Modern science is build on systematic experimentation and observation.  The reproducibility and replicability of  the experiments and observations are central to science. However, reproducibility and replicability are not always guaranteed, sometimes referred to as 'crisis of reproducibility'. To analyze the extent of the crisis, we conducted a survey on the state of reproducibility in remote sensing. This survey was conducted as an online survey. The answers of the respondents are saved in this dataset in full-text CSV format.

Dataset Files

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[1] Timo Balz, "Survey on Reproducibility and Replicability in Remote Sensing", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/hkgh-9y21. Accessed: Apr. 22, 2024.
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doi = {10.21227/hkgh-9y21},
url = {http://dx.doi.org/10.21227/hkgh-9y21},
author = {Timo Balz },
publisher = {IEEE Dataport},
title = {Survey on Reproducibility and Replicability in Remote Sensing},
year = {2020} }
TY - DATA
T1 - Survey on Reproducibility and Replicability in Remote Sensing
AU - Timo Balz
PY - 2020
PB - IEEE Dataport
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Timo Balz. (2020). Survey on Reproducibility and Replicability in Remote Sensing. IEEE Dataport. http://dx.doi.org/10.21227/hkgh-9y21
Timo Balz, 2020. Survey on Reproducibility and Replicability in Remote Sensing. Available at: http://dx.doi.org/10.21227/hkgh-9y21.
Timo Balz. (2020). "Survey on Reproducibility and Replicability in Remote Sensing." Web.
1. Timo Balz. Survey on Reproducibility and Replicability in Remote Sensing [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/hkgh-9y21
Timo Balz. "Survey on Reproducibility and Replicability in Remote Sensing." doi: 10.21227/hkgh-9y21