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Resource Library
dmariamp edited this page Jul 29, 2024
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Disclaimer: This page is under construction and the information provided has not yet been verified. Please use with caution and consult additional sources for confirmation.
This page is dedicated to sharing valuable resources related to bathymetric LiDAR and associated technologies. Each entry includes citation information and a brief description for reference.
- Janssen, L. L. F., & Heller, J. C. (2008). Principles of Remote Sensing. ITC.
- Green, D. R. (Ed.). (2009). Coastal and Marine Geospatial Technologies. Springer.
- Philpot, W., Guenther, G., Lilycrop, J., Wozencraft, J., LaRocque, P., Penley, M., Pfennigbauer, M., Pe'eri, S., Feygels, V., Tingaker, T., Kopilevich, Y., Kim, M., Wang, C., Parrish, C., Johnson, N., Macon, C., White, S., Eisemann, E., Reif, M., & Dunkin, L. (2019). BBII Airborne Laser Hydrography. doi:10.7298/4sb5-8434.
- Congalton, R. G., & Green, K. (1999). Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. CRC Press.
- Saylam, K., Brown, R. A., & Hupp, J. R. (2017). Assessment of Depth and Turbidity with Airborne Lidar Bathymetry and Multiband Satellite Imagery in Shallow Water Bodies of the Alaskan North Slope. International Journal of Applied Earth Observation and Geoinformation, 58, 191–200. https://doi.org/10.1016/j.jag.2017.02.012.
- Guenther, G. C., Cunningham, A. G., Larocque, P. E., & Reid, D. J. (2000). Meeting The Accuracy Challenge In Airborne Lidar Bathymetry. EARSeL Symposium.
- IHO Standards for Hydrographic Surveys (Edition 6.1.0, October 2022): The International Hydrographic Organization (IHO) sets standards for hydrographic surveys, including those using LiDAR technologies. These standards ensure data accuracy and consistency in marine surveying.
- ASPRS Positional Accuracy Standards for Digital Geospatial Data (2024), Edition 2: The American Society for Photogrammetry and Remote Sensing (ASPRS) provides guidelines for positional accuracy in digital geospatial data, ensuring high-quality standards in LiDAR projects.
- Example Project (2019). University A.
An academic project focused on sensor development for bathymetric LiDAR.
- Example Software: An open-source tool for bathymetric data processing.
- Parrish Lab at OSU, NOAA, UNH CCOM. (2023). cBLUE.github.io.
Tool for calculating the total propagated uncertainty of bathymetric LiDAR data.
- Ocean Optics Web Book: A comprehensive resource for ocean optics and related topics.