Jilin Men

Postdoctoral Scholar

Center for Global Change and Earth Observations (CGCEO)

Michigan State University

Member of MSU Roy Lab

menjilin@msu.edu

ResearchGate | Google Scholar

Office: 1405 S. Harrison Rd (Room 101), East Lansing, MI 48824

Research Interests

Remote sensing

Deep learning

Atmospheric correction

Education

2020 - 2023 Ph.D. Photogrammetry and Remote Sensing. Wuhan University, Wuhan, China

2016 - 2019 M.S. Land Resource Administration. China University of Geosciences, Wuhan, China

2012 - 2016 B.S. Land Resource Administration. China University of Geosciences, Wuhan, China

Publications

2026

Haibin Su, Hongxing Liu, Lei Wang, Ekaterina Miliutina, Jilin Men, Dan Tian, Yuehan Lu, Song Shu, Richard Beck, and Amanjit Premsagar. RS-WaterQuality Mapper: An Open-Source Water Quality Remote Sensing Toolbox in QGIS. Earth Science Informatics. Earth Sci Inform 19, 43 (2026). https://doi.org/10.1007/s12145-026-02090-1.
Men J. *, Li W., Chen X., Feng L., Tian L. Improving Ocean color atmospheric correction near clouds with neural network. IEEE Transactions on Geoscience and Remote Sensing, vol. 64, pp. 1-15, 2026, Art no. 4203315. https://doi.org/10.1109/TGRS.2026.3660269.
Yang, C., Chen, J., Wang, G., Ren, S., Peng, Y., Li, Y., Men J., et al. (2026). Remote sensing-enabled machine learning for modeling turbidity in regulating lakes and reservoirs across inter-basin under Google Earth Engine. Journal of Hydrology: Regional Studies, 64, 103150. https://doi.org/10.1016/j.ejrh.2026.103150.

2025

Hu, Y., Hou, X. *, Men, J., Feng, L., & Wang, T. (2025). Global evaluation revealed large spectral reflectance uncertainties in Landsat 8 Collection 2 surface reflectance products for inland and coastal waters. ISPRS Journal of Photogrammetry and Remote Sensing, 230, 962-982. https://doi.org/10.1016/j.isprsjprs.2025.10.016.
Chen, X., Zhang, L., Men, J., Sun, X., Tian, L. *, Li, W., & Zhao, H. (2025). Developing a combined atmospheric correction algorithm for Sentinel-2 MSI over inland and coastal waters. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2025.3583314.
Yao, T., Zhan, T., Men, J.*, Zhang, L., & Tian, L.* (2025). Enhancing downwelling diffuse attenuation coefficient retrieval at 490 nm through a Neural network and water classification system. Geo-Spatial Information Science. https://doi.org/10.1080/10095020.2025.2514177.

2024

Xie, G., Bai, X., Peng, Y., Li, Y., Zhang, C., Liu, Y., Liang, J., Fang, L., Chen, J., Men, J., Wang, X., Wang, G., Wang, Q., & Ren, S. (2024). Aquaculture ponds identification based on multi-feature combination strategy and machine learning from Landsat-5/8 in a typical inland lake of China. Remote Sensing, 16(12), 2168. https://doi.org/10.3390/rs16122168.
Lv, G., Li, X., Fang, L. *, Peng, Y., Zhang, C., Yao, J., Ren, S., Chen, J., Men, J., Zhang, Q., Wang, G., & Wang, Q. (2024). Disentangling the influential factors driving NPP decrease in Shandong Province: An analysis from time series evaluation using MODIS and CASA model. Remote Sensing, 16(11), 1966. https://doi.org/10.3390/rs16111966.
Wang, W., Chen, J. *, Fang, L., Yinglan, A., Ren, S., Men, J., & Wang, G. (2024). Remote sensing retrieval and driving analysis of phytoplankton density in the large storage freshwater lake: A study based on random forest and Landsat-8 OLI. Journal of Contaminant Hydrology, 261, 104304. https://doi.org/10.1016/j.jconhyd.2024.104304.

2023

Men, J., Feng, L., Chen, X., & Tian, L.* (2023). Atmospheric correction under cloud edge effects for Geostationary Ocean Color Imager through deep learning. ISPRS Journal of Photogrammetry and Remote Sensing, 201, 38–53. https://doi.org/10.1016/j.isprsjprs.2023.05.023.
Men, J., Chen, X., Hou, X., Tian, J., Song, Q., & Tian, L.* (2023). OC_3S: An optical classification and spectral scoring system for global waters using UV-visible remote sensing reflectance. ISPRS Journal of Photogrammetry and Remote Sensing, 200, 153–172. https://doi.org/10.1016/j.isprsjprs.2023.05.017.
Men, J., Yao, T., Yang, C., Tian, L. (2023). A neural network-based atmospheric correction algorithm for GOCI imagery over coastal waters. IEEE Transactions on Geoscience and Remote Sensing, 62, 1–16. https://doi.org/10.1109/TGRS.2023.3339619.

