Application of the Hyperspectral Imager for the Coastal Ocean to Phytoplankton Ecology Studies in Monterey Bay, CA, USA
As a demonstrator for technologies for the next generation of ocean color sensors, the Hyperspectral Imager for the Coastal Ocean (HICO) provides enhanced spatial and spectral resolution that is required to understand optically complex aquatic environments. In this study we apply HICO, along with sa...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2014-01-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2072-4292/6/2/1007 |
| _version_ | 1798019239854997504 |
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| author | John P. Ryan Curtiss O. Davis Nicholas B. Tufillaro Raphael M. Kudela Bo-Cai Gao |
| author_facet | John P. Ryan Curtiss O. Davis Nicholas B. Tufillaro Raphael M. Kudela Bo-Cai Gao |
| author_sort | John P. Ryan |
| collection | DOAJ |
| description | As a demonstrator for technologies for the next generation of ocean color sensors, the Hyperspectral Imager for the Coastal Ocean (HICO) provides enhanced spatial and spectral resolution that is required to understand optically complex aquatic environments. In this study we apply HICO, along with satellite remote sensing and in situ observations, to studies of phytoplankton ecology in a dynamic coastal upwelling environment—Monterey Bay, CA, USA. From a spring 2011 study, we examine HICO-detected spatial patterns in phytoplankton optical properties along an environmental gradient defined by upwelling flow patterns and along a temporal gradient of upwelling intensification. From a fall 2011 study, we use HICO’s enhanced spatial and spectral resolution to distinguish a small-scale “red tide” bloom, and we examine bloom expansion and its supporting processes using other remote sensing and in situ data. From a spectacular HICO image of the Monterey Bay region acquired during fall of 2012, we present a suite of algorithm results for characterization of phytoplankton, and we examine the strengths, limitations, and distinctions of each algorithm in the context of the enhanced spatial and spectral resolution. |
| first_indexed | 2024-04-11T16:37:28Z |
| format | Article |
| id | doaj.art-c03fcdb20b6e4ccda0ce793d656a17d6 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-11T16:37:28Z |
| publishDate | 2014-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-c03fcdb20b6e4ccda0ce793d656a17d62022-12-22T04:13:47ZengMDPI AGRemote Sensing2072-42922014-01-01621007102510.3390/rs6021007rs6021007Application of the Hyperspectral Imager for the Coastal Ocean to Phytoplankton Ecology Studies in Monterey Bay, CA, USAJohn P. Ryan0Curtiss O. Davis1Nicholas B. Tufillaro2Raphael M. Kudela3Bo-Cai Gao4Monterey Bay Aquarium Research Institute, 7700 Sandholdt Road, Moss Landing, CA 95039, USACollege of Earth, Ocean and Atmospheric Sciences, Oregon State University, 104 CEOAS Admin. Bldg., Corvallis, OR 97331, USACollege of Earth, Ocean and Atmospheric Sciences, Oregon State University, 104 CEOAS Admin. Bldg., Corvallis, OR 97331, USAOcean Science Department, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USARemote Sensing Division, Code 7232, Naval Research Laboratory, Washington, DC 20375, USAAs a demonstrator for technologies for the next generation of ocean color sensors, the Hyperspectral Imager for the Coastal Ocean (HICO) provides enhanced spatial and spectral resolution that is required to understand optically complex aquatic environments. In this study we apply HICO, along with satellite remote sensing and in situ observations, to studies of phytoplankton ecology in a dynamic coastal upwelling environment—Monterey Bay, CA, USA. From a spring 2011 study, we examine HICO-detected spatial patterns in phytoplankton optical properties along an environmental gradient defined by upwelling flow patterns and along a temporal gradient of upwelling intensification. From a fall 2011 study, we use HICO’s enhanced spatial and spectral resolution to distinguish a small-scale “red tide” bloom, and we examine bloom expansion and its supporting processes using other remote sensing and in situ data. From a spectacular HICO image of the Monterey Bay region acquired during fall of 2012, we present a suite of algorithm results for characterization of phytoplankton, and we examine the strengths, limitations, and distinctions of each algorithm in the context of the enhanced spatial and spectral resolution.http://www.mdpi.com/2072-4292/6/2/1007phytoplanktonremote sensingMonterey Bayupwelling |
| spellingShingle | John P. Ryan Curtiss O. Davis Nicholas B. Tufillaro Raphael M. Kudela Bo-Cai Gao Application of the Hyperspectral Imager for the Coastal Ocean to Phytoplankton Ecology Studies in Monterey Bay, CA, USA Remote Sensing phytoplankton remote sensing Monterey Bay upwelling |
| title | Application of the Hyperspectral Imager for the Coastal Ocean to Phytoplankton Ecology Studies in Monterey Bay, CA, USA |
| title_full | Application of the Hyperspectral Imager for the Coastal Ocean to Phytoplankton Ecology Studies in Monterey Bay, CA, USA |
| title_fullStr | Application of the Hyperspectral Imager for the Coastal Ocean to Phytoplankton Ecology Studies in Monterey Bay, CA, USA |
| title_full_unstemmed | Application of the Hyperspectral Imager for the Coastal Ocean to Phytoplankton Ecology Studies in Monterey Bay, CA, USA |
| title_short | Application of the Hyperspectral Imager for the Coastal Ocean to Phytoplankton Ecology Studies in Monterey Bay, CA, USA |
| title_sort | application of the hyperspectral imager for the coastal ocean to phytoplankton ecology studies in monterey bay ca usa |
| topic | phytoplankton remote sensing Monterey Bay upwelling |
| url | http://www.mdpi.com/2072-4292/6/2/1007 |
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