地理所在蒙古高原区域遥感研究中取得系列进展

1. Wang, J*, Wei, H., Cheng, K., Ochir, A., Shao, Y., Yao, J., et al (2022) Updatable dataset revealing decade changes in land cover types in Mongolia. Geoscience Data Journal, 00, 1–14.  https://doi.org/10.1002/gdj3.149  

2. Kai Li, Juanle Wang*, et al. Deep Learning Empowers the Google Earth Engine for Automated Water Extraction in the Lake Baikal Basin. J. International Journal of Applied Earth Observation and Geoinformation, 2022, 112: 102928.  https://doi.org/10.1016/j.jag.2022.102928  

3. Kai Li, Juanle Wang*, Jinyi Yao. Effectiveness of machine learning methods for water segmentation with ROI as the label: A case study of the Tuul River in Mongolia. J. International Journal of Applied Earth Observation and Geoinformation, 2021, 103(7): 102497.  https://doi.org/10.1016/j.jag.2021.102497  

4. Li, Q.; Wang, J. *; Xie, H.; Ochir, A.; Davaasuren, D. Applicability of Grassland Production Estimation Using Remote Sensing for the Mongolian Plateau by Comparing Typical Regions in China and Mongolia. Sustainability 2022, 14, 3122. https:// doi.org/10.3390/su14053122 

5. Zhang, Y.; Wang, J. *;Wang, Y.; Ochir, A.; Togtokh, C. Land Cover Change Analysis to Assess Sustainability of Development in the Mongolian Plateau over 30 Years. Sustainability 2022, 14, 6129.  https://doi.org/10.3390/su14106129  

6. 王卷乐*, 魏海硕. 蒙古国1990-2020年土地覆盖变化监测，科技部国家遥感中心《地球观测优质应用案例100例》，2022，案例序号：4-5.