Concepedia

Forest Gain Detection

Forest Gain Detection is a remote sensing analytical method that identifies and quantifies the establishment of new forested areas over time by distinguishing areas of vegetation increase from stable or degraded land cover within a temporal series of satellite imagery.

14

Publications

345

Citations

78

Authors

42

Institutions

Publications per year

2017–2026

12

Parents

Publications

14

Improved Mapping of Long-Term Forest Disturbance and Recovery Dynamics in the Subtropical China Using All Available Landsat Time-Series Imagery on Google Earth Engine Platform

Jianwen Hua, Guangsheng Chen, Lin Yu et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2021 · 43 citations · Full text

, , +17

Population pressure and global markets drive a decade of forest cover change in Africa's Albertine Rift

Sadie J. Ryan, Michael Palace, Joel Hartter et al. · Applied Geography · 2017 · 39 citations · Full text

, , +16

Forest Changes by Precipitation Zones in Northern China after the Three-North Shelterbelt Forest Program in China

Han Li, Fu Xu, Zhichao Li et al. · Remote Sensing · 2021 · 36 citations · Full text

, , +17

An Algorithm of Forest Age Estimation Based on the Forest Disturbance and Recovery Detection

Zihao Huang, Xuejian Li, Huaqiang Du et al. · IEEE Transactions on Geoscience and Remote Sensing · 2023 · 30 citations

, , +17

Comparison of spatial modelling frameworks for the identification of future afforestation in New Zealand

Thales A. P. West, Juan J. Monge, Les Dowling et al. · Landscape and Urban Planning · 2020 · 28 citations · Full text

, , +13

1–5 of 14

Authors

78

  1. MS
    Margaret Skutsch

    Universidad Nacional Autónoma de México, Mexico

    2 publications · 34 citations

    2

    h-index

  2. JH
    Jianwen Hua

    Ministry of Agriculture and Rural Affairs, China

    2 publications · 64 citations

    2

    h-index

  3. GC
    Guangsheng Chen

    Auburn University, United States

    2 publications · 64 citations

    2

    h-index

  4. AQ
    Alexander Quevedo

    Universidad Nacional Autónoma de México, Mexico

    2 publications · 34 citations

    2

    h-index

  5. YG
    Yan Gao

    Universidad Nacional Autónoma de México, Mexico

    2 publications · 34 citations

    2

    h-index

1–5 of 78

Institutions

42

  1. Zhejiang A & F University

    Lin’an Shi, China

    3 h-index

    16 publications

    488 citations

  2. Ministry of Agriculture and Rural Affairs

    Beijing, China

    2 h-index

    2 publications

    64 citations

  3. Universidad Nacional Autónoma de México

    Mexico City, Mexico

    2 h-index

    9 publications

    144 citations

  4. University of Technology Malaysia

    Johor Bahru, Malaysia

    1 h-index

    1 publications

    25 citations

  5. Chinese Academy of Tropical Agricultural Sciences

    Haikou, China

    1 h-index

    1 publications

    36 citations

  6. China Agricultural University

    Beijing, China

    1 h-index

    2 publications

    50 citations

  7. Stellenbosch University

    Stellenbosch, South Africa

    1 h-index

    1 publications

    20 citations

  8. Oregon State University

    Corvallis, United States

    1 h-index

    2 publications

    50 citations

1–8 of 42

Venues

  1. Remote Sensing

    3 publications · 69 citations

    3

    h-index

  2. 2

    h-index

  3. Environmental Research Letters

    ERL · 1 publications · 10 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Forestry

    1 publications · 17 citations

    1

    h-index

1–5