Sub-pixel Mapping

Sub-Pixel Mapping is a spatial analysis technique in remote sensing that allocates fractional land cover components within a pixel by estimating the proportional contribution of each cover type at a resolution finer than the original pixel size, thereby enabling more accurate land surface monitoring and land cover mapping.

483

Publications

33.8K

Citations

1.6K

Authors

591

Institutions

Publications per year

2017–2026

132

Variants

Sub-pixel Land Cover Mapping

Authors

1.6K

  1. YZ
    Yanfei Zhong

    Wuhan University, China

    21 publications · 959 citations

    17

    h-index

  2. PM
    Peter M. Atkinson

    University of Southampton, United Kingdom

    19 publications · 1.8K citations

    16

    h-index

  3. FL
    Feng Ling

    Chinese Academy of Sciences, China

    17 publications · 659 citations

    15

    h-index

  4. LZ
    Liangpei Zhang

    Wuhan University, China

    19 publications · 694 citations

    15

    h-index

  5. QW
    Qunming Wang

    Tongji University, China

    15 publications · 769 citations

    14

    h-index

1–5 of 1.6K

Venues

  1. Remote Sensing of Environment

    31 publications · 4K citations

    28

    h-index

  2. International Journal of Remote Sensing

    43 publications · 2.9K citations

    28

    h-index

  3. Remote Sensing

    37 publications · 2K citations

    25

    h-index

  4. 15

    h-index

  5. Optics Express

    12 publications · 737 citations

    12

    h-index

1–5