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A data science challenge for converting airborne remote sensing data into ecological information

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RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: @tpoi "the groups which performed best involved people with [domain] expertise, which appeared useful in processing and sel…
@tpoi "the groups which performed best involved people with [domain] expertise, which appeared useful in processing and selecting meaningful features from the data." - @sergio_marconi (et al.) https://t.co/1FHDeZDs7K
63 days ago
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
64 days ago
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
64 days ago
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
RT @ethanwhite: The results of our data science competition on converting @NEON_sci remote sensing data into information on individual tree…
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Additional Information

Competing Interests

Marion Le Bras, Bonnie J. Dorr, Peter Fontana and Craig Greenberg are employee of the National Institute of Standards and Technology (NIST), which funded this study.

As is standard for government agencies the paper underwent internal review by NIST. Comments from these four authors and that review were incorporated into the manuscript, but focused on communication of ideas not interpretation of results.

Ethan P White is an Academic Editor for PeerJ.

Author Contributions

Sergio Marconi conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Sarah J. Graves conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Dihong Gong conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Morteza Shahriari Nia conceived and designed the experiments, performed the experiments, contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft.

Marion Le Bras contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft.

Bonnie J. Dorr contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft.

Peter Fontana contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft.

Justin Gearhart contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft.

Craig Greenberg contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft.

Dave J. Harris conceived and designed the experiments, contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft.

Sugumar Arvind Kumar performed the experiments, contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft.

Agarwal Nishant performed the experiments, contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft.

Joshi Prarabdh performed the experiments, contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft.

Sundeep U. Rege performed the experiments, contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft.

Stephanie Ann Bohlman conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Ethan P. White conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Daisy Zhe Wang conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Data Deposition

The following information was supplied regarding data availability:

ECODSE competition training set

https://doi.org/10.5281/zenodo.867645

Funding

This research competition was supported, in part, by a research grant from NIST IAD Data Science Research Program, by the Gordon and Betty Moore Foundation’s Data-Driven Discovery Initiative through grant GBMF4563 to E.P. White, and by the NSF Dimension of Biodiversity program grant (DEB-1442280) to S. Bohlman. As is standard for government agencies the paper underwent internal review by NIST. Comments from these four authors and that review were incorporated into the manuscript, but focused on communication of ideas not interpretation of results.


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