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Software . 2017
License: http://www.apache.org/licenses/LICENSE-2.0
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License: http://www.apache.org/licenses/LICENSE-2.0
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A Python Implementation of the Harmonic ANalysis of Time Series (HANTS) Algorithm for Geospatial Data

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 28 Jun 2017Publisher:Zenodo
Authors: Espinoza-Dávalos, Gonzalo E.; Bastiaanssen, Wim G. M.; Bett, Boaz; Xueliang Cai;

doi: 10.5281/zenodo.820623 , 10.5281/zenodo.820657

A Python Implementation of the Harmonic ANalysis of Time Series (HANTS) Algorithm for Geospatial Data

Abstract

This is the first release of the python implementation for the Harmonic ANalysis of Time Series (HANTS) using geospatial data (https://github.com/gespinoza/hants).

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Keywords

Cloud removal, HANTS, Remote sensing, Harmonic Analysis of Time Series

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citations
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).
BIP!Citations provided by BIP!
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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2
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88
9
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