Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Estimating the spatial and temporal variability of primary production from a combination of in situ and remote sensing data a southern Benguela case study
Includes abstract.
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Oceanography
2014
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613156735451136 |
|---|---|
| access_status_str | Open Access |
| author | Williamson, Robert I |
| author2 | Field, John G |
| author_browse | Field, John G Williamson, Robert I |
| author_facet | Field, John G Williamson, Robert I |
| author_sort | Williamson, Robert I |
| collection | Thesis |
| description | Includes abstract. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/6444 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:31:38.662Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Department of Oceanography |
| publisherStr | Department of Oceanography |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/6444 Estimating the spatial and temporal variability of primary production from a combination of in situ and remote sensing data a southern Benguela case study Williamson, Robert I Field, John G Shillington, Frank Jarre, Astrid Potgieter, Anet Oceanography Includes abstract. Includes bibliographical references. The aim of this thesis is to produce fine resolution estimates of primary production in three-dimensional space at the temporal scale that these events develop. It is hypothesized that complex relationships among time sequences of physical and biological processes that influence primary production can be automatically discovered from archives of data. This study uses an archive of in situ ship-board data containing subsurface temperature and phytoplankton distribution profiles. Each profile is associated in time and space with satellite remotely-sensed wind, sea surface temperature and surface chlorophyll a data. The bottom depth, season and location of each profile are also recorded. The archive of depth profiles is simplified by mapping each profile onto one of twelve representative profile clusters obtained using the k-means clustering algorithm so that each cluster contains a set of similar profiles and their corresponding data. Relationships between remotely sensed surface features and chlorophyll a profiles are first obtained from a static Bayesian network using same day data. This is then taken further by analysing time-series of satellite data to predict likely temperature and chlorophyll a profiles for each pixel of a 4 km resolution satellite image. 2014-08-13T19:43:15Z 2014-08-13T19:43:15Z 2013 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/6444 eng application/pdf Department of Oceanography Faculty of Science University of Cape Town |
| spellingShingle | Oceanography Williamson, Robert I Estimating the spatial and temporal variability of primary production from a combination of in situ and remote sensing data a southern Benguela case study |
| thesis_degree_str | Doctoral |
| title | Estimating the spatial and temporal variability of primary production from a combination of in situ and remote sensing data a southern Benguela case study |
| title_full | Estimating the spatial and temporal variability of primary production from a combination of in situ and remote sensing data a southern Benguela case study |
| title_fullStr | Estimating the spatial and temporal variability of primary production from a combination of in situ and remote sensing data a southern Benguela case study |
| title_full_unstemmed | Estimating the spatial and temporal variability of primary production from a combination of in situ and remote sensing data a southern Benguela case study |
| title_short | Estimating the spatial and temporal variability of primary production from a combination of in situ and remote sensing data a southern Benguela case study |
| title_sort | estimating the spatial and temporal variability of primary production from a combination of in situ and remote sensing data a southern benguela case study |
| topic | Oceanography |
| url | http://hdl.handle.net/11427/6444 |
| work_keys_str_mv | AT williamsonroberti estimatingthespatialandtemporalvariabilityofprimaryproductionfromacombinationofinsituandremotesensingdataasouthernbenguelacasestudy |