Data Package Metadata   View Summary

SBC LTER: Ocean: High-resolution Landsat 8 chlorophyll imagery of the Santa Barbara Channel

General Information
Data Package:
Local Identifier:knb-lter-sbc.150.1
Title:SBC LTER: Ocean: High-resolution Landsat 8 chlorophyll imagery of the Santa Barbara Channel
Alternate Identifier:DOI PLACE HOLDER
Abstract:

This is a timeseries of Landsat 8 images of the Santa Barbara Channel, processed for both chlorophyll and particulate backscattering. Data are contained in netcdf files, and there are 88 images in total, spanning the deployment of Landsat 8 (2013 - present). Spatial resolution of the imagery is 30x30m. These data are contained in the netcdf folder. MATLAB scripts are available to load the netcdf files, flag the bad pixels, interpolate over the flagged pixels, and plot images, in the matlab folder. In addition, there is a folder containing jpegs of all of the images. A simple workflow would be looking through all the jpegs to see what images you want, and then downloading the specific netcdf files and using the matlab scripts and accompanying functions to process them.

Short Name:Landsat 8 chlorophyll
Publication Date:2022-03-20
Language:English
For more information:
Visit: https://sbclter.msi.ucsb.edu/
Visit: DOI PLACE HOLDER

Time Period
Begin:
2013-03-22
End:
2021-12-20

People and Organizations
Contact:Information Manager, Santa Barbara Coastal LTER [  email ]
Organization:Santa Barbara Coastal LTER
Organization:Southern California Bight MBON
Creator:Carberry, Luke 
Creator:Nidzieko, Nick J. 

Data Entities
Other Name:
Landsat 8 chlorophyll and particulate backscattering
Description:
Netcdf containing: lat, lon, chl_oci, flags, bbp_443_giop, bbp_443_gsm
Other Name:
Landsat 8 chlorophyll concentration imagery
Description:
Jpegs of all 88 images for chlorophyll concentration
Other Name:
Matlab scripts
Description:
Matlab scripts used to process the chlorophyll images
Detailed Metadata

Data Entities


Non-Categorized Data Resource

Name:Landsat 8 chlorophyll and particulate backscattering
Entity Type:otherEntity
Description:Netcdf containing: lat, lon, chl_oci, flags, bbp_443_giop, bbp_443_gsm
Physical Structure Description:
Object Name:netcdf.zip
Size:139 byte
Authentication:701654ee05ee6080f254c58a312bb770 Calculated By MD5
Externally Defined Format:
Format Name:ZIP
Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-sbc/150/1/e2c9cef22f33dd5b4c72bb925f8d08c9

Non-Categorized Data Resource

Name:Landsat 8 chlorophyll concentration imagery
Entity Type:otherEntity
Description:Jpegs of all 88 images for chlorophyll concentration
Physical Structure Description:
Object Name:Landsat8_chl_imagery.zip
Size:407183891 byte
Authentication:aa4fb4235f882f5b8d80c235b8dc7f5a Calculated By MD5
Externally Defined Format:
Format Name:ZIP
Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-sbc/150/1/6bfd5a7afae6f6720f297b0649e0dd77

Non-Categorized Data Resource

Name:Matlab scripts
Entity Type:otherEntity
Description:Matlab scripts used to process the chlorophyll images
Physical Structure Description:
Object Name:matlab.zip
Size:221022 byte
Authentication:82fca984c8ec6d47b1b0342a0d3bcab0 Calculated By MD5
Externally Defined Format:
Format Name:ZIP
Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-sbc/150/1/7542f094a7eafc499037d1e9c8570ec5

Data Package Usage Rights

This data package is released under the Creative Commons License Attribution 4.0 International (CC BY 4.0, see https://creativecommons.org/licenses/by/4.0/). This license states that consumers ("Data Users" herein) may distribute, adapt, reuse, remix, and build upon this work, as long as they give appropriate credit, provide a link to the license, and indicate if changes were made. If redistributed, a Data User may not apply additional restrictions or technological measures that prevent access.

The Data User has an ethical obligation to cite the data source appropriately in any publication or product that results from its use, and notify the data contact or creator. Communication, collaboration, or co-authorship (as appropriate) with the creators of this data package is encouraged to prevent duplicate research or publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplication or inappropriate use. The Data User should realize that misinterpretation may occur if data are used outside of the context of the original study. The Data User should be aware that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data.

While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. This data package (with its components) is made available “as is” and with no warranty of accuracy or fitness for use. The creators of this data package and the repository where these data were obtained shall not be liable for any damages resulting from misinterpretation, use or misuse of the data package or its components.

Keywords

By Thesaurus:
LTER Controlled Vocabulary v1chlorophyll, spatial variability
SBC-LTER Controlled Vocabularynearshore ocean, remote sensing
nonejpeg, netcdf, remote sensing, satellite, spatial data

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

Landsat Collection 1 Level 1 images were downloaded in bulk from the USGS website. All images of the Santa Barbara Channel with less than 70% percent cloud cover were downloaded, spanning 03/22/2013 to 12/20/2021. Landsat takes one image every 16 days. Images were processed for chlorophyll using NASA SeaDAS, which flags images for cloud cover, glint and other errors in atmospheric correction. Images that were totally flagged for clouds and glint have been removed. The resulting time series is 88 images long, each containing some area of the SBC with meaningful data.

