Forest Loss Detection

Forest Loss Detection is a remote sensing-based analytical method that identifies temporally discrete reductions in forest canopy cover by distinguishing persistent spectral changes associated with deforestation from other forms of land cover variation.

305

Publications

32.8K

Citations

1.3K

Authors

588

Institutions

Publications per year

2017–2026

173

Authors

1.3K

  1. PP
    Peter Potapov

    University of Maryland, College Park, United States

    19 publications · 15.9K citations

    17

    h-index

  2. MC
    Matthew C. Hansen

    University of Maryland, College Park, United States

    18 publications · 15.9K citations

    16

    h-index

  3. SV
    Stephen V. Stehman

    SUNY College of Environmental Science and Forestry, United States

    10 publications · 13.6K citations

    10

    h-index

  4. ST
    Svetlana Turubanova

    University of Maryland, College Park, United States

    7 publications · 13.8K citations

    7

    h-index

  5. AT
    Alexandra Tyukavina

    University of Maryland, College Park, United States

    6 publications · 12.4K citations

    6

    h-index

1–5 of 1.3K

Venues

  1. Remote Sensing

    33 publications · 1.1K citations

    21

    h-index

  2. Remote Sensing of Environment

    19 publications · 2.6K citations

    19

    h-index

  3. Environmental Research Letters

    ERL · 20 publications · 1.8K citations

    17

    h-index

  4. International Journal of Remote Sensing

    13 publications · 619 citations

    13

    h-index

  5. Conservation Biology

    10 publications · 1.5K citations

    10

    h-index

1–5