nrt: operational monitoring of satellite imagetime-series in Python

nrt is a Python package specifically designed for near real-time detection of anomalies in gridded spatio-temporal data, and particularly suited for monitoring forest disturbances from satellite image time-series.The core of the package provides a standardized Application Programming Interface (API) that facilitates interoperability and comparison across a variety of monitoring algorithms.These algorithms, selected from the scientific literature, are implemented in an optimized manner to enable efficient computation across large geographical areas.This development represents a significant advancement in environmental monitoring efforts, enhancing our ability to contribute to climate change mitigation, biodiversity conservation, and the preservation of natural heritage.

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Publication Details

Journal
The Journal of Open Source Software
Published
2024-08-15
DOI
https://doi.org/10.21105/joss.06815
Citations
2
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.69
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article

nrt: operational monitoring of satellite imagetime-series in Python

Loïc Paul Dutrieux, Jonas Viehweger
2 citations
The Journal of Open Source Software
Computational Physics and Python Applications
0.69
article

nrt: operational monitoring of satellite imagetime-series in Python

Loïc Paul Dutrieux, Jonas Viehweger
article en
2 citations

Abstract

nrt is a Python package specifically designed for near real-time detection of anomalies in gridded spatio-temporal data, and particularly suited for monitoring forest disturbances from satellite image time-series.The core of the package provides a standardized Application Programming Interface (API) that facilitates interoperability and comparison across a variety of monitoring algorithms.These algorithms, selected from the scientific literature, are implemented in an optimized manner to enable efficient computation across large geographical areas.This development represents a significant advancement in environmental monitoring efforts, enhancing our ability to contribute to climate change mitigation, biodiversity conservation, and the preservation of natural heritage.

The Journal of Open Source SoftwareVol. 9(100)
Philipps University of Marburg (DE), Joint Research Centre (IT), RWTH Aachen University (DE)
Openalex Percentile: Top 25%
Computational Physics and Python Applications
0.69
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nrt: operational monitoring of satellite imagetime-series in Python — Loïc Paul Dutrieux, Jonas Viehweger · The Journal of Open Source Software (2024) | TGRS Research Map | TGRS