NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Food Quality and Phytoplankton Community Composition in San Francisco Bay using Imaging Spectroscopy Data from the California HyspIRI Airborne CampaignThe San Francisco Bay (SFB) is the largest estuary on the west coast of the United States. It is an important transition zone between marine, freshwater, and inland terrestrial watersheds. The SFB is an important region for the cycling of nutrients and pollutants and it supports nurseries of ecologically and commercially important fisheries, including some threatened species. Phytoplankton community structure influences food web dynamics, and the taxonomy of the phytoplankton may be more important in determining primary food quality than environmental factors. As such, estimating food quality from phytoplankton community composition can be a robust tool to understand trophic transfer of energy. Recent work explores phytoplankton food quality in SFB through the use of microscopy and phytoplankton chemotaxonomy to evaluate how changes in phytoplankton composition may have influenced the recent trophic collapse of pelagic fishes in the northern part of the SFB. The objective of this study is to determine if the approach can also be applied to imaging spectroscopy data in order to quantify phytoplankton food quality from space. Imaging spectroscopy data of SFB from the Airborne VisibleInfrared Imaging Spectrometer (AVIRIS) was collected during the Hyperspectral Infrared (HyspIRI) Airborne Campaign in California (2013 2015) and used in this study. Estimates of ocean chlorophyll and phytoplankton community structure were determined using standard ocean chlorophyll algorithms and the PHYtoplankton Detection with Optics (PHYDOTax) algorithms. These were validated using in situ observations of phytoplankton composition using microscopic cell counts and phytoplankton chemotaxonomy from the US Geological Surveys ship surveys of the SFB. The findings from this study may inform the use of future high spectral resolution satellite sensors with the spatial resolution appropriate for coastal systems (e.g., HyspIRI) to assess food quality from space.
Document ID
20180008719
Acquisition Source
Ames Research Center
Document Type
Abstract
Authors
Palacios, Sherry L.
(Bay Area Environmental Research Inst. Moffett Field, CA, United States)
Peacock, Melissa B.
(California Univ. Santa Cruz, CA, United States)
Golini, Amber N.
(California Polytechnic State Univ. San Luis Obispo, CA, United States)
Cloern, James E.
(Geological Survey Menlo Park, CA, United States)
Senn, David B.
(San Francisco Estuary Institute & Aquatic Science Center Richmond, CA, United States)
Guild, Liane S.
(NASA Ames Research Center Moffett Field, CA, United States)
Kudela, Raphael Martin
(California Univ. Santa Cruz, CA, United States)
Date Acquired
December 26, 2018
Publication Date
December 16, 2018
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
ARC-E-DAA-TN38010
Meeting Information
Meeting: AGU Fall Meeting
Location: San Francisco, CA
Country: United States
Start Date: December 12, 2016
End Date: December 16, 2016
Sponsors: American Geophysical Union (AGU)
Funding Number(s)
CONTRACT_GRANT: NNX12AD05A
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
HyspIRI
No Preview Available