The algorithm used for processing chlorophyll in SeaDAS is chl_oci, which is the standard ocean color algorithm for Landsat’s Optical Land Imager (OLI). It follows the OCX algorithm at high chlorophyll > 0.2 ug/L (O'Reilly et al., 1998; O'Reilly and Werdell, 2019) and Chuanmin Hu's line height algorithm below < 0.2 ug/L (Hu et al., 2012). Particulate backscattering at 443 nm is processed using both the Generalized Inherent Optical Property (GIOP) model (Werdell et al., 2013) and the Garver-Siegel-Maritorena (GSM) algorithm. These three matrices, plus lat, lon, and chlorophyll flags, are contained in each netcdf file. The matlab script landsat_load.m can be used to process each desired netcdf file and flag the bad pixels (using chlflag.m function). The flagging process removes lots of solitary pixels, so I use a function called fill_holes.m to interpolate over the small holes in the chlorophyll field. This function calls a function called inpaint_nans.m by John D’Errico. The matlab script landsat_plot.m can be used to interpolate over the small holes, define a subregion with lat/lon coordinates for specific analysis (using a function called subregion.m), and plot and save figures.

People and Organizations

Publishers:
Organization:Environmental Data Initiative
Email Address:
info@environmentaldatainitiative.org
Web Address:
https://environmentaldatainitiative.org
Id:https://ror.org/0330j0z60
Creators:
Organization:Santa Barbara Coastal LTER
Address:
Marine Science Institute University of California,
Santa Barbara, CA 93106 USA
Email Address:
sbclter@msi.ucsb.edu
Organization:Southern California Bight MBON
Address:
Marine Science Institute University of California,
Santa Barbara, CA 93106 USA
Email Address:
sbcbon@msi.ucsb.edu
Individual: Luke Carberry
Address:
Earth Research Institute University of California,
Santa Barbara, CA 93106-3060 US
Email Address:
lcarberry@ucsb.edu
Id:https://orcid.org/0000-0001-9374-9202
Individual: Nick J. Nidzieko
Address:
Department of Geography University of California,
Santa Barbara, CA 93106-4060 US
Email Address:
nidzieko@ucsb.edu
Contacts:
Position:Information Manager, Santa Barbara Coastal LTER
Address:
Marine Science Institute,
University of California,
Santa Barbara, California 93106-6150 United States
Phone:
805 893 2071 (voice)
Email Address:
sbclter@msi.ucsb.edu
Web Address:
https://sbclter.msi.ucsb.edu/

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
2013-03-22
End:
2021-12-20
Geographic Region:
Description:Santa Barbara Channel: Santa Barbara Channel: SBCHAN: The Channel is roughly defined on the north by the coastline of mainland California, USA, on the east by the outlet of the Santa Clara River, on the south by the Santa Barbara Channel Islands, and on the west by Point Arguello.
Bounding Coordinates:
Northern:  34.6Southern:  33.9
Western:  -120.8Eastern:  -119.2

Project

Parent Project Information:

Title:Santa Barbara Coastal Long Term Ecological Research Project
Personnel:
Individual:Dr. Robert Miller
Address:
Marine Science Institute,
University of California,
Santa Barbara, California 93106-6150 United States
Phone:
805 893 6174 (voice)
Email Address:
miller@msi.ucsb.edu
Role:Principal Investigator
Individual:Dr. Dan Reed
Address:
Marine Science Institute,
University of California,
Santa Barbara, California 93106-6150 United States
Phone:
805 893 8363 (voice)
Email Address:
dan.reed@lifesci.ucsb.edu
Role:Co-principal Investigator
Individual:Dr. Adrian Stier
Address:
Department of Ecology, Evolution and Marine Biology,
University of California,
Santa Barbara, California 93106-9260 United States
Phone:
805 893 5467 (voice)
Email Address:
adrian.stier@lifesci.ucsb.edu
Role:Co-principal Investigator
Individual:Dr. Gretchen Hoffman
Address:
Department of Ecology, Evolution and Marine Biology,
University of California,
Santa Barbara, California 93106-9620 United States
Phone:
805 893 6175 (voice)
Email Address:
hofmann@lifesci.ucsb.edu
Role:Co-principal Investigator
Individual:Dr. David Siegel
Address:
Institute for Computational Earth System Science,
University of California,
Santa Barbara, California 93106-3060 United States
Phone:
805 893 4547 (voice)
Email Address:
davey@icess.ucsb.edu
Role:Co-principal Investigator
Abstract:

The Santa Barbara Coastal LTER (SBC LTER) is an interdisciplinary research and education program established in April 2000 with the goal of developing a predictive understanding of how environmental drivers interact with terrestrial and oceanic processes to alter material flows and influence the ecology of coastal ecosystems. SBC LTER's principal study domain is the semi-arid coast and nearshore waters of the Santa Barbara Channel in southern California, and its diverse and productive marine forests of giant kelp (Macrocystis pyrifera) serve as the focal study ecosystem. Analyses of our long-term data have identified many of the environmental drivers and ecological processes underlying the production and community dynamics of kelp forests. The research proposed to address this question is integrated in a conceptual framework that focuses on the causes and ecological consequences of the dynamics of a relatively short-lived foundation species in a setting of long-term climate change and human use.

Funding:

NSF Award OCE-9982105, OCE-0620276, OCE-1232779, OCE-1831937

Other Metadata

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

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