Multispectral Snow Retrieval

Multispectral Snow Retrieval is a remote sensing method that identifies and quantifies snow-covered areas by analyzing reflectance data across multiple spectral bands, distinguishing snow from other surface types based on its unique spectral signature in visible and shortwave infrared wavelengths.

18

Publications

1.4K

Citations

59

Authors

36

Institutions

Publications per year

2017–2026

6

Authors

59

  1. JD
    Jeff Dozier

    University of California, Santa Barbara, United States

    3 publications · 462 citations

    3

    h-index

  2. DA
    Dar A. Roberts

    University of California, Santa Barbara, United States

    2 publications · 346 citations

    2

    h-index

  3. TS
    Timbo Stillinger

    University of California, Santa Barbara, United States

    2 publications · 265 citations

    2

    h-index

  4. DV
    Divyesh Varade

    Indian Institute of Technology Kanpur, India

    2 publications · 41 citations

    2

    h-index

  5. OD
    Onkar Dikshit

    Indian Institute of Technology Kanpur, India

    2 publications · 41 citations

    2

    h-index

1–5 of 59

Venues

  1. Remote Sensing of Environment

    6 publications · 641 citations

    6

    h-index

  2. Remote Sensing

    3 publications · 78 citations

    3

    h-index

  3. Monthly Weather Review

    1 publications · 15 citations

    1

    h-index

  4. IEEE Geoscience and Remote Sensing Letters

    GRSL · 1 publications · 127 citations

    1

    h-index

  5. 1

    h-index

1–5