{
  "id": 480732,
  "title": "It may be useful",
  "url": "/competitions/geolifeclef-2024/discussion/480732",
  "author_name": "",
  "post_date": "2024-02-29T19:46:34.752064Z",
  "votes": 4,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Here are a few articles that might be useful for your research:</p>\n<p>\"Deep Learning for Satellite Image Classification: A Comparative Review\" - This article provides an overview of various deep learning methods for satellite image classification, which could be useful for your use of satellite images as predictors. (Source: <a href=\"https://www.mdpi.com/2072-4292/11/6/654\" target=\"_blank\">https://www.mdpi.com/2072-4292/11/6/654</a>)</p>\n<p>\"Predicting Plant Species Diversity of Boreal Wetlands Using Satellite Remote Sensing\" - This article explores predicting plant species diversity using satellite remote sensing, which could be related to your research. (Source: <a href=\"https://www.mdpi.com/2072-4292/9/7/675\" target=\"_blank\">https://www.mdpi.com/2072-4292/9/7/675</a>)</p>\n<p>I'm not sure if this beats the competition theme too much, but I wanted to study these materials</p>",
  "messages": [
    {
      "id": "2675266",
      "postDate": "02/29/2024 19:46:34",
      "content": "<p>Here are a few articles that might be useful for your research:</p>\n<p>\"Deep Learning for Satellite Image Classification: A Comparative Review\" - This article provides an overview of various deep learning methods for satellite image classification, which could be useful for your use of satellite images as predictors. (Source: <a href=\"https://www.mdpi.com/2072-4292/11/6/654\" target=\"_blank\">https://www.mdpi.com/2072-4292/11/6/654</a>)</p>\n<p>\"Predicting Plant Species Diversity of Boreal Wetlands Using Satellite Remote Sensing\" - This article explores predicting plant species diversity using satellite remote sensing, which could be related to your research. (Source: <a href=\"https://www.mdpi.com/2072-4292/9/7/675\" target=\"_blank\">https://www.mdpi.com/2072-4292/9/7/675</a>)</p>\n<p>I'm not sure if this beats the competition theme too much, but I wanted to study these materials</p>",
      "rawMarkdown": "Here are a few articles that might be useful for your research:\n\n\"Deep Learning for Satellite Image Classification: A Comparative Review\" - This article provides an overview of various deep learning methods for satellite image classification, which could be useful for your use of satellite images as predictors. (Source: https://www.mdpi.com/2072-4292/11/6/654)\n\n\"Predicting Plant Species Diversity of Boreal Wetlands Using Satellite Remote Sensing\" - This article explores predicting plant species diversity using satellite remote sensing, which could be related to your research. (Source: https://www.mdpi.com/2072-4292/9/7/675)\n\nI'm not sure if this beats the competition theme too much, but I wanted to study these materials",
      "votes": null
    },
    {
      "id": "2675303",
      "postDate": "02/29/2024 20:18:35",
      "content": "<p>Hi there,</p>\n<p>thank you for your interest in GLC24. For related work, you can also check previous editions of GeoLifeCLEF. <br>\nWe do an overview paper every year, and participants usually write technical reports and sometimes open-source their models as well.<br>\nHere are some of the overviews and last year's winner papers.</p>\n<ul>\n<li><a href=\"https://ceur-ws.org/Vol-3497/paper-181.pdf\" target=\"_blank\">GLC23 Winner</a></li>\n<li><a href=\"https://hal.science/hal-04322255/file/paper-166%20%281%29.pdf\" target=\"_blank\">GLC23 Overview</a></li>\n<li><a href=\"https://hal-lirmm.ccsd.cnrs.fr/lirmm-03793595/file/paper-155.pdf\" target=\"_blank\">GLC22 Overview</a></li>\n<li><a href=\"http://ceur-ws.org/Vol-2936/paper-124.pdf\" target=\"_blank\">GLC21 Overview</a></li>\n</ul>\n<p>Best,<br>\nLukas</p>",
