Related publication of the modelling published in OCEANS 2021
Detecting macro floating objects on coastal water bodies using sentinel-2 data
Environmental Data Science Book Community
Publication with further details of the modelling published in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Towards detecting floating objects on a global scale with learned spatial features using sentinel 2
Contains input analysis-ready input images used in the Jupyter notebook of Detecting floating objects using deep learning and Sentinel-2 imagery
Contains outputs, (predictions and interactive figure), generated in the Jupyter notebook of Detecting floating objects using deep learning and Sentinel-2 imagery
Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book
Online rendered version of the Jupyter notebook
Lock conda file for linux-64 OS of the Jupyter Book hosted by the Environmental Data Science Book
Lock conda file for osx-64 OS of the Jupyter Book hosted by the Environmental Data Science Book
Pip requirements file containing libraries to install after conda lock
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Conda environment when user want to have the same libraries installed without concerns of package versions
Jupyter Notebook hosted by the Environmental Data Science Book
The research object refers to the Detecting floating objects using deep learning and Sentinel-2 imagery notebook published in the Environmental Data Science book.
Detecting floating objects using deep learning and Sentinel-2 imagery (Jupyter Notebook) published in the Environmental Data Science book - snapshot
Detecting floating objects using deep learning and Sentinel-2 imagery (Jupyter Notebook) published in the Environmental Data Science book
Raquel Carmo, Jamila Mifdal, and Alejandro Coca-Castro. "Detecting floating objects using deep learning and Sentinel-2 imagery (Jupyter Notebook) published in the Environmental Data Science book." ROHub. Jan 28 ,2022. https://doi.org/10.24424/g1bk-dv49.
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Detecting floating objects using deep learning and Sentinel-2 imagery (Jupyter Notebook) published in the Environmental Data Science book.