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pro vyhledávání: '"Juan Emmanuel Johnson"'
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 949-956 (2020)
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020, V-2-2020, pp.949-956. ⟨10.5194/isprs-annals-V-2-2020-949-2020⟩
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020, V-2-2020, pp.949-956. ⟨10.5194/isprs-annals-V-2-2020-949-2020⟩
Understanding and quantifying ocean carbon sinks of the planet is of paramount relevance in the current scenario of global change. Particulate organic carbon (POC) is a key biogeochemical parameter that helps us characterize export processes of the o
Publikováno v:
IEEE Geoscience and Remote Sensing Letters
Gaussian processes (GPs) are a class of Kernel methods that have shown to be very useful in geoscience and remote sensing applications for parameter retrieval, model inversion, and emulation. They are widely used because they are simple, flexible, an
Publikováno v:
Journal of Coastal Research. 322:1333-1343
Weaver, R.J.; Johnson, J.E., and Ridler, M., 2016. Wind-driven circulation in a shallow microtidal estuary: The Indian River Lagoon. Studying wind-driven fluctuations in the surface elevation along the Indian River Lagoon (IRL) allows researchers to
Publikováno v:
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium
IGARSS
IGARSS
Gaussian Processes (GPs) are a class of kernel methods that have shown to be very useful in geoscience applications. They are widely used because they are simple, flexible and provide very accurate estimates for nonlinear problems, especially in para