Yifu Li
9 Papers
4 Citations
Yifu Li is an academic researcher. The author has contributed to research in topics: Environmental science & Computer science. The author has an hindex of 2, co-authored 5 publications.
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Papers
An Integrated Method for Estimating Forest-Canopy Closure Based on UAV LiDAR Data
TL;DR: In this paper , a method for estimating forest canopy closure (FCC) accurately using algorithm integration with an optimal window size for treetop detection and an optimal algorithm for crown-boundary extraction using UAV LiDAR data in various scenes was proposed.
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Global degradation trends of grassland and their driving factors since 2000
TL;DR: In this article , the authors quantitatively explored global grassland degradation trends from 2000 to 2020 by coupling vegetation growth and its response to climate change, and analyzed the driving factors behind these trends, especially in hotspots.
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Mechanical Property of Biomodified Geogrid and Reinforced Calcareous Sand
TL;DR: In this article , a series of unconsolidated undrained triaxial experiments were conducted to evaluate the mechanical property and deformation behaviors of biomodified geogrid and reinforced calcareous sand (BGRCS), taking into consideration the impacts of the geoglrid layer, times of biotreatment, and confining pressure.
Extraction of rocky desertification information in karst area by using different multispectral sensor data and multiple endmember spectral mixture analysis method
TL;DR: In this paper , a comparison between three optical sensors, namely, the Sentinel-2A Multispectral Instrument (Sentinel-2), Landsat-8 Operational Land Imager (Landsat8), and GF-6 Wide Field View (GF-6) sensors for retrieving fractional vegetation cover (fVC) and bare rock fraction (fBR) are presented.
Sample plot design can affect the efficiency and accuracy of shrub coverage measurements in shrub-encroached grasslands
TL;DR: This study investigates the impact of sample plot design on shrub coverage measurements in grasslands, revealing significant systematic errors in circular plots and providing optimal parameters for square plots to achieve high accuracy and efficiency.
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