Deadwood Mapping

Deadwood Mapping is a remote sensing methodology that identifies and spatially characterizes deadwood within forest ecosystems by differentiating decaying woody materials from live vegetation and other land cover types using spectral, structural, or multi-temporal data.

27

Publications

1.4K

Citations

93

Authors

40

Institutions

Publications per year

2017–2026

12

Authors

93

  1. MH
    Marco Heurich

    Bavarian Forest National Park, Germany

    4 publications · 351 citations

    4

    h-index

  2. MH
    Markus Holopainen

    University of Helsinki, Finland

    2 publications · 61 citations

    2

    h-index

  3. MV
    Mikko Vastaranta

    University of Helsinki, Finland

    2 publications · 61 citations

    2

    h-index

  4. TY
    Tuomas Yrttimaa

    University of Eastern Finland, Finland

    2 publications · 61 citations

    2

    h-index

  5. TT
    Topi Tanhuanpää

    University of Helsinki, Finland

    2 publications · 61 citations

    2

    h-index

1–5 of 93

Venues

  1. Forest Ecology and Management

    3 publications · 117 citations

    3

    h-index

  2. Remote Sensing

    3 publications · 319 citations

    3

    h-index

  3. Remote Sensing of Environment

    2 publications · 214 citations

    2

    h-index

  4. Photogrammetric Engineering & Remote Sensing

    2 publications · 68 citations

    2

    h-index

  5. European Journal of Forest Research

    1 publications · 71 citations

    1

    h-index

1–5