Min Xu
Orcid: 0000-0003-2066-0498Affiliations:
- University of Alabama, Department of