
手機(jī): +86 13699997454
ORCID iD: https://orcid.org/0000-0001-8742-230X
2009年9月至2013年6月, 新疆大學(xué) 數(shù)學(xué)與系統(tǒng)科學(xué)學(xué)院 數(shù)學(xué)與應(yīng)用數(shù)學(xué)
2013年9月至2016年6月, 碩士, 新疆大學(xué) 數(shù)學(xué)與系統(tǒng)科學(xué)學(xué)院 概率論與數(shù)理統(tǒng)計(jì)
導(dǎo)師:胡錫建 副教授
畢業(yè)論文題目: 基于Bayesian的空間多層線性回歸模型的參數(shù)估計(jì)及其應(yīng)用
2016年9月至2021年6月, 博士, 新疆大學(xué) 資源與環(huán)境科學(xué)學(xué)院 生態(tài)學(xué)
導(dǎo)師:呂光輝 教授
畢業(yè)論文題目: 荒漠杜加依林碳交換及其對(duì)環(huán)境變化的響應(yīng)
· 基于渦度協(xié)方差技術(shù)的通量數(shù)據(jù)分析和建模
· 生態(tài)系統(tǒng)碳交換和能量交換
· 時(shí)間序列分析和空間統(tǒng)計(jì)學(xué)
· 機(jī)器學(xué)習(xí)
2. Teng, Dexiong; He, Xuemin; Qin, Lu; Lv, Guanghui*. 2021. Energy Balance Closure in the Tugai Forest in Ebinur Lake Basin, Northwest China. Forests 12, 243. DOI 10.3390/f12020243 (IF = 2.221/Q2)
3. Wang, Jingzhe; Ding, Jianli; Yu, Danlin*; Ma, Xuankai; Zhang, Zipeng; Ge, Xiangyu; Teng, Dexiong; Li, Xiaohang; Liang, Jing; Lizaga, Ivan; Chen, Xiangyue; Yuan, Lin and Guo, Yahui. 2019. Capability of Sentinel-2 MSI data for monitoring and mapping of soil salinity in dry and wet seasons in the Ebinur Lake region, Xinjiang, China. Geoderma. 353. 172-187. DOI: 10.1016/j.geoderma.2019.06.040(IF= 6.114/Q1)
主要貢獻(xiàn):隨機(jī)森林模型的訓(xùn)練和驗(yàn)證
4. Wang Jingzhe, Ding Jianli, Yu Danlin, Teng Dexiong, He Bin, Chen Xiangyue, Ge Xiangyu, Zhang Zipeng, Wang Yi, Yang Xiaodong, Shi Tiezhu, and Su Fenzhen. Machine learning-based detection of soil salinity in an arid desert region, Northwest China: A comparison between Landsat-8 OLI and Sentinel-2 MSI. Science of The Total Environment 2020. 707. DOI: 10.1016/j.scitotenv.2019.136092(IF=7.963/Q1)
主要貢獻(xiàn):Cubist模型的建立和驗(yàn)證
5. Yang, XiaoDong; Qie YaDong; Teng, DeXiong; Alid, Arshad; Xue, Yilu; Nanthi, Bolanc; Liu, WeiGuo; Lv, GuangHui*; Ma, LiGang; Yang, ShengTian; Zibibula, Simayi. 2019. Prediction of groundwater depth in an arid region based on maximum tree height. Journal of Hydrology, 574: 46-52. DOI 10.1016/j.jhydrol.2019.04.022(IF= 5.722/Q1)
主要貢獻(xiàn):測(cè)量模型的建立和驗(yàn)證并撰寫(xiě)了研究方法和結(jié)果
6. Wang, Jingzhe; Shi, Tiezhu; Yu, Danlin; Teng, Dexiong; Ge, Xiangyu; Zhang, Zipeng; Yang, Xiaodong; Wang, Hanxi; and Wu, Guofeng. 2020. Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: A case study in an arid oasis, NW China. Environmental Pollution 266. DOI: 10.1016/j.envpol.2020.115412(IF= 8.071/Q1)
主要貢獻(xiàn):集成模型的建立和驗(yàn)證
7. Chen, Wenqian; Ran Haofan; Cao, Xiaoyi; Jingzhe, Wang; Teng, Dexiong; Chen, Jing; Zheng Xuan. 2020. Estimating PM2.5 with high-resolution 1-km AOD data and an improved machine learning model over Shenzhen, China. Science of The Total Environment. 746. DOI: 10.1016/j.scitotenv.2020.141093(IF=7.963/Q1)
主要貢獻(xiàn):建立地理加權(quán)回歸模型
8. Chen, Wenqian; Wang, Jingzhe; Cao, Xiaoyi; Ran, Haofan; Teng, Dexiong; Chen, Jing; He, Xiao; and Zheng, Xuan. 2021. Possibility of using multiscale normalized difference vegetation index data for the assessment of total suspended solids (TSS) concentrations in surface water: A specific case of scale issues in remote sensing. Environmental Research 194. DOI: 10.1016/j.envres.2020.110636(IF= 6.498/Q1)
主要貢獻(xiàn):測(cè)量模型的建立和驗(yàn)證
9. Wang, Jinlong; Teng, Dexiong; He, Xuemin; Qin, Lu; Yang, Xiaodong; Lv, Guanghui*. 2021. Spatial non-stationarity effects of driving factors on soil respiration in an arid desert region. Catena. 207. DOI: 10.1016/j.catena.2021.105617(IF= 5.198/Q1)
主要貢獻(xiàn):提出問(wèn)題、擬定題目、建立地理加權(quán)回歸模型并修改了論文