Pixel-based Disturbance Detection

Pixel-Based Disturbance Detection is a remote sensing image analysis method that identifies temporal changes in forest cover by examining spectral reflectance variations at the individual pixel level over time, distinguishing itself from object- or scene-based approaches through its reliance on pixel-wise computational operations for detecting disturbances.

20

Publications

1.9K

Citations

85

Authors

39

Institutions

Publications per year

2017–2026

12

Authors

85

  1. LZ
    Lihong Zhu

    China University of Geosciences (Beijing), China

    2 publications · 29 citations

    2

    h-index

  2. XL
    Xiangnan Liu

    China University of Geosciences (Beijing), China

    2 publications · 29 citations

    2

    h-index

  3. NC
    Nicholas C. Coops

    University of British Columbia, Canada

    2 publications · 264 citations

    2

    h-index

  4. MA
    Michael A. Wulder

    Canadian Forest Service, Canada

    2 publications · 264 citations

    2

    h-index

  5. FM
    François Messner

    Le Mans Université, France

    1 publications · 17 citations

    1

    h-index

1–5 of 85

Venues

  1. 5

    h-index

  2. Remote Sensing

    4 publications · 315 citations

    4

    h-index

  3. Remote Sensing of Environment

    3 publications · 660 citations

    3

    h-index

  4. Ecological Informatics

    1 publications · 17 citations

    1

    h-index

  5. Ecological Indicators

    1 publications · 12 citations

    1

    h-index

1–5