DRAFT

Data Set (knb-lter-sbc.74.10)

SBC LTER: Time series of quarterly NetCDF files of kelp biomass in the canopy from Landsat 5, 7 and 8, 1984 - 2016 (ongoing)

  Summary and Data Links People and Organizations Temporal, Geographic and Taxonomic Coverage Methods and Protocols  
Data Set General Information:
Identifier: knb-lter-sbc.74.10 (in the knb Catalog System)
Alternate Identifier: knb-lter-sbc.74
Abstract:

This data file represents a time series of canopy biomass of the giant kelp, Macrocystis pyrifera, derived from Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), and Landsat 8 Operational Land Imager (OLI) satellite imagery, along with relevant metadata. The kelp canopy is composed of the portions of fronds floating on the surface of the water. Biomass data (wet weight, kg) are given for individual 30 x 30 meter pixels in the coastal areas extending from near Año Nuevo to San Diego, CA, including the Northern and Southern Channel Islands.

Data were derived from the three Landsat sensors listed above. Observations are made on a 16 day repeat cycle, for each instrument, but the temporal coverage is irregular because of cloud cover, instrument failure, and the mission length of each sensor (TM: 1984 – 2011, ETM+: 1999 – present, OLI: 2013 – present). Estimates of kelp canopy biomass are derived from the relationship between satellite surface reflectance and empirical measurements of kelp canopy biomass in long-term SBC LTER study plots obtained using SCUBA. The different Landsat sensors were calibrated to each other using simulated Landsat data derived from hyperspectral imagery. Missing data due to the ETM+ scan line corrector error were filled using a synchrony-based gap filling method.

Data are organized into a single NetCDF file and contain the quarterly means for each Landsat pixel across the three sensors. Relevant metadata such as number of Landsat estimates from which the mean was derived, the number of estimates from each sensor, standard error for each quarterly estimate, spatial coordinates, and date are all included in the file. For assistance with the data, please contact sbclter@msi.ucsb.edu.

Short Name: Kelp biomass from landsat 5, 7, and 8
Publication Date: 2017-11-13
Language: English
Time Period:
Begin:
1984-03-23
End:
2016-12-31
Detailed Data Description and Download:
Satellite kelp biomass between 1984 and 2016 (ongoing)
Wet biomass (kg) of giant kelp (Macrocystis pyrifera) from Landsat 5, 7 and 8 imagery, in central and southern California
People and Organizations:
View complete information for all parties
Contact: Information Manager, Santa Barbara Coastal LTER [  email ]
Organization Santa Barbara Coastal LTER
Owner: Bell, Tom W 
Owner: Cavanaugh, Kyle C 
Owner: Siegel, David A 

Data Set Citation

How to cite this data set: Bell, T. , K. Cavanaugh and D. Siegel. 2017. SBC LTER: Time series of quarterly NetCDF files of kelp biomass in the canopy from Landsat 5, 7 and 8, 1984 - 2016 (ongoing). Santa Barbara Coastal Long Term Ecological Research Project. knb-lter-sbc.74.10

No permanent identifer exists yet for this data package. For more information, send an email request for more information about this package's identifiers to use in a citation.

Key Words and Terms

By Thesaurus:
LTER Core Research Areas populations
LTER Controlled Vocabulary v1 biomass, canopy, LTER, populations, Santa Barbara Coastal
SBC-LTER Controlled Vocabulary Kelp Forest, nearshore ocean, populations, remote sensing
Santa Barbara Coastal LTER Places Anacapa Island, San Clemente Island, San Miguel Island, San Nicolas Island, Santa Barbara Channel Islands, Santa Barbara County, Santa Barbara Island, Santa Catalina Island, Santa Cruz Island, Santa Rosa Island
Global Change Master Directory (GCMD) v6.0.0.0.0 Biomass, Biomass Dynamics
Knowledge Network for Biocomplexity Biomass
NBII Biocomplexity Biomass
biomass, kelp biomass, Landsat 5, Landsat 7, Landsat 8, LTER, remote sensing, satellite, wet weight

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