Cargando…
Chlorophyll-a Estimation Around the Antarctica Peninsula Using Satellite Algorithms: Hints from Field Water Leaving Reflectance
Ocean color remote sensing significantly contributes to our understanding of phytoplankton distribution and abundance and primary productivity in the Southern Ocean (SO). However, the current SO in situ optical database is still insufficient and unevenly distributed. This limits the ability to produ...
Autores principales: | Zeng, Chen, Xu, Huiping, Fischer, Andrew M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5191056/ https://www.ncbi.nlm.nih.gov/pubmed/27941596 http://dx.doi.org/10.3390/s16122075 |
Ejemplares similares
-
Dissection of hyperspectral reflectance to estimate nitrogen and chlorophyll contents in tea leaves based on machine learning algorithms
por: Yamashita, Hiroto, et al.
Publicado: (2020) -
Determination of the quantitative content of chlorophylls
in leaves by reflection spectra using the random forest algorithm
por: Urbanovich, E.A., et al.
Publicado: (2021) -
Prediction of Sea Level Nonlinear Trends around Shandong Peninsula from Satellite Altimetry
por: Zhao, Jian, et al.
Publicado: (2019) -
Optical Method for Estimating the Chlorophyll Contents in Plant Leaves
por: Pérez-Patricio, Madaín, et al.
Publicado: (2018) -
Up, Down, and All Around: Scale-Dependent Spatial Variation in Rocky-Shore Communities of Fildes Peninsula, King George Island, Antarctica
por: Valdivia, Nelson, et al.
Publicado: (2014)