Abstract
Remote Sensing is both an active research area and the source of valuable information for decision-making. Many actors play a fundamental role in Remote Sensing, from industry (public or private) to large or small research groups. From that intensive activity, methods, algorithms, and techniques are continuously published or broadcasted through papers, conference presentations, repositories, patents, standards, and other means. The consumers of that information need it to be readily available and dependable. Reproducible research can handle those needs. In this article, we discuss two concepts: reproducibility and replicability in the context of Remote Sensing research. We propose a badging system suited to the specifics of the Remote Sensing community. Such a system aims at both recognizing the level of the reproducibility of the research, and to help increase its visibility. We show examples of reproducible research and provide clues to make easier the transition to the inevitable new times that embrace contemporary science and technology.
Highlights
Remote Sensing is both an active research area and the source of valuable information for decision-making
We will discuss two core concepts: reproducibility and replicability in the context of Remote Sensing research. Such simplification aims at arriving at the suggestion of good scientific practices and a badging system for the Remote Sensing publication ecosystem
Believe that the Remote Sensing community needs to adhere to good practices of reproducibility and replicability
Summary
R EPRODUCIBILITY is at the core of experimental sciences. It is a basilar element of scientific integrity. We will discuss two core concepts: reproducibility and replicability in the context of Remote Sensing research. Such simplification aims at arriving at the suggestion of good scientific practices and a badging system for the Remote Sensing publication ecosystem. C. FRERY et al.: BADGING SYSTEM FOR REPRODUCIBILITY AND REPLICABILITY IN REMOTE SENSING RESEARCH. Believe that the Remote Sensing community needs to adhere to good practices of reproducibility and replicability. In this line, we propose a badging system that recognizes works that, fully or partially, adhere to such practices. We believe that a similar, even if more straightforward, badging system will have a great positive impact in the Remote Sensing community
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More From: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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