Skip to main content
AkademIndex

Products

For developers

AkademBaseOpen API for the ecosystem
← Back to work

Works cited by this work

75 works

Work: Desertification Monitoring Using Machine Learning Techniques with Multiple Indicators Derived from Sentinel-2 in Turkmenistan

  1. Estimate earth fissure hazard based on machine learning in the Qa’ Jahran Basin, Yemen

    Yousef A. Al-Masnay, Nabil M. Al‐Areeq, Kashif Ullah +5

    Article20222 citations
    ABI

  2. Applied Statistical Learning

    Matthias Schonlau

    Book20232 citations
    ABI

  3. Climate change and geo-environmental factors influencing desertification: a critical review

    Paramita Roy, Subodh Chandra Pal, Rabin Chakrabortty +5

    Review article20242 citations
    ABI

  4. Aeolian Desertification Dynamics from 1995 to 2020 in Northern China: Classification Using a Random Forest Machine Learning Algorithm Based on Google Earth Engine

    Cai‐Xia Zhang, Ningjing Tan, Jinchang Li

    Article20242 citations
    ABI

  5. Untitled

    Other1 citations
    ABI

  6. Untitled

    Other1 citations
    ABI

  7. Untitled

    Other1 citations
    ABI

  8. Untitled

    Other1 citations
    ABI

  9. Untitled

    Other1 citations
    ABI

  10. Untitled

    Other1 citations
    ABI

  11. Untitled

    Other1 citations
    ABI

  12. Untitled

    Other1 citations
    ABI

  13. Untitled

    Other1 citations
    ABI

  14. Untitled

    Other1 citations
    ABI

  15. Untitled

    Other1 citations
    ABI

  16. Untitled

    Other1 citations
    ABI

  17. Untitled

    Other1 citations
    ABI

  18. Untitled

    Other1 citations
    ABI

  19. Untitled

    Other1 citations
    ABI

  20. Untitled

    Other1 citations
    ABI

  21. Untitled

    Other1 citations
    ABI

  22. Untitled

    Other1 citations
    ABI

  23. Untitled

    Other1 citations
    ABI

  24. Untitled

    Other1 citations
    ABI

  25. Untitled

    Other1 citations
    ABI