李盈昌，博士，讲师，硕士生导师，主要研究方向为旅游地理。
[1] Yingchang Li, Zhenzhen Liu, Gaifang Liu. Evaluation of Tourism Ecological Security Based on Driving Force-Pressure-State-Influence-Response Framework and Analysis of Its Dynamic Evolution Characteristics and Driving Factors in Chinese Province Territory. Sustainability, 2023, 15, 13680.
[2] Yingchang Li, Mingyang Li, Yuehui Wang. Forest Aboveground Biomass Estimation and Response to Climate Change Based on Remote Sensing Data. Sustainability, 2022, 14, 14222.
[3] Yingchang Li, Mingyang Li, Chao Li, Zhenzhen Liu. Optimized Maxent Model Predictions of Climate Change Impacts on the Suitable Distribution of Cunninghamia lanceolata in China. Forests, 2020, 11, 302.
[4] Yingchang Li, Mingyang Li, Chao Li, Zhenzhen Liu. Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms. Scientific Reports, 2020, 10, 9952.
[5] Yingchang Li, Mingyang Li, Zhenzhen Liu, Chao Li. Combining Kriging Interpolation to Improve the Accuracy of Forest Aboveground Biomass Estimation Using Remote Sensing Data. IEEE Access, 2020, 8, 128124-128139.
[6] Yingchang Li, Chao Li, Mingyang Li, Zhenzhen Liu. Influence of Variable Selection and Forest Type on Forest Aboveground Biomass Estimation Using Machine Learning Algorithms. Forests, 2019, 10, 1073.
[7] Chao Li, Yingchang Li, Mingyang Li. Improving Forest Aboveground Biomass （AGB） Estimation by Incorporating Crown Density and Using Landsat 8 OLI Images of a Subtropical Forest in Western Hunan in Central China. Forests, 2019, 10, 104.
[8] Chao Li, Mingyang Li, Yingchang Li, Pei Qian. Estimating aboveground forest carbon density using Landsat 8 and field-based data: a comparison of modelling approaches. International Journal of Remote Sensing, 2020, 41, 11, 4269-4292.
[9] Chao Li, Mingyang Li, Yingchang Li. Improving estimation of forest aboveground biomass using Landsat 8 imagery by incorporating forest crown density as a dummy variable. Canadian Journal of Forest Research, 2020, 50, 4, 390-398.
[10] Chao Li, Mingyang Li, Jie Liu, Yingchang Li, Qianshi Dai. Comparative Analysis of Seasonal Landsat 8 Images for Forest Aboveground Biomass Estimation in a Subtropical Forest. Forests, 2020, 11, 45.
[11] Chao Li, Mingyang Li, Kotaro Iizuka, Jie Liu, Keyi Chen, Yingchang Li. Effects of Forest Canopy Structure on Forest Aboveground Biomass Estimation Using Landsat Imagery. IEEE Access, 2021, 9:5285-5295.
[12] Liyi Song, Mingyang Li, Hai Xu, Ying Guo, Zi Wang, Yingchang Li, et al. Spatiotemporal variation and driving factors of vegetation net primary productivity in a typical karst area in China from 2000 to 2010. Ecological Indicators, 2021, 132, 108280.
[13] 李明阳，李超，李盈昌. “互联网+”背景下“森林可持续经营认证”研究生课程实施案例教学的探索. 中国林业教育,2022,40（05）:29-32.
[14] 魏金龙，李明阳，赵邑晨，李超，李盈昌. 基于稀疏型机载激光雷达数据的风景林参数估测. 西北林学院学报,2021,36（02）:164-171.
[15] 许振宇，李盈昌，李明阳，李超，汪霖. 基于 Sentinel-1A 和 Landsat 8 数据的区域森林生物量反演. 中南林业科技大学学报,2020,40（11）:147-155.
[1] 乡村全面振兴背景下山西农文旅深度融合发展路径研究，山西省艺术规划课题，2025.01-2025.12，参与。
[2] 基于情景分析多目标决策的南方集体林长期经营规划方法研究，国家自然基金面上项目，2018.09-2021.06，参与。
[1] 李明阳主编，宋立奕、李超、李盈昌副主编：《林业 GIS》，北京：中国林业出版社, 2019年。
[1] 李明阳：江苏省典型高速公路周边土壤重金属污染特征及空间分布制图，参与，2020.07-2020.12。
[2] 李明阳：江苏淮安市淮阴区盱眙县水土流失感与监测，参与，2019.08-2019.12。
