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37f83bf70baac0088b82 · A data science challenge for converting airborne remote sensing data into ecological information

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

In recent years ecology has reached the point where a data science competition could be very productive. Large amounts of open data are increasingly available and areas of shared interest around which to center competitions are increasingly prominent. The

Официальный источник · 2019-02-28

Полные импортированные сведения карточки
{
  "title_en": "A data science challenge for converting airborne remote sensing data into ecological information",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2019-02-28",
  "date_original": "February 28, 2019",
  "url": "https://www.nist.gov/publications/data-science-challenge-converting-airborne-remote-sensing-data-ecological-information",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Sergio Marconi, Sarah J. Graves, Dihong Gong, Shahriari Nia Morteza, Marion Le Bras , Bonnie J. Dorr , Peter Fontana , Justin Gearhart, Craig Greenberg , Dave J. Harris, Sugumar A. Kumar, Agarwal Nishant, Joshi Prarabdh, Sandeep U. Rege, Stephanie A. Bohlman, Ethan P. White, Daisy Z. Wang",
  "abstract_excerpt_en": "In recent years ecology has reached the point where a data science competition could be very productive. Large amounts of open data are increasingly available and areas of shared interest around which to center competitions are increasingly prominent. The",
  "id": "37f83bf70baac0088b82",
  "sources": [
    "NIST Publications"
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    {
      "title_en": "A data science challenge for converting airborne remote sensing data into ecological information",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2019-02-28",
      "date_original": "February 28, 2019",
      "url": "https://www.nist.gov/publications/data-science-challenge-converting-airborne-remote-sensing-data-ecological-information",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Sergio Marconi, Sarah J. Graves, Dihong Gong, Shahriari Nia Morteza, Marion Le Bras , Bonnie J. Dorr , Peter Fontana , Justin Gearhart, Craig Greenberg , Dave J. Harris, Sugumar A. Kumar, Agarwal Nishant, Joshi Prarabdh, Sandeep U. Rege, Stephanie A. Bohlman, Ethan P. White, Daisy Z. Wang",
      "abstract_excerpt_en": "In recent years ecology has reached the point where a data science competition could be very productive. Large amounts of open data are increasingly available and areas of shared interest around which to center competitions are increasingly prominent. The"
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