About Me

I am currently a Postdoctoral Researcher at The University of Alabama, supervised by Dr. Hongxing Liu. I received my bachelor’s and master’s degrees from China University of Geosciences (Wuhan) in 2016 and 2019, and earned my Ph.D. from Wuhan University in 2023 under the supervision of Dr. Liqiao Tian and Dr. Lian Feng.

Water Quality Remote Sensing Atmospheric Correction Deep Learning Multi/Hyperspectral RS Google Earth Engine Eutrophication Monitoring Drinking Water Security

APPS & TOOLS

Google Earth Engine Water Quality Landsat/Sentinel Cloud-based

A cloud-based global water quality remote sensing monitoring platform powered by Google Earth Engine. Enables rapid mapping of water quality parameters using Landsat-8/9 and Sentinel-2 satellite imagery.

Launch App

Deep Learning Physics-informed Water Quality Retrieval

A physics-informed deep learning tool for water quality parameter retrieval from remote sensing data. Combines physical constraints with neural networks for improved accuracy and generalization.

Launch App

RESEARCH

2026

IEEE TGRS 2026

Men J., Li W., Chen X., Feng L., Tian L., Sun X.

Improving ocean color atmospheric correction near clouds with neural network.

IEEE Transactions on Geoscience and Remote Sensing. 1st Author

DOI

J. Hydrol. Reg. Stud. 2026

Yang, C., Chen, J., Wang, G., Ren, S., Peng, Y., Li, Y., Men J., et al.

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.

DOI

2025

ISPRS J. 2025

Hu, Y., Hou X., Men J., Feng L., Wang T.

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.

DOI

IEEE TGRS 2025

Chen, X., Zhang, L., Men, J., Sun, X., Tian, L., Li, W., & Zhao, H.

Developing a combined atmospheric correction algorithm for Sentinel-2 MSI over inland and coastal waters.

IEEE Transactions on Geoscience and Remote Sensing.

DOI

Geo-Spat. Info. Sci. 2025

Yao, T., Zhan, T., Men, J.*, Zhang, L., & Tian, L.*

Enhancing downwelling diffuse attenuation coefficient retrieval at 490 nm through a neural network and water classification system.

Geo-Spatial Information Science. Corresponding

DOI

2024

Remote Sens. 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.

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.

DOI

Remote Sens. 2024

Lv, G., Li, X., Fang, L., Peng, Y., Zhang, C., Yao, J., Ren, S., Chen, J., Men, J., Zhang, Q., Wang, G., & Wang, Q.

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.

DOI

J. Contam. Hydrol. 2024

Wang, W., Chen, J., Fang, L., Yinglan, A., Ren, S., Men, J., & Wang, G.

Remote sensing retrieval and driving analysis of phytoplankton density in a large freshwater storage lake.

Journal of Contaminant Hydrology, 261, 104304.

DOI

2023

ISPRS J. 2023

Men, J., Feng, L., Chen, X., & Tian, L.*

Atmospheric correction under cloud edge effects for Geostationary Ocean Color Imager through deep learning.

ISPRS Journal of Photogrammetry and Remote Sensing, 201, 38–53. 1st Author

DOI

ISPRS J. 2023

Men, J., Chen, X., Hou, X., Tian, J., Song, Q., & Tian, L.*

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. 1st Author

DOI

IEEE TGRS 2023

Men, J., Yao, T., Yang, C., & Tian, L.

A neural network-based atmospheric correction algorithm for GOCI imagery over coastal waters.

IEEE Transactions on Geoscience and Remote Sensing, 62, 1–16. 1st Author

DOI

2022

IEEE TGRS 2022

Men, J., Tian, L., Zhao, D., Wei, J., & Feng, L.

Development of a deep learning-based atmospheric correction algorithm for oligotrophic oceans.

IEEE Transactions on Geoscience and Remote Sensing, 60, 1–19. 1st Author

DOI

Geo-Spat. Info. Sci. 2022

Men, J., Liu, J., Xia, G., Yue, T., Tong, R., & Tian, L.*

Atmospheric correction for HY-1C CZI images using neural network in the western Pacific region.

Geo-Spatial Information Science, 25(3), 476–488. 1st Author

DOI

CONFERENCE PRESENTATIONS

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 Fall Meeting, New Orleans, LA, Dec. 15–19, 2025.
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 Fall Meeting, New Orleans, LA, Dec. 15–19, 2025.
2025 Premsagar, A., Liu, H., Miliutina, E., Men, J., Lu, Y., Palaparthi, A., Mandal, T., 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 Annual Meeting, New Orleans, LA, Dec. 15–19, 2025.
2025 Lu, Y., Liu, H., Chen, S., Miliutina, E., Premsagar, A., Xu, M., Su, H., & Men, J. Monitoring dynamic shifts in dissolved organic matter (DOM) using satellite remote sensing at a large river confluence. AGU Annual Meeting, New Orleans, LA, Dec. 15–19, 2025.
2025 Su, H., Liu, H., Wang, L., Miliutina, E., Men, J., Tian, D., Lu, Y., Shu, S., Beck, R. A., & Premsagar, A. Streamlining satellite-based water quality assessment: The RS-WaterQuality Mapper toolbox for QGIS. AGU Fall Meeting, New Orleans, LA, Dec. 15–19, 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 Fall Meeting, Washington, D.C., Dec. 9–13, 2024.
2024 Wang, L., Liu, H., Tian, D., Men, J., Bhandari, K. P., Pandey, V. P., Shu, S., & Cohen, S. SWOT-enabled sediment load estimation from satellite data. AGU Fall Meeting, Washington, D.C., Dec. 9–13, 2024.
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 Fall Meeting, Washington, D.C., Dec. 9–13, 2024.

INVITED TALKS

2026 Inland and water quality monitoring using remote sensing and physics-informed deep learning. January 23, 2026. The Department of Geography and The Environment, The University of Alabama.

WORKSHOPS & TRAINING

Global-RSWQmonitor: water quality mapping with Google Earth Engine (NASA SERVIR project, Jul 28, 2025)
MicaSense multispectral data processing with Pix4Dmapper (USGS Flow Academy, Jul 2, 2025)
River drone multispectral acquisition with ASV (USGS Flow Academy, Jun 25, 2025)
River bathymetry and flow velocity with drone & HyCAT (USGS Flow Academy, Jun 24, 2025)

HONORS & AWARDS

2023 First Prize, Academic Innovation Award — Wuhan University

2022 Academic Merit Scholarship — Wuhan University

2019 Excellent Graduation Thesis — China University of Geosciences

2018 National Scholarship — China University of Geosciences

2016 Outstanding Postgraduate Student Cadre — China University of Geosciences

PROFESSIONAL SERVICE

Reviewer for

Remote Sensing of Environment ISPRS J. Photogramm. Remote Sens. IEEE Trans. Geosci. Remote Sens. Journal of Remote Sensing Remote Sensing Ecological Informatics IEEE JSTARS IEEE Geosci. Remote Sens. Lett. Optics Express Water Environment Research Sensors

Guest Editor

Remote Sensing in Water Quality Monitoring, Remote Sensing, 2025
The Role of Land Policy in Shaping Rural Development Outcomes, Land, 2025

Jilin Men (门计林)