{
  "abstract": "This study utilizes the Google Earth Engine (GEE) platform, integrating Landsat and Sentinel-2 imagery from 1987 to 2022 alongside terrain data to develop a technical system for “vegetation cover inversion–classification–vertical belt spectrum analysis.” The Fractional Vegetation Cover (FVC) is estimated using a pixel dichotomy model, while spatiotemporal changes are evaluated through Theil-Sen trend analysis and Mann-Kendall tests. A multi-feature combination scheme has been designed, employing random forest models to enhance forest classification and analyze altitude zoning characteristics. The findings indicate that: (1) Over nearly 36 years, FVC in Fanjing Mountain has demonstrated a pattern of “fluctuating decline–adjustment–jump increase,” with 2007 serving as a pivotal turning point; notably, 41.65% of the area exhibited significant improvement, particularly in the southern region; (2) The classification model that integrates terrain features, red-edge index, and texture attributes (T9 scheme) achieves an overall accuracy of 77.88%, with terrain factors being the most influential in significantly enhancing the identification of shrub meadows and evergreen broadleaf forests; (3) Distinct vertical zoning of vegetation is observed: evergreen broadleaf forests dominate lower to mid-elevations (750–1550 m), deciduous broadleaf forests and coniferous forests are found at mid-to-high elevations, while shrub meadows are concentrated above 2400 m, forming a gradient succession sequence. This study provides methodological support and scientific evidence for ecological conservation efforts in subtropical mountain regions.",
  "abstract_shown": true,
  "affiliations": [
    "College of Geography and Environmental Science, Guizhou Normal University, Guiyang, China",
    "Guizhou Mountain Resources and Environmental Remote Sensing Application Laboratory, Guiyang, China"
  ],
  "article_type": "Research Article",
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Rongrong Wang"
    },
    {
      "affs": [
        1
      ],
      "name": "Wengang Cui"
    },
    {
      "name": "Suihua Liu"
    },
    {
      "name": "Ting Yu"
    },
    {
      "name": "Fei Ning"
    },
    {
      "name": "Qingsong Xu"
    },
    {
      "name": "Dan Hu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/cpnmjrzqh0h6g.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.pone.0359961",
  "fulltext_url": null,
  "id": "cpnmjrzqh0h6g",
  "issns": [
    "1932-6203"
  ],
  "landing_url": "https://doi.org/10.1371/journal.pone.0359961",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2303|Remote Sensing in Agriculture"
    ],
    [
      "plos",
      "/Biology and life sciences/Ecology/Ecosystems/Forests"
    ],
    [
      "plos",
      "/Biology and life sciences/Ecology/Forest ecology"
    ],
    [
      "plos",
      "/Biology and life sciences/Organisms/Eukaryota/Plants/Trees"
    ],
    [
      "plos",
      "/Computer and information sciences/Geoinformatics/Remote sensing imagery"
    ],
    [
      "plos",
      "/Earth sciences/Geography/Geoinformatics/Remote sensing imagery"
    ],
    [
      "plos",
      "/Earth sciences/Geomorphology/Terrain"
    ],
    [
      "plos",
      "/Earth sciences/Geomorphology/Topography/Landforms/Mountains"
    ],
    [
      "plos",
      "/Ecology and environmental sciences/Conservation science"
    ],
    [
      "plos",
      "/Ecology and environmental sciences/Ecology/Ecosystems/Forests"
    ],
    [
      "plos",
      "/Ecology and environmental sciences/Ecology/Forest ecology"
    ],
    [
      "plos",
      "/Ecology and environmental sciences/Terrestrial environments/Forests"
    ],
    [
      "plos",
      "/Ecology and environmental sciences/Terrestrial environments/Mountains"
    ],
    [
      "plos",
      "/Engineering and technology/Remote sensing"
    ],
    [
      "plos",
      "/Engineering and technology/Remote sensing/Remote sensing imagery"
    ],
    [
      "plos",
      "/Research and analysis methods/Imaging techniques/Remote sensing imagery"
    ]
  ],
  "openalex": "W7220859029",
  "pdf_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0359961&type=printable",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-07",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/cpnmjrzqh0h6g.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:30Z",
      "native_id": "10.1371/journal.pone.0359961",
      "source": "plos",
      "url": "https://doi.org/10.1371/journal.pone.0359961"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "plos:ecology",
      "subfield": "ecology"
    }
  ],
  "title": "Vegetation cover change and classification-based zonation of Fanjing Mountain using google earth engine",
  "title_text": "Vegetation cover change and classification-based zonation of Fanjing Mountain using google earth engine",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:30Z",
  "url": "https://research.draconitic.com/paper/cpnmjrzqh0h6g",
  "venue": "PLOS One",
  "versions": []
}