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Software . 2021
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Software . 2021
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Atmospheric Correction in Google Earth Engine [Python API]

Authors: Lizcano-Sandoval, Luis;

Atmospheric Correction in Google Earth Engine [Python API]

Abstract

This script allows to do atmospheric correction for list of images (or individual images) of Sentinel-2 and Landsat sensors, especifically for images over coastal or oceanic areas, using the GEE Python API in Jupyter Notebook. Some atmospheric correction settings can be modified in the parameters.py module to work with images over inland areas (See line 36 in that module). The script does AC automatically by providing the right satellite mission, list of image ID's, and a specific GEE Asset to export processed images to your personal GEE account. More sensors can be added by modifying the mission_specifics.py and parameters.py modules to properly work with the available collections in GEE and Py6S. Script modified from https://github.com/samsammurphy/gee-atmcorr-S2 By Luis Lizcano-Sandoval College of Marine Science, University of South Florida luislizcanos@usf.edu Created: 10/30/2020 Updated: 09/02/2021

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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