Multi-source Inventory Estimation

Multi-Source Inventory Estimation is an inventory estimation method that integrates data from multiple disparate sources, such as remote sensing, field measurements, and administrative records, to enhance the accuracy and spatial coverage of forest attribute predictions.

7

Publications

465

Citations

19

Authors

4

Institutions

Publications per year

2017–2026

0

Authors

19

  1. ET
    Erkki Tomppo

    Finnish Environment Institute, Finland

    3 publications · 282 citations

    3

    h-index

  2. MK
    Matti Katila

    Finnish Environment Institute, Finland

    2 publications · 245 citations

    2

    h-index

  3. SE
    Sarah Ehlers

    Swedish University of Agricultural Sciences, Sweden

    1 publications · 32 citations

    1

    h-index

  4. AP
    Anssi Pekkarinen

    Food and Agriculture Organization of the United Nations, Italy

    1 publications · 63 citations

    1

    h-index

  5. KM
    Kai Mäkisara

    VTT Technical Research Centre of Finland, Finland

    1 publications · 63 citations

    1

    h-index

1–5 of 19

Venues

  1. Remote Sensing of Environment

    3 publications · 314 citations

    3

    h-index

  2. Forest Ecology and Management

    1 publications · 25 citations

    1

    h-index

  3. Canadian Journal of Forest Research

    1 publications · 32 citations

    1

    h-index

  4. Jukuri (Luonnonvarakeskus Tietopalvelu)

    Repository · 1 publications · 63 citations

    1

    h-index

  5. Silva Fennica

    1 publications · 31 citations

    1

    h-index

1–5