近 五 年 论 文 著 作 专 利 发 明 成 果 | 第一/通讯作者SCI论文成果列表如下（**代表通讯作者，#表示共一） 1. Yu, H., Li, S.,Liang, Z.,Xu,S.,Yang,X., Li, X.(2024).Multi-Source Remote Sensing Data for Wetland Information Extraction: A Case Study of the Nanweng River National Wetland Reserve. Sensors, 2024, 24(20): 6664.(SCI 三区收录，影响因子3.400） 2. Yu, H., Wang, Z., Mao, D., Jia, M., Chang, S., & Li, X. (2023). Spatiotemporal variations of soil salinization in China’s West Songnen Plain. Land Degradation & Development,34(8), 2366–2378. (SCI 二区收录，影响因子3.423） 3. Yu, H., LeiWang, Wang, Z., Ren, C., Zhang, B. (2019). Using Landsat OLI and Random Forest to Assess Grassland Degradation with Aboveground Net Primary Production and Electrical Conductivity Data. ISPRS-International Journal of Geo-Information, 8, 1-19.（SCI三区收录，影响因子3.80） 2. Yu, H., Liu, M., Du, B., Wang, Z., Hu, L., Zhang, B.(2018). Mapping Soil Salinity/Sodicity by using Landsat OLI Imagery and PLSR Algorithm over Semiarid West Jilin Province, China. Sensors , 18, (4), 1048.（SCI三区收录，影响因子5.00） 3. Yu, H., Wang, Z., Zhang, B. (2018).Comparative Study on Changes of Croplands Between North Korea and South Korea During 1990-2015. Chinese Geographical Science, 28, (6), 920-934.（SCI三区收录，影响因子2.80） 5. Dong, Y., Ren, Z., Wang, Z., Yu, Q., Zhu, L., Yu, H.**, Bao, G.** (2020). Spatiotemporal Patterns of Forest Changes in Korean Peninsula Using Landsat Images During 1990–2015: A Comparative Study of Two Neighboring Countries. IEEE Access, 8, 73627.（SCI二区收录，影响因子3.90） 专著 1.王宗明，张柏，于皓.《东北亚资源与环境》,吉林大学出版社，2019 |
