The IPOL Demo System: A Scalable Architecture of Microservices for Reproducible Research

Arévalo, Martín; Escobar, Carlos A.; Monasse, Pascal; Monzón, Nelson; Colom, Miguel

doi:10.1007/978-3-319-56414-2_1

Cited by 4 publications

(3 citation statements)

References 8 publications

(9 reference statements)

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“…IPOL was born as a fully reproducible research journal [11], [12]. After more than ten years of experience, we have implemented standard procedures to ensure reproducible publications beyond the minimal requirements mentioned before [13].…”

Section: A the Ipol Approachmentioning

confidence: 99%

“…This workshop 13 compares four cloud detectors, two of which are described in Section IV-A and Section IV-B. The two others are articles in preparation.…”

Section: E Workhop: Comparison Of Cloud Detectorsmentioning

confidence: 99%

“…https://gdal.org/index.html12 https://ipolcore.ipol.im/demo/clientApp/demo.html?id=7777700011713 https://ipolcore.ipol.im/demo/clientApp/demo.html?id=77777000116…”

mentioning

confidence: 99%

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Using the IPOL Journal for Online Reproducible Research in Remote Sensing

Colom

Dagobert

Franchis

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Reproducible research is needed to ensure that scientific results in the literature are reliable, unbiased, and verifiable by others. The journal Image Processing On Line (IPOL) publishes reproducible articles since 2010. This means publishing an algorithm by a literary description, a pseudo-code, its source code, a series of test examples, an online facility allowing to test the code on this data and other data submitted by the user, and finally an experimental archive. In this work we discuss how to publish and review reproducible research in the specific discipline of remote sensing. We put a special emphasis on the construction and proper documentation of public datasets. We show case studies of remote sensing articles publicly available in IPOL, which demonstrate the feasibility of reproducible research in this area. The methods and their application are explained, along with details on how the datasets were built and made available for evaluation, comparison, and scoring to eventually help establish a reliable state of the art of the discipline. Finally, we give specific recommendations for authors and editors willing to publish reproducible research in remote sensing.

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Section: A the Ipol Approachmentioning

confidence: 99%

“…This workshop 13 compares four cloud detectors, two of which are described in Section IV-A and Section IV-B. The two others are articles in preparation.…”

Section: E Workhop: Comparison Of Cloud Detectorsmentioning

confidence: 99%