Remote Sensing Identification

Remote Sensing Identification is a methodological framework within plant science that employs spectral and spatial data acquired through satellite or aerial sensors to detect and classify forage plants or parasitic weeds, distinguishing it from field-based or laboratory identification techniques by enabling non-invasive, large-scale, and rapid species discrimination across heterogeneous landscapes.

99

Publications

4K

Citations

462

Authors

181

Institutions

Publications per year

2017–2026

50

Authors

462

  1. YW
    Yuanzhong Wang

    Yunnan Academy of Agricultural Sciences, China

    3 publications · 138 citations

    3

    h-index

  2. AK
    Anil Kumar

    Indian Institute of Remote Sensing, India

    2 publications · 24 citations

    2

    h-index

  3. FC
    Franck Chebila

    Centre National de la Recherche Scientifique, France

    2 publications · 38 citations

    2

    h-index

  4. DH
    David Hill

    Thompson Rivers University, Canada

    2 publications · 60 citations

    2

    h-index

  5. WW
    Weisheng Wang

    Chinese Academy of Sciences, China

    2 publications · 35 citations

    2

    h-index

1–5 of 462

Venues

  1. Remote Sensing

    10 publications · 282 citations

    10

    h-index

  2. Remote Sensing of Environment

    6 publications · 1.4K citations

    6

    h-index

  3. International Journal of Remote Sensing

    5 publications · 132 citations

    5

    h-index

  4. 4

    h-index

  5. Ecological Informatics

    3 publications · 84 citations

    3

    h-index

1–5