2022

Men, J., Tian, L., Zhao, D., Wei, J., & Feng, L.* (2022). Development of a deep learning-based atmospheric correction algorithm for oligotrophic oceans. IEEE Transactions on Geoscience and Remote Sensing, 60, 1–19. https://doi.org/10.1109/TGRS.2022.3215767.
Men, J., Liu, J., Xia, G., Yue, T., Tong, R., & Tian, L.* (2022). Atmospheric correction for HY-1C CZI images using neural network in western Pacific region. Geo-spatial Information Science, 25(3), 476–488. https://doi.org/10.1080/10095020.2021.2009314.

Conference presentations

2026

Men J. Global Water Quality Mapping Using Satellites. California Stormwater Quality Association. June 8, 2026. Online.
Palaparthi, A., Kumar, N., Men, J., Liu, H., & Lu, Y. Near real-time monitoring and assessment of environmental and aquatic conditions for Alabama coastal fisheries and aquaculture by integrating multi-sensor satellite observations, cloud-based computing, and machine-learning models. Gulf Conference, May 6, 2026. Mobile, AL, USA.
Men J., Liu H., Lu Y., Miliutina E. A Physics-Informed Differentiable Learning model for Water Quality Parameter Retrieval. AAG. San Francisco, USA. Mar. 20, 2026.

2025

Men J., Liu H., Miliutina E., Wang L., Lu Y., Tian D., Pu Y. Cloud-Based Water Quality Mapping with Landsat-8/9 and Sentinel-2 on Google Earth Engine. AGU. New Orleans, USA. Dec. 15-19, 2025.
Miliutina E., Liu H., Men J., Shu S., Beck R. Spatiotemporal dynamics of water quality and trophic state of the African Great Lakes using Sentinel-3 OLCI observations. AGU. New Orleans, USA. Dec. 15-19, 2025.
A Premsagar, Liu H., Miliutina E., Men J., Lu Y., A Palaparthi, T Mandal, Tian D., Pu Y. Evaluating the generalizability and transferability of water quality remote sensing models calibrated with drone-based hyperspectral imagery and dense in situ measurements from an autonomous surface vehicle. AGU. New Orleans, USA. Dec. 15-19, 2025.
Lu Y., Liu H., S Chen, Miliutina E., A Premsagar, M Xu, H Su, Men J. Monitoring dynamic shifts in dissolved organic matter (DOM) using satellite remote sensing at a large river confluence. AGU. New Orleans, USA. Dec. 15-19, 2025.
H Su, Liu H., Wang L., Miliutina E., Men J., Tian D., Lu Y., Shu S., Beck R. Streamlining satellite-based water quality assessment: The RS-WaterQuality Mapper toolbox for QGIS. AGU. New Orleans, USA. Dec. 15-19, 2025.
Men J., Hongxing Liu, Yuehan Lu. Quickly Mapping Water Quality Parameters with Google Earth Engine. CIROH Developers Conference. Burlington, Vermont. May 27-30, 2025.

2024

Men J., Liu H., Miliutina E., Wang L., Lu Y., Su H. Evaluation of atmospherically corrected aquatic reflectance products from multispectral satellite data using global in-situ datasets and ocean color satellite observations. AGU. Washington DC, USA. Dec. 9-13, 2024.
Wang L., Liu H., Tian D., Men J., Bhandari KP., Pandey VP., Shu S., Cohen S. SWOT-enabled Sediment Load Estimation from Satellite Data. AGU. Washington DC, USA. Dec. 9-13, 2024.
Miliutina E., Liu H., Lu Y., Men J., Su H., Wang L., Shu S., Xu M. Spatially Transferable and Temporally Repeatable Remote Sensing Models for River and Lake Water Quality Monitoring. AGU. Washington DC, USA. Dec. 9-13, 2024.

2023

Men J., Tian L., Feng L. Deep learning atmospheric correction for ocean color remote sensing. The 21st China Conference on Aquatic Color Remote Sensing. Wuhan, China. Apr. 4-6, 2023.

2022

Men J., Tian L. Atmospheric correction using deep learning for oceanic waters. Graduate Forum on Ocean Technology. Zhanjiang, China. Dec. 14-15, 2022.

Previous appointments

2024-2026 Postdoctoral fellow, The University of Alabama

Web tools

PIDL: Physics-Informed Deep learning for water quality retrieval.

Key words: Deep learning, water quality, physical constrains, Sentinel-2

Link: https://watersensing-pidl-for-water-quality.hf.space

Global-RSWQmonitor: Global water quality mapping using Google Earth Engine

Key words: Water quality, inland waters, google earth engine, Landsat-8/9, Sentinel-2

Link: https://watersensing-water-quality-monitoring-pro.hf.space/voila/render/Global-RSWQmonitor.ipynb?

OC_3S: Global Water Optical Classification & Scoring System

Key words: Water types, optical classification, spectral scores

Link: https://watersensing-oc-3s.hf.space/

Reviewer service

Journal

Remote Sensing of Environment
ISPRS Journal of Photogrammetry and Remote Sensing
IEEE Transaction on Geoscience and Remote Sensing
Journal of Applied Earth Observation and Geoinformation
Journal of Remote Sensing
Remote Sensing
Ecological Informatics
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Optics Express
Regional Studies in Marine Science
Water Environment Research
Sensors
Water

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