Deforestation Reconstruction

Deforestation Reconstruction is a methodological framework within land-use reconstruction that specifically enables the spatiotemporal modeling and inference of historical forest loss by integrating remote sensing data, historical records, and ecological indicators to distinguish anthropogenic and natural deforestation drivers over time.

100

Publications

8.4K

Citations

400

Authors

246

Institutions

Publications per year

2017–2026

40

Authors

400

  1. JO
    Jed O. Kaplan

    École Polytechnique Fédérale de Lausanne, Switzerland

    6 publications · 642 citations

    6

    h-index

  2. SL
    Shicheng Li

    China University of Geosciences, China

    4 publications · 109 citations

    4

    h-index

  3. PM
    Patrick Meyfroidt

    UCLouvain, Belgium

    4 publications · 490 citations

    4

    h-index

  4. FH
    Fanneng He

    Institute of Geographic Sciences and Natural Resources Research, China

    4 publications · 109 citations

    4

    h-index

  5. TK
    Tobias Kuemmerle

    Humboldt-Universität zu Berlin, Germany

    4 publications · 288 citations

    4

    h-index

1–5 of 400

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 4 publications · 336 citations

    4

    h-index

  2. Remote Sensing of Environment

    4 publications · 1.4K citations

    4

    h-index

  3. Remote Sensing

    4 publications · 208 citations

    4

    h-index

  4. Forest Ecology and Management

    4 publications · 104 citations

    4

    h-index

  5. Landscape Ecology

    4 publications · 210 citations

    4

    h-index

1–5