U.S. flag An official website of the United States government.
Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

i

Confidence Measure of the Shallow-Water Bathymetry Map Obtained through the Fusion of Lidar and Multiband Image Data



Details

  • Journal Title:
    Journal of Remote Sensing
  • Personal Author:
  • NOAA Program & Office:
    NOAA General Documents
  • Description:
    With the advancement of Lidar technology, bottom depth ( H ) of optically shallow waters (OSW) can be measured accurately with an airborne or space-borne Lidar system ( H Lidar hereafter), but this data product consists of a line format, rather than the desired charts or maps, particularly when the Lidar system is on a satellite. Meanwhile, radiometric measurements from multiband imagers can also be used to infer H ( H imager hereafter) of OSW with variable accuracy, though a map of bottom depth can be obtained. It is logical and advantageous to use the two data sources from collocated measurements to generate a more accurate bathymetry map of OSW, where usually image-specific empirical algorithms are developed and applied. Here, after an overview of both the empirical and semianalytical algorithms for the estimation of H from multiband imagers, we emphasize that the uncertainty of H imager varies spatially, although it is straightforward to draw regressions between H Lidar and radiometric data for the generation of H imager . Further, we present a prototype system to map the confidence of H imager pixel-wise, which has been lacking until today in the practices of passive remote sensing of bathymetry. We advocate the generation of a confidence measure in parallel with H imager , which is important and urgent for broad user communities.
  • Keywords:
  • Source:
    Journal of Remote Sensing, 2021
  • DOI:
  • ISSN:
    2694-1589
  • Format:
    PDF
  • Publisher:
    American Association for the Advancement of Science (AAAS)
  • Document Type:
    Journal Article
  • License:
  • Rights Information:
    CC BY
  • Compliance:
    Library
  • Main Document Checksum:
    urn:sha256:511398f35487652a22cf0abf3e1b24a0b48e08161c3b145c10e3b599e4d88c25
  • Download URL:
  • File Type:
    Filetype[PDF - 2.52 MB ]
PREVIOUS
ON THIS PAGE
Details
The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.
BACK TO TOP