Hasil Pencarian - Minzi Wang

  • Menampilkan 1 - 3 hasil dari 3
Perbaiki Hasil
  1. 1
    Enhancing Urban Above-Ground Vegetation Carbon Density Mapping: An Integrated Approach Incorporating De-Shadowing, Spectral Unmixing, and Machine Learning

    Enhancing Urban Above-Ground Vegetation Carbon Density Mapping: An Integrated Approach Incorporating De-Shadowing, Spectral Unmixing, and Machine Learning oleh Guangping Qie, Jianneng Ye, Guangxing Wang, Minzi Wang

    Diterbitkan 2024-03-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  2. 2
    Multi-scale quantification of anthropogenic, fire, and drought-associated forest disturbances across the continental U.S., 2000–2014

    Multi-scale quantification of anthropogenic, fire, and drought-associated forest disturbances across the continental U.S., 2000–2014 oleh Minzi Wang, Minzi Wang, Chonggang Xu, Daniel J. Johnson, Craig D. Allen, Martha Anderson, Guangxing Wang, Guangping Qie, Kurt C. Solander, Nate G. McDowell

    Diterbitkan 2022-11-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  3. 3
    Machine learning with high-resolution aerial imagery and data fusion to improve and automate the detection of wetlands

    Machine learning with high-resolution aerial imagery and data fusion to improve and automate the detection of wetlands oleh Santiago López-Tapia, Pablo Ruiz, Mitchell Smith, Jeffrey Matthews, Bradley Zercher, Liliana Sydorenko, Neelanshi Varia, Yuanzhe Jin, Minzi Wang, Jennifer B. Dunn, Aggelos K. Katsaggelos

    Diterbitkan 2021-12-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:

Alat Pencarian: