Name:Wang Shuxian

Academic Qualificationgs：Postgraduate student of the class of 2019

Undergraduate schools and majors:Southwest Forestry University / Information Management and Information Systems

Major:Cartography and Geographic Information Systems

Academy:Faculty of Forestry

Personal information：

Hometown：yunnanyuxi

Date of Birth：1994.10

Enrollment Period：2019.09-2022.06

E-mail：769497014@.qq.com

Research Direction（Thesis Title）：

Aboveground Biomass Dynamics of High Mountain Pine in Shangri-La City Based on Landsat: Spatiotemporal Change Characteristics Analysis and Simulation

Scholarly accomplishments：

[1] 王书贤,张加龙,廖易.基于Landsat时间序列数据的森林地上生物量估测研究进展[J].世界林业研究,2021,34(06):20-26.DOI:10.13348/j.cnki.sjlyyj.2021.0046.y.

[2] 韩东阳,张加龙,杨健,王书贤等.考虑地形效应的高山松地上生物量遥感估测模型构建[J].中南林业科技大学学报,2022,42(04):12-21+67.DOI:10.14067/j.cnki.1673-923x.2022.04.002.

[3] 廖易,张加龙,鲍瑞,许东凡,王书贤等.引入地形因子的高山松地上生物量动态估测[J].生态学杂志,2023,42(05):1243-1252.DOI:10.13292/j.1000-4890.202305.021.

[4] 刘灵,张加龙,韩雪莲,许东凡,王书贤等.基于GEE和Sentinel时序影像的优势树种识别研究[J].森林工程,2023,39(01):63-72+81.

[5] 王书贤,张加龙,鲍瑞,等.香格里拉高山松地上生物量及遥感因子的时空变化特征研究[J].西北林学院学报,2023,38(05):43-48.

Han, D.; Zhang, J.*; Xu, D.;Liao, Y.; Bao, R.; Wang, S.; Chen, S.Improving Pinus densata Carbon StockEstimations through Remote Sensingin Shangri-La: A Nonlinear Mixed-EffectsModel Integrating Soil Thickness and Topographic Variables. Forests 2024,15,394.https://doi.org/10.3390/f15020394

Career Development after Graduation：

Currently employed at the Yunnan Remote Sensing Center.