Using 3D modeling and remote sensing capabilities for a better understanding of spatio-temporal heterogeneities of phytoplankton abundance in large lakes
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Great Lakes Research"
DOI: 10.1016/j.jglr.2018.05.008
Abstract: Lake biological parameters show important spatio-temporal heterogeneities. This is why explaining the spatial patchiness of phytoplankton abundance has been a recurrent ecological issue and is an essential prerequisite for objectively assessing, protecting and restoring freshwater… read more here.
Keywords: phytoplankton abundance; using modeling; spatio temporal; temporal heterogeneities ... See more keywords
Modeling the remote-sensing reflectance of highly turbid waters.
Sign Up to like & getrecommendations! Published in 2019 at "Applied optics"
DOI: 10.1364/ao.58.002671
Abstract: In ocean-color remote sensing, subsurface remote-sensing reflectance (r r s ) of optically deep waters can be linked to its absorption (a) and backscattering coefficients (b b ) by various models. The use of such… read more here.
Keywords: reflectance highly; remote sensing; highly turbid; modeling remote ... See more keywords