Algorithm Development For Remote Sensing

Algorithm Development for Remote Sensing is a systematic methodological advancement in the processing, interpretation, or analysis of remotely sensed data that distinguishes itself through the design and validation of computational procedures tailored to extract geophysical information from sensor observations in polar environments.

72

Publications

3.9K

Citations

326

Authors

121

Institutions

Publications per year

2017–2026

22

Authors

326

  1. AD
    Adrian Doicu

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    2 publications · 68 citations

    2

    h-index

  2. IO
    Igor Ogashawara

    Instituto Nacional de Pesquisas Espaciais, Brazil

    2 publications · 48 citations

    2

    h-index

  3. MM
    Mcebisi Mkhwanazi

    Colorado State University, United States

    2 publications · 54 citations

    2

    h-index

  4. KK
    K. K. Mohanty

    Indian Space Research Organisation, India

    2 publications · 43 citations

    2

    h-index

  5. AA
    Allan A. Andales

    Colorado State University, United States

    2 publications · 54 citations

    2

    h-index

1–5 of 326

Venues

  1. Remote Sensing

    6 publications · 126 citations

    6

    h-index

  2. Remote Sensing of Environment

    4 publications · 229 citations

    4

    h-index

  3. Computers & Geosciences

    CAGEO · 2 publications · 78 citations

    2

    h-index

  4. International Journal of Remote Sensing

    2 publications · 82 citations

    2

    h-index

  5. Acta Optica Sinica

    2 publications · 27 citations

    2

    h-index

1–5