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
USGS/NOAA Topobathy Lidar DEM: CNMI (Aguijan, Rota, Saipan, Tinian) Unknown 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). Open resource
NOAA Office for Coastal Management Website Unknown NOAA Office for Coastal Management Home Page Open resource
https://coast.noaa.gov/dataviewer/#/lidar/search/where:id=10031/details/10031 Unknown Custom download app allowing subsetting, projection change, and generation of derived products. Input Data File Specification: LAS 1.4 Output File Compression: Zip Open resource
https://doi.org/10.1007/s12237-019-00652-9 Unknown 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 Open resource
https://doi.org/10.1109/LGRS.2013.2280182 Unknown 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 Open resource
https://doi.org/10.1371/journal.pone.0021265 Unknown 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 Open resource
https://doi.org/10.3390/s151128099 Unknown 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 Open resource
https://doi.org/10.3390/s22093121 Unknown 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 Open resource
Bulk Download HTML Bulk download of data files in vertical orthometric datum, geographic coordinates. Open resource
Lidar Mapping Report: Project ID 17502 PDF 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. Open resource
Global Change Master Directory (GCMD) Keywords Unknown 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. Open resource
Full Metadata Record Unknown View the complete metadata record on InPort for more information about this dataset. Open resource
NOAA Data Management Plan (DMP) PDF NOAA Data Management Plan for this record on InPort. Open resource

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