{
  "abstract": "Implementing the EU Nature Restoration Regulation (EU NRR) requires Member States to monitor multiple indicators of forest biodiversity, yet the role of remote sensing (RS) in this process remains unclear. This review synthesises current evidence on the use of RS for monitoring forest biodiversity indicators defined in the NRR and identifies methodological gaps and operational priorities. Following a systematic review of 222 studies, we evaluate the suitability of different platforms, sensors, and scales of observation. Our results show that RS capabilities are strongly indicator and scale dependent, with no single approach suitable across all indicators. Airborne laser scanning is most effective for capturing forest structural attributes, including uneven-aged forest structure, while satellite multispectral imagery provides consistent, large-scale monitoring of forest connectivity. Tree species composition and diversity can be assessed using multi-sensor approaches, though accuracy declines in mixed and structurally complex forests. In contrast, the common forest bird index cannot currently be monitored using remote sensing, and deadwood indicators are limited by the resolution required for national monitoring. Key challenges include limited availability of repeated high-resolution data, difficulties in detecting high-resolution features, and reduced classification accuracy in complex forest systems. Overall, RS has strong potential to support monitoring when integrated with National Forest Inventories and multi-sensor data streams. Advancing towards operational implementation of RS within the NRR will require harmonised products, improved methods for complex forest conditions, and greater emphasis on temporal monitoring.",
  "abstract_shown": true,
  "affiliations": [
    "Swedish University of Agricultural Sciences, Department of Forest Resource Management, Skogsmarksgränd, 901 83, Umeå, Sweden; Corresponding author.",
    "Swedish University of Agricultural Sciences, Department of Forest Resource Management, Skogsmarksgränd, 901 83, Umeå, Sweden",
    "BOKU University, Department of Economics and Social Sciences, Feistmantelstraße 4, 1180 Vienna, Austria",
    "Finnish Geospatial Research Institute, Department of Remote Sensing and Photogrammetry, Vuorimiehentie 5, 02150 Espoo, Finland; Aalto University, Department of Built Environment, Otakaari 1B, 02150 Espoo, Finland",
    "Finnish Geospatial Research Institute, Department of Remote Sensing and Photogrammetry, Vuorimiehentie 5, 02150 Espoo, Finland",
    "Natural Resources Institute Finland (LUKE), Ecosystems and Modelling Group, Latokartanonkaari, 9, 00790, Helsinki, Finland"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Jacob Parry"
    },
    {
      "affs": [
        1
      ],
      "name": "Inka Bohlin"
    },
    {
      "affs": [
        1
      ],
      "name": "Karin Öhman"
    },
    {
      "affs": [
        2
      ],
      "name": "Stefanie Linser"
    },
    {
      "affs": [
        3
      ],
      "name": "Hanna Elisabet Sorokina"
    },
    {
      "affs": [
        4
      ],
      "name": "Yunsheng Wang"
    },
    {
      "affs": [
        5
      ],
      "name": "Adriano Mazziotta"
    },
    {
      "affs": [
        1
      ],
      "name": "Ruben Valbuena"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/8ahk1dmfd4y6c.bib",
  "cited_by": 0,
  "doi": "10.1016/j.ecolind.2026.115636",
  "fulltext_url": "http://www.sciencedirect.com/science/article/pii/S1470160X26010381",
  "id": "8ahk1dmfd4y6c",
  "issns": [
    "1470-160X",
    "1872-7034"
  ],
  "landing_url": "https://doi.org/10.1016/j.ecolind.2026.115636",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "QH540-549.5"
    ],
    [
      "openalex",
      "2303|Remote Sensing in Agriculture"
    ]
  ],
  "openalex": "W7204223329",
  "pdf_url": "https://www.sciencedirect.com/science/article/pii/S1470160X26010381/pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-30",
  "publisher": "Elsevier",
  "ris": "https://research.draconitic.com/paper/8ahk1dmfd4y6c.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:44:59Z",
      "native_id": "f0ccb09e90d14c73ac97f2f24701a592",
      "source": "doaj",
      "url": "https://doi.org/10.1016/j.ecolind.2026.115636"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "openalex:2303|Remote Sensing in Agriculture",
      "subfield": "ecology"
    }
  ],
  "title": "Remote sensing and the EU nature restoration Regulation: monitoring biodiversity indicators for integrated forest management",
  "title_text": "Remote sensing and the EU nature restoration Regulation: monitoring biodiversity indicators for integrated forest management",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:44:59Z",
  "url": "https://research.draconitic.com/paper/8ahk1dmfd4y6c",
  "venue": "Ecological Indicators",
  "versions": []
}