کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4459076 | 1621274 | 2012 | 8 صفحه PDF | دانلود رایگان |

The use of spaceborne medium resolution imaging spectrometers with neural network algorithms has proven a large potential for application with optically complex inland waters. We make use of this approach to investigate the bio-physical dynamics in a eutrophic lake, applying three different neural networks to a dataset of 16 images acquired in June through August 2011. Concurrent in-situ data are measured by means of automatically deployed instruments from a moored platform, resolving the vertical distribution of various parameters at sub-daily temporal resolution. Phytoplankton blooms occur in different stratification layers, allowing the assessment of their influence on remote sensing estimates. A qualitative synopsis of the biophysical processes in the lake is given, but parameterization with in-situ attenuation profiles and accurate IOP estimates is needed to significantly enhance quantitative matchup comparisons. Recommendations on the combination of in-situ and satellite measurements are therefore given as an outlook.
► The bio-physical dynamics in eutrophic lakes are assessed during 76 days.
► Frequent in-situ profile measurements and 16 MERIS images are used.
► Phytoplankton blooms are observed in two different strata.
► Quantitative comparison methods are assessed to account for stratification.
Journal: Remote Sensing of Environment - Volume 126, November 2012, Pages 232–239