Bin Sun
9 Papers
4 Citations
Bin Sun is an academic researcher. The author has contributed to research in topics: Environmental science & Medicine. The author has an hindex of 2, co-authored 2 publications.
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Papers
Grassland degradation and restoration monitoring and driving forces analysis based on long time-series remote sensing data in Xilin Gol League
TL;DR: Time-series annual net primary production datasets covering Xilin Gol League, Inner Mongolia, China during 2001 to 2012 were established based on an improved Carnegie-Ames-Stanford Approach (CASA) model and the proposed methods of grassland degradation and restoration monitoring and driving force analysis were suitable for long time-series vegetation indicators datasets at the regional scale.
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Degraded land detection by soil particle composition derived from multispectral remote sensing data in the Otindag Sandy Lands of China
TL;DR: Wang et al. as discussed by the authors proposed a method by using the measured hyperspectral and BJ-1 multispectral image to estimate the silt content in soil quantitatively, and to develop a soil-based model which could be used in detecting desertification or land degradation.
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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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Ecological restoration effects of the Beijing–Tianjin Sandstorm Source Control Project in China since 2000
TL;DR: In this article , the authors present a vegetation-water-soil-environment system comprising the net ecosystem productivity (NEP), water conservation (WC), soil erosion (SE), and habitat quality (HQ) to evaluate the spatiotemporal changes and future trends.
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