Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Feida Sun

Biographic Data

ID8303403
NAMEFeida Sun
GIVEN NAMESFeida
FAMILY NAMESun
SIGNATURESUN F
AFFILIATIONSCollege of Grassland Science Sichuan Agricultural University Chengdu China
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Biochar as a Nature‐Based Solution for Sustainable and Drought‐Resilient Grassland Restoration

    Open Access•Tahmina Kausar, Feida Sun et al.•ARTICLE•Land Degradation and Development•2026

    Climate‐induced drought is accelerating the degradation of alpine grasslands, which cover 50%–60% of the Qinghai–Tibetan Plateau and provide critical ecosystem services including biodiversity conservation, carbon storage, and forage production. Degradation and recurrent drought events can reduce aboveground biomass by up to 73%, severely impairing soil function and ecosystem stability. This review highlights biochar as a nature‐based solution (Nb…

  • Machine Learning Models Based on UAV Oblique Images Improved Above‐Ground Biomass Estimation Accuracy Across Diverse Grasslands on the Qinghai–Tibetan Plateau

    Open Access•Feida Sun, Dewei Chen et al.•ARTICLE•Land Degradation and Development•2025

    Unmanned aerial vehicles (UAVs) are becoming important tools for modern management and scientific research of grassland resources, especially in the dynamic monitoring of above‐ground biomass (AGB). However, current studies rely mostly on vertical images to construct models, with little consideration given to oblique images. Determination of image acquisition height often relies on experience and intuition, but there is limited comparison of mode…

No prominent works on this page.

  • Machine Learning Models Based on UAV Oblique Images Improved Above‐Ground Biomass Estimation Accuracy Across Diverse Grasslands on the Qinghai–Tibetan Plateau

    Open Access•Feida Sun, Dewei Chen et al.•ARTICLE•Land Degradation and Development•2025

    Unmanned aerial vehicles (UAVs) are becoming important tools for modern management and scientific research of grassland resources, especially in the dynamic monitoring of above‐ground biomass (AGB). However, current studies rely mostly on vertical images to construct models, with little consideration given to oblique images. Determination of image acquisition height often relies on experience and intuition, but there is limited comparison of mode…

  • Biochar as a Nature‐Based Solution for Sustainable and Drought‐Resilient Grassland Restoration

    Open Access•Tahmina Kausar, Feida Sun et al.•ARTICLE•Land Degradation and Development•2026

    Climate‐induced drought is accelerating the degradation of alpine grasslands, which cover 50%–60% of the Qinghai–Tibetan Plateau and provide critical ecosystem services including biodiversity conservation, carbon storage, and forage production. Degradation and recurrent drought events can reduce aboveground biomass by up to 73%, severely impairing soil function and ecosystem stability. This review highlights biochar as a nature‐based solution (Nb…

Agroforestry and silvopastoral systems (1 works) · Agronomy (1 works) · Artificial Intelligence (1 works) · Biochar (1 works) · Biocrusts and Microbial Ecology (1 works) · Biology (1 works) · Carbon sequestration (1 works) · Computer Science (1 works) · Ecosystem (1 works) · Engineering (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae