| Name |
Format |
Description |
Link |
|
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 |
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 |
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 |
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), 569ÃÂâÃÂÃÂÃÂÃÂ573. https://doi.org/10.1109/LGRS.2013.2280182 |
https://doi.org/10.1109/LGRS.2013.2280182 |
|
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 |
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 |
|
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 |
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 |
|
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/nos/nccos/dmp/pdf/71943.pdf |