Optimized extraction of daily bio-optical time series derived from MODIS/Aqua imagery for Lake Tanganyika, Africa
| dc.contributor.author | Horion, S. | |
| dc.contributor.author | Bergamino, N. | |
| dc.contributor.author | Stenuite, S. | |
| dc.contributor.author | Descy, J-P. | |
| dc.contributor.author | Plisnier, P-D. | |
| dc.contributor.author | Loiselle , S.A. | |
| dc.contributor.author | Cornet , Y. | |
| dc.date | 2010 | |
| dc.date.accessioned | 2016-03-15T10:03:47Z | |
| dc.date.available | 2016-03-15T10:03:47Z | |
| dc.identifier.uri | https://orfeo.belnet.be/handle/internal/793 | |
| dc.description | Lake Tanganyika is one of the world's great freshwater ecosystems. In recent decades its hydrodynamic<br>characteristics have undergone important changes that have had consequences on the lake's primary<br>productivity. The establishment of a long-term Ocean Color dataset for Lake Tanganyika is a fundamental tool<br>for understanding and monitoring these changes. We developed an approach to create a regionally calibrated<br>dataset of chlorophyll-a concentrations (CHL) and attenuation coefficients at 490 nm (K490) for the period<br>from July 2002 to December 2006 using daily calibrated radiances retrieved from the MODIS-Aqua sensor.<br>Standard MODIS Aqua Ocean Color products were found to not provide a suitable calibration for high altitude<br>lakes such as the Lake Tanganyika. An optimization of the extraction process and the validation of the dataset<br>were performed with independent sets of in situ measurements. Our results show that for the geographical,<br>atmospheric and optical conditions of Lake Tanganyika: (i) a coastal aerosol model set with high relative<br>humidity (90%) provides a suitable atmospheric correction; (ii) a significant correlation between in situ data<br>and CHL estimates using the MODIS specific OC3 algorithm is possible; and (iii) K490 estimates provide a<br>good level of significance. The resulting validated time series of bio-optical properties provides a fundamental<br>information base for the study of phytoplankton and primary production dynamics and interannual<br>trends. A comparison between surface chlorophyll-a concentrations estimated from field monitoring and<br>from the MODIS based dataset shows that remote sensing allows improved detection of surface blooms in<br>Lake Tanganyika | |
| dc.language | eng | |
| dc.publisher | Elsevier | |
| dc.title | Optimized extraction of daily bio-optical time series derived from MODIS/Aqua imagery for Lake Tanganyika, Africa | |
| dc.type | Article | |
| dc.subject.frascati | Earth and related Environmental sciences | |
| dc.audience | Scientific | |
| dc.subject.free | Surface environments and collection management | |
| dc.source.title | Remote Sensing of Environment | |
| dc.source.volume | 114 (4) | |
| dc.source.page | 781-791 | |
| Orfeo.peerreviewed | Yes | |
| dc.identifier.doi | 10.1016/j.rse.2009.11.012 | |
| dc.identifier.rmca | 619 |
