Ocean Backscatter Profiling Using High-Spectral-Resolution Lidar and a Perturbation Retrieval

Churnside, James; Hair, Johnathan; Hostetler, Chris; Scarino, Amy

doi:10.3390/rs10122003

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

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.

i

Ocean Backscatter Profiling Using High-Spectral-Resolution Lidar and a Perturbation Retrieval

2018
By Churnside, James ; Hair, Johnathan ; Hostetler, Chris ; ...
Source: Remote Sens. 2018, 10(12), 2003

[PDF-7.41 MB]

Select the Download button to view the document

This document is over 5mb in size and cannot be previewed

Details You May Also Like

Details:

Journal Title:

Remote Sensing
Personal Author:

Churnside, James ; Hair, Johnathan ; Hostetler, Chris ; Scarino, Amy

Churnside, James ; Hair, Johnathan ; Hostetler, Chris ; Scarino, Amy Less -
NOAA Program & Office:

CIRES (Cooperative Institute for Research in Environmental Sciences) ; OAR (Oceanic and Atmospheric Research) ; ESRL (Earth System Research Laboratory) ; CSL (Chemical Sciences Laboratory)

CIRES (Cooperative Institute for Research in Environmental Sciences) ; OAR (Oceanic and Atmospheric Research) ; ESRL (Earth System Research Laboratory) ; CSL (Chemical Sciences Laboratory) Less -
Description:

Ocean lidar attenuation and scattering parameters were derived from a high-spectral-resolution lidar (HSRL) using two different retrieval techniques. The first used the standard HSRL retrieval, and the second used only the total backscatter channel and a perturbation retrieval (PR). The motivation is to evaluate differences between the two techniques that would affect the decision of whether to use a simple backscatter lidar or a more complex HSRL in future applications. For the data set investigated, the attenuation coefficient from the PR was an average of 11% lower than that from the HSRL. The PR estimate of the scattering parameter decreased with depth relative to the HSRL estimate, although the overall bias was zero as a result of the calibration procedure. Near the surface, the coefficient of variability in both estimates of attenuation and in HSRL estimates of scattering were around 5%, but that in the PR estimate of scattering was over 10%. At greater depths, the variability increases for all of the profile parameters. The correlation between the two estimates of attenuation coefficient was 0.7. The correlation between scattering parameters was > 0.8 near the surface, but decreased to 0.4 at a depth of around 20 m. Overall, the PR performed better relative to the HSRL in offshore waters than in nearshore waters.
Keywords:

[+]

Oceanography Remote Sensing
Source:

Remote Sens. 2018, 10(12), 2003
DOI:

https://doi.org/10.3390/rs10122003
Document Type:

Journal Article
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

[+]

urn:sha256:5ffa01aa12e4f792cef451b4d35883b7f57da581db8556affed38264768b1048
Download URL:

https://repository.library.noaa.gov/view/noaa/26420/noaa_26420_DS1.pdf
File Type:

No Additional Files

More +

Ocean Backscatter Profiling Using High-Spectral-Resolution Lidar and a Perturbation Retrieval

Details:

Supporting Files

You May Also Like