Remote Sensing For Detection

Remote Sensing for Detection is a methodological approach within invasive plant management that employs sensor technologies mounted on aerial or satellite platforms to systematically identify and map the spatial distribution of invasive plant species through the analysis of spectral, spatial, and temporal vegetation characteristics.

228

Publications

11.7K

Citations

921

Authors

380

Institutions

Publications per year

2017–2026

93

Authors

921

  1. OM
    Onisimo Mutanga

    University of KwaZulu-Natal, South Africa

    11 publications · 609 citations

    11

    h-index

  2. KP
    Kabir Peerbhay

    University of KwaZulu-Natal, South Africa

    4 publications · 115 citations

    4

    h-index

  3. JO
    John Odindi

    University of KwaZulu-Natal, South Africa

    4 publications · 285 citations

    4

    h-index

  4. TD
    Timothy Dube

    University of the Western Cape, South Africa

    4 publications · 255 citations

    4

    h-index

  5. CH
    Chuanmin Hu

    University of South Florida St. Petersburg, United States

    4 publications · 338 citations

    4

    h-index

1–5 of 921

Venues

  1. Remote Sensing

    20 publications · 1K citations

    18

    h-index

  2. Remote Sensing of Environment

    11 publications · 973 citations

    11

    h-index

  3. 10

    h-index

  4. 10

    h-index

  5. Computers and Electronics in Agriculture

    9 publications · 426 citations

    9

    h-index

1–5