut et al. 2022). The resulting LWFM rasters were used to predict the distribution of key coral reef taxa and habitats west of Saipan (Costa et al. 2024). This effort marks one of the few studies that have used LWFM to predict tropical coral reef habitats to date. These processing workflows and associated software will also make LWFM creation easier and more routine for future Chiroptera-4X lidar collections by NOAA and its partners. This project was funded by NOAA's Coral Reef Conservation Program (CRCP), and leverages significant investments made by NOAA NCCOS, NOAA National Geodetic Survey, NOAA Office for Coastal Management, and the U.S. Geological Survey in the region.

Resources

Name Format Description Link
0 Global Change Master Directory (GCMD). 2024. GCMD Keywords, Version 19. 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 https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords
33 Woolpert. (2019). Lidar Mapping Report: Project ID 17502, Work Unit 219835. NOAA CONTRACT NUMBER: EA-133C-16-CQ-0046 and USGS CONTRACT NUMBER: G16PC00022. This report describes the collection of the dataset used as input for this dataset. Not all parts are applicable. https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/PI_CNMI_2019_D19/PI_CNMI_hydroflattened_ellipsoid_2019/reports/PI_CNMI_2019_D19_Lidar_Mapping_Report_Hydroflattened_Ellipsoid_WU219835.pdf
0 Collin, A., Archambault, P., & Long, B. (2011). Predicting species diversity of benthic communities within turbid nearshore using full waveform bathymetric LiDAR and machine learners. PloS one, 6(6), e21265. https://doi.org/10.1371/journal.pone.0021265 https://doi.org/10.1371/journal.pone.0021265
0 Kogut, T., Tomczak, A., Stowik, A., & Oberski, T. (2022). Seabed modelling by means of airborne laser bathymetry data and imbalanced learning for offshore mapping. Sensors, 22(9), 3121. https://doi.org/10.3390/s22093121 https://doi.org/10.3390/s22093121
21 Bulk download of data files in vertical orthometric datum, geographic coordinates. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/10031/index.html
0 View the complete metadata record on InPort for more information about this dataset. https://www.fisheries.noaa.gov/inport/item/71943
0 Kashani, A. G., Olsen, M. J., Parrish, C. E., & Wilson, N. (2015). A review of LiDAR radiometric processing: From ad hoc intensity correction to rigorous radiometric calibration. Sensors, 15(11), 28099-28128. https://doi.org/10.3390/s151128099 https://doi.org/10.3390/s151128099
33 NOAA Data Management Plan for this record on InPort. https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/nccos/dmp/pdf/71943.pdf
21 Bulk download of data files in vertical orthometric datum, geographic coordinates. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/10031/index.html
0 Custom download app allowing subsetting, projection change, and generation of derived products. Input Data File Specification: LAS 1.4 Output File Compression: Zip https://coast.noaa.gov/dataviewer/#/lidar/search/where:id=10031/details/10031
0 View the complete metadata record on InPort for more information about this dataset. https://www.fisheries.noaa.gov/inport/item/71943
0 Kashani, A. G., Olsen, M. J., Parrish, C. E., & Wilson, N. (2015). A review of LiDAR radiometric processing: From ad hoc intensity correction to rigorous radiometric calibration. Sensors, 15(11), 28099-28128. https://doi.org/10.3390/s151128099 https://doi.org/10.3390/s151128099
0 NOAA and USGS. (2019). USGS/NOAA Topobathy Lidar DEM: CNMI (Aguijan, Rota, Saipan, Tinian). Online: https://chs.coast.noaa.gov/htdata/raster5/elevation/CNMI_Topobathy_DEM_2019_9474/ (Accessed 15 November 2023). https://chs.coast.noaa.gov/htdata/raster5/elevation/CNMI_Topobathy_DEM_2019_9474/
0 Wilson, N., Parrish, C. E., Battista, T., Wright, C. W., Costa, B., Slocum, R. K., ... & Tyler, M. T. (2019). Mapping seafloor relative reflectance and assessing coral reef morphology with EAARL-B topobathymetric Lidar waveforms. Estuaries and Coasts, 1-15. https://doi.org/10.1007/s12237-019-00652-9 https://doi.org/10.1007/s12237-019-00652-9
0 NOAA Office for Coastal Management Home Page https://coast.noaa.gov
33 NOAA Data Management Plan for this record on InPort. https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/nccos/dmp/pdf/71943.pdf
0 Parrish, C. E., Rogers, J. N., & Calder, B. R. (2014). Assessment of waveform features for lidar uncertainty modeling in a coastal salt marsh environment. IEEE Geoscience and Remote Sensing Letters, 11(2), 569‐573. https://doi.org/10.1109/LGRS.2013.2280182 https://doi.org/10.1109/LGRS.2013.2280182
0 Collin, A., Archambault, P., & Long, B. (2011). Predicting species diversity of benthic communities within turbid nearshore using full waveform bathymetric LiDAR and machine learners. PloS one, 6(6), e21265. https://doi.org/10.1371/journal.pone.0021265 https://doi.org/10.1371/journal.pone.0021265
33 Woolpert. (2019). Lidar Mapping Report: Project ID 17502, Work Unit 219835. NOAA CONTRACT NUMBER: EA-133C-16-CQ-0046 and USGS CONTRACT NUMBER: G16PC00022. This report describes the collection of the dataset used as input for this dataset. Not all parts are applicable. https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/PI_CNMI_2019_D19/PI_CNMI_hydroflattened_ellipsoid_2019/reports/PI_CNMI_2019_D19_Lidar_Mapping_Report_Hydroflattened_Ellipsoid_WU219835.pdf
0 NOAA Office for Coastal Management Home Page https://coast.noaa.gov
0 Kogut, T., Tomczak, A., Stowik, A., & Oberski, T. (2022). Seabed modelling by means of airborne laser bathymetry data and imbalanced learning for offshore mapping. Sensors, 22(9), 3121. https://doi.org/10.3390/s22093121 https://doi.org/10.3390/s22093121
0 NOAA and USGS. (2019). USGS/NOAA Topobathy Lidar DEM: CNMI (Aguijan, Rota, Saipan, Tinian). Online: https://chs.coast.noaa.gov/htdata/raster5/elevation/CNMI_Topobathy_DEM_2019_9474/ (Accessed 15 November 2023). https://chs.coast.noaa.gov/htdata/raster5/elevation/CNMI_Topobathy_DEM_2019_9474/
0 Wilson, N., Parrish, C. E., Battista, T., Wright, C. W., Costa, B., Slocum, R. K., ... & Tyler, M. T. (2019). Mapping seafloor relative reflectance and assessing coral reef morphology with EAARL-B topobathymetric Lidar waveforms. Estuaries and Coasts, 1-15. https://doi.org/10.1007/s12237-019-00652-9 https://doi.org/10.1007/s12237-019-00652-9
0 Parrish, C. E., Rogers, J. N., & Calder, B. R. (2014). Assessment of waveform features for lidar uncertainty modeling in a coastal salt marsh environment. IEEE Geoscience and Remote Sensing Letters, 11(2), 569573. https://doi.org/10.1109/LGRS.2013.2280182 https://doi.org/10.1109/LGRS.2013.2280182
0 Custom download app allowing subsetting, projection change, and generation of derived products. Input Data File Specification: LAS 1.4 Output File Compression: Zip https://coast.noaa.gov/dataviewer/#/lidar/search/where:id=10031/details/10031
0 Global Change Master Directory (GCMD). 2024. GCMD Keywords, Version 19. 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 https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords

