Autors: Evstatiev, B., Valova, I., Kaneva, T., Valov, N., Sevov, A., Stanchev, G., Komitov, G., Zhelyazkova, T., Gerdzhikova, M., Todorova, M., Grozeva, N., Saliev, D. N., Damyanov, I. S.
Title: Identification of Pasture Degradation Using Remote Sensing Data and Machine Learning: A Case Study of Obichnik
Keywords: unmanned aerial vehicle, visual spectrum images, pasture, degradation, random trees, support vector machine, machine learning

References

    Issue

    APPLIED SCIENCES-BASEL, vol. 14, 2024, , https://doi.org/10.3390/app14177599

    Цитирания (Citation/s):
    1. Xing, LW, Jin, DY, Shen, C, Zhu, MS, Wu, JZ, Integrated Remote Sensing Evaluation of Grassland Degradation Using Multi-Criteria GDCI in Ili Prefecture, Xinjiang, China, LAND, vol 14, 2025, eissn: 2073-445X, art_no: ARTN 1592, doi: 10.3390/land14081592 - 2025 - в издания, индексирани в Scopus и/или Web of Science

    Вид: статия в списание, публикация в реферирано издание, индексирана в Scopus и Web of Science