Xin Yan

Photo:
Graduate Research Assistant

Contact info

Email:
xin.yan@uga.edu
Office:
GG Building, Room 313
Phone Number:
515-715-7898
Research Interests:

Wetland Remote Sensing; GeoAI; Blue Carbon; Environmental Policy; Climate Change; Geo Sciences; Ecology; Modeling; Interdisciplinary; Natural Research

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Education:
University of Georgia, Department of Geography, 2023 – Present
Ph.D. student and research assistant in Geography
 
Iowa State University, Department of Geological and Atmospheric Sciences, 2021 – 2023
Master of Science in Earth Science
 
University of Chinese Academy of Sciences, Aerospace Information Research Institute, State Key Laboratory of Remote Sensing Science, 2018 – 2021
Master of Engineering in Electronic and Communication Engineering
 
Shandong Agricultural University, School of Information Science and Engineering, 2014 – 2018
Bachelor of Engineering in Surveying and Mapping Engineering
Grants:
David F. Morehouse Fund in Geological Sciences at Iowa State University, 2021, 2022
Selected Publications:

• Maniyar, C. B., Yan, X., Mai, G., Srivastava, D., Samiappan, S., Oliazadeh, A., Kumar, A., Kumar, M., Mishra, D. R. (2025). Artificial intelligence in environmental remote sensing: Progress, way forward and key considerations. Progress in Environmental Geography, 4(3), 363-389. https://doi.org/10.1177/27539687251357020 

• Yan, X., & Niu, Z. (2024). Classification Feature Optimization for Global Wetlands Mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 8058–8072. https://doi.org/10.1109/JSTARS.2024.3382580 

• Yan, X.. (2024). Estimate the Building Height at a 10-meter Resolution Based on Sentinel Data. arXiv. https://arxiv.org/abs/2405.00989

• Mishra, D.R., Yan, X., Ghosh, S., Hladik, C., O’Connell, J. L., & Cho, H. J. (”J”). (2024) Wetland Mapping Methods and Techniques Using Multi-sensor, Multi-Resolution Remote Sensing: Successes and Challenges, in Remote Sensing Handbook, Volume V (2nd ed.). CRC Press.

• Yan, X., Wang, R., & Niu, Z. (2022). Response of China’s Wetland NDVI to Climate Changes. Wetlands, 42(6), 55. https://doi.org/10.1007/s13157-022-01568-0

• Yan, X., & Niu, Z. (2021). Reliability Evaluation and Migration of Wetland Samples. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 8089–8099. https://doi.org/10.1109/JSTARS.2021.3102866

• Wang, R., Yan, X., Niu, Z., and Chen, W. (2021). Long-Term Changes in Inland Water Surface Temperature across China Based on Remote Sensing Data, Journal of Hydrometeorology, 22(2), 523-532.https://doi.org/ 10.1175/JHM-D-20-0104.1

• Yan, X.,  Niu, Z., Li, Y., Han, Q., & Zhang, H. (2020). Reliability Evaluation of Wetland Samples Based on Historical Thematic Maps. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 4754–4757. https://doi.org/10.1109/IGARSS39084.2020.9324288

• Li, Y., Niu, Z., Xu, Z., & Yan, X. (2020). Construction of High Spatial-Temporal Water Body Dataset in China Based on Sentinel-1 Archives and GEE. Remote Sensing, 12(15), Article 15. https://doi.org/10.3390/rs12152413

• Yan, X., Niu, Z.. Preliminary study on wetland connectivity in Baiyangdian basin[J]. Acta Ecologica Sinica, 2019,39 (24): 9200-9210. (In Chinese)

• Yan, X., Niu, Z.. Spatial-temporal Variation Characteristics of Baiyangdian from 1990 to 2017 [J]. Wetland Science, 2019,17 (04): 436-444. (In Chinese)

• Yan, X., Wang, Z., Niu, Z., Kong, Q., Chen, L.. Eco-security Assessment of Wetland Nature Reserves in Jilin Province [J]. Wetland Science and Management, 2019,15 (04): 57-60. (In Chinese)

 

PUBLISHED DATASETS
• Yan, X., Niu, Z. (2023) Global Wetland Samples (Based on Sentinel-1/2, Landsat, MODIS images)[DS/OL]. Science Data Bank. https://doi.org/10.57760/sciencedb.07573
• Yan, X., Niu, Z. (2021) Baiyangdian Wetland Spatial Distribution Dataset. V1. Science data bank. http://www.dx.doi.org/10.11922/sciencedb.00561.
• Yan, X., Niu, Z. (2021). Spatial Distribution Data Set of Wetlands in Baiyangdian Basin [Data set]. Acta Ecologica Sinica. Zenodo. http://doi.org/10.5281/zenodo.4449433.