Tags

  • derived data product
  • vertical location
  • map images
  • united states of america
  • western pacific ocean
  • nccos research priority
  • reef monitoring and assessment
  • nccos research location
  • nccos research topic
  • corals
  • benthic
  • national ocean service
  • northern mariana islands
  • geospatial
  • national centers for coastal ocean science
  • biosphere
  • chalan kanoa (15n145e0012)
  • bathymetry
  • habitat mapping
  • oceans
  • hawkeye-4x topo-bathymetric lidar
  • biogeography
  • continent
  • noaa
  • numeric data sets
  • north america
  • slope
  • marine management areas
  • habitats
  • airplane
  • 1 meter - < 10 meters
  • u.s. department of commerce
  • earth science
  • bathymetry/seafloor topography
  • ocean
  • light detection and ranging
  • nccos research data type
  • region
  • doc/noaa/nos/nccos
  • sea floor
  • saipan island
  • saipan
  • lidar
  • u.s. states and territories
  • mariana islands
  • gis
  • coral reef ecology
  • micronesia
  • ocean basin
  • noaa coral reef conservation program
  • habitat - benthic
  • water depth
  • marine spatial ecology
  • lidar waveform
  • coastal processes
  • saipan island (15n145e0002)
  • spectral/engineering
  • zoology
  • coral reefs
  • reims f406 - zk-xlf
  • mapping
  • field observation
  • international
  • pacific ocean
  • geographic information
  • country/territory
  • backscatter
  • rugosity

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