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

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RT @ethanwhite: @johnthackara @NEON_sci For a fully explanation of the idea behind these competitions see our write up from the first round…
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2160 days ago
@johnthackara @NEON_sci For a fully explanation of the idea behind these competitions see our write up from the first round: https://t.co/uzzjFNaFAS
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2160 days ago
You can read more about the first round of the competition here: https://t.co/uzzjFNaFAS and Sign up for this new round of the competition here: https://t.co/6SJoNEUExI
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2271 days ago
RT @EarthLabCU: "This paper by Marconi et al., 2019 highlights a #DataScience competition [using @NEON_sci data] to encourage rapid advance…
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2271 days ago
RT @EarthLabCU: @NEON_sci @scholl_victoria "[Those tree level questions include:] crown segmentation, alignment between data sets, and spec…
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2271 days ago
RT @EarthLabCU: "This paper by Marconi et al., 2019 highlights a #DataScience competition [using @NEON_sci data] to encourage rapid advance…
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2272 days ago
RT @EarthLabCU: "This paper by Marconi et al., 2019 highlights a #DataScience competition [using @NEON_sci data] to encourage rapid advance…
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RT @EarthLabCU: "This paper by Marconi et al., 2019 highlights a #DataScience competition [using @NEON_sci data] to encourage rapid advance…
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RT @EarthLabCU: "This paper by Marconi et al., 2019 highlights a #DataScience competition [using @NEON_sci data] to encourage rapid advance…
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@NEON_sci @scholl_victoria "[Those tree level questions include:] crown segmentation, alignment between data sets, and species classification" https://t.co/0AqpvXDJvd @scholl_victoria
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2272 days ago
RT @EarthLabCU: "This paper by Marconi et al., 2019 highlights a #DataScience competition [using @NEON_sci data] to encourage rapid advance…
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"This paper by Marconi et al., 2019 highlights a #DataScience competition [using @NEON_sci data] to encourage rapid advancements in methods for the scientific ecology community interested in individual-tree level questions!" https://t.co/0AqpvXDJvd --@scholl_victoria https://t.co/fp0qP6jV8u
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2338 days ago
RT @ethanwhite: The results of our first data science competition on converting @NEON_sci remote sensing data into ecological information n…
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2466 days ago
RT @ethanwhite: The results of our first data science competition on converting @NEON_sci remote sensing data into ecological information n…
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2467 days ago
RT @ethanwhite: The results of our first data science competition on converting @NEON_sci remote sensing data into ecological information n…
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RT @ethanwhite: The results of our first data science competition on converting @NEON_sci remote sensing data into ecological information n…
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2483 days ago
RT @ethanwhite: The results of our first data science competition on converting @NEON_sci remote sensing data into ecological information n…
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RT @ethanwhite: The results of our first data science competition on converting @NEON_sci remote sensing data into ecological information n…
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2493 days ago
RT @ethanwhite: The results of our first data science competition on converting @NEON_sci remote sensing data into ecological information n…
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2493 days ago
RT @ethanwhite: The results of our first data science competition on converting @NEON_sci remote sensing data into ecological information n…
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RT @ethanwhite: The results of our first data science competition on converting @NEON_sci remote sensing data into ecological information n…
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RT @ethanwhite: The results of our first data science competition on converting @NEON_sci remote sensing data into ecological information n…
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RT @ethanwhite: The results of our first data science competition on converting @NEON_sci remote sensing data into ecological information n…
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A data science challenge for converting airborne remote sensing data into ecological information https://t.co/to3Zv9OBLk https://t.co/XIvNXdbugF
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RT @ethanwhite: The results of our first data science competition on converting @NEON_sci remote sensing data into ecological information n…
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