Welcome!
I am a Postdoctoral Researcher at The University of Alabama, working with Dr. Hongxing Liu. My research develops remote sensing and machine learning methods for aquatic environments, with an emphasis on atmospheric correction, water quality retrieval, and scalable monitoring with satellite and cloud-computing systems.
News
- Our paper βRS-WaterQuality Mapper: an open-source water quality remote sensing toolbox in QGISβ has been published on Earth Science Informatics.
- Invited talk: Inland and water quality monitoring using remote sensing and physics-informed deep learning at The University of Alabama.
- New paper on ocean color atmospheric correction published in IEEE Transactions on Geoscience and Remote Sensing.
- Presented cloud-based water quality mapping work at AGU Fall Meeting in New Orleans.
- Led a workshop on water quality mapping with Google Earth Engine for the NASA SERVIR project.
- Guest Editor for a Remote Sensing special issue on water quality monitoring.
Publications
Google Scholar2026
RS-WaterQuality Mapper: an open-source water quality remote sensing toolbox in QGIS.
Earth Science Informatics
DOIImproving ocean color atmospheric correction near clouds with neural network.
IEEE Transactions on Geoscience and Remote Sensing
DOIRemote 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
DOI2025
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
DOIDeveloping a combined atmospheric correction algorithm for Sentinel-2 MSI over inland and coastal waters.
IEEE Transactions on Geoscience and Remote Sensing
DOIEnhancing downwelling diffuse attenuation coefficient retrieval at 490 nm through a neural network and water classification system.
Geo-Spatial Information Science Β· Corresponding
DOI2024
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
DOIDisentangling 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
DOIRemote sensing retrieval and driving analysis of phytoplankton density in a large freshwater storage lake.
Journal of Contaminant Hydrology, 261, 104304
DOI2023
Atmospheric correction under cloud edge effects for Geostationary Ocean Color Imager through deep learning.
ISPRS Journal of Photogrammetry and Remote Sensing, 201, 38-53 Β· 1st Author
DOIOC_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 Β· 1st Author
DOIA neural network-based atmospheric correction algorithm for GOCI imagery over coastal waters.
IEEE Transactions on Geoscience and Remote Sensing, 62, 1-16 Β· 1st Author
DOI2022
Development of a deep learning-based atmospheric correction algorithm for oligotrophic oceans.
IEEE Transactions on Geoscience and Remote Sensing, 60, 1-19 Β· 1st Author
DOIAtmospheric correction for HY-1C CZI images using neural network in the western Pacific region.
Geo-Spatial Information Science, 25(3), 476-488 Β· 1st Author
DOIApps & Tools
- Global-RSWQmonitor A cloud-based global water quality remote sensing platform powered by Google Earth Engine for rapid mapping with Landsat and Sentinel imagery. Launch app
- PIDL for Water Quality A physics-informed deep learning tool for water quality parameter retrieval from remote sensing data. Launch app
- OC_3S: Global Water Optical Classification & Scoring System Water types, optical classification, and spectral scores for global water optical analysis. Launch app
Conference Presentations
- 2026 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 Cloud-Based Water Quality Mapping with Landsat-8/9 and Sentinel-2 on Google Earth Engine, AGU Fall Meeting, New Orleans.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Workshops & Training
- 2025-07-28 Global-RSWQmonitor: water quality mapping with Google Earth Engine, NASA SERVIR project.
- 2025-07-02 MicaSense multispectral data processing with Pix4Dmapper, USGS Flow Academy.
- 2025-06-25 River drone multispectral acquisition with autonomous surface vehicle, USGS Flow Academy.
- 2025-06-24 River bathymetry and flow velocity with drone and HyCAT, USGS Flow Academy.
Awards & Honors
First Prize, Academic Innovation Award, Wuhan University.
Academic Merit Scholarship, Wuhan University.
Excellent Graduation Thesis, China University of Geosciences.
National Scholarship, China University of Geosciences.
Outstanding Postgraduate Student Cadre, China University of Geosciences.
Academic Service
Journal Reviewer
- Remote Sensing of Environment
- ISPRS Journal of Photogrammetry and Remote Sensing
- IEEE Transactions on Geoscience and Remote Sensing
- Journal of Remote Sensing
- Remote Sensing
- Ecological Informatics
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS)
- IEEE Geoscience and Remote Sensing Letters
- Optics Express
- Water Environment Research
- Sensors
Guest Editor for Special Issues
- 2025 Remote Sensing in Water Quality Monitoring, Remote Sensing.
- 2025 The Role of Land Policy in Shaping Rural Development Outcomes, Land.