      "rawMarkdown": "Hi there,\n\nthank you for your interest in GLC24. For related work, you can also check previous editions of GeoLifeCLEF. \nWe do an overview paper every year, and participants usually write technical reports and sometimes open-source their models as well.\nHere are some of the overviews and last year's winner papers.\n- [GLC23 Winner](https://ceur-ws.org/Vol-3497/paper-181.pdf)\n- [GLC23 Overview](https://hal.science/hal-04322255/file/paper-166%20%281%29.pdf)\n- [GLC22 Overview](https://hal-lirmm.ccsd.cnrs.fr/lirmm-03793595/file/paper-155.pdf)\n- [GLC21 Overview](http://ceur-ws.org/Vol-2936/paper-124.pdf)\n\nBest,\nLukas",
      "votes": null
    },
    {
      "id": "2680031",
      "postDate": "03/03/2024 23:18:26",
      "content": "<p>thanks for the resources</p>",
      "rawMarkdown": "thanks for the resources",
      "votes": null
    },
    {
      "id": "2782800",
      "postDate": "04/29/2024 13:04:58",
      "content": "<p>Thank you for sharing!</p>",
      "rawMarkdown": "Thank you for sharing!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2675303,
      "author_name": "picekl",
      "author_url": "",
      "post_date": "02/29/2024 20:18:35",
      "content": "<p>Hi there,</p>\n<p>thank you for your interest in GLC24. For related work, you can also check previous editions of GeoLifeCLEF. <br>\nWe do an overview paper every year, and participants usually write technical reports and sometimes open-source their models as well.<br>\nHere are some of the overviews and last year's winner papers.</p>\n<ul>\n<li><a href=\"https://ceur-ws.org/Vol-3497/paper-181.pdf\" target=\"_blank\">GLC23 Winner</a></li>\n<li><a href=\"https://hal.science/hal-04322255/file/paper-166%20%281%29.pdf\" target=\"_blank\">GLC23 Overview</a></li>\n<li><a href=\"https://hal-lirmm.ccsd.cnrs.fr/lirmm-03793595/file/paper-155.pdf\" target=\"_blank\">GLC22 Overview</a></li>\n<li><a href=\"http://ceur-ws.org/Vol-2936/paper-124.pdf\" target=\"_blank\">GLC21 Overview</a></li>\n</ul>\n<p>Best,<br>\nLukas</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2680031,
      "author_name": "shreyganatra",
      "author_url": "",
      "post_date": "03/03/2024 23:18:26",
      "content": "<p>thanks for the resources</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2782800,
      "author_name": "libbyphi",
      "author_url": "",
      "post_date": "04/29/2024 13:04:58",
      "content": "<p>Thank you for sharing!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2675266": "Here are a few articles that might be useful for your research:\n\n\"Deep Learning for Satellite Image Classification: A Comparative Review\" - This article provides an overview of various deep learning methods for satellite image classification, which could be useful for your use of satellite images as predictors. (Source: https://www.mdpi.com/2072-4292/11/6/654)\n\n\"Predicting Plant Species Diversity of Boreal Wetlands Using Satellite Remote Sensing\" - This article explores predicting plant species diversity using satellite remote sensing, which could be related to your research. (Source: https://www.mdpi.com/2072-4292/9/7/675)\n\nI'm not sure if this beats the competition theme too much, but I wanted to study these materials",
    "2675303": "Hi there,\n\nthank you for your interest in GLC24. For related work, you can also check previous editions of GeoLifeCLEF. \nWe do an overview paper every year, and participants usually write technical reports and sometimes open-source their models as well.\nHere are some of the overviews and last year's winner papers.\n- [GLC23 Winner](https://ceur-ws.org/Vol-3497/paper-181.pdf)\n- [GLC23 Overview](https://hal.science/hal-04322255/file/paper-166%20%281%29.pdf)\n- [GLC22 Overview](https://hal-lirmm.ccsd.cnrs.fr/lirmm-03793595/file/paper-155.pdf)\n- [GLC21 Overview](http://ceur-ws.org/Vol-2936/paper-124.pdf)\n\nBest,\nLukas",
    "2680031": "thanks for the resources",
    "2782800": "Thank you for sharing!"
  },
  "source": "meta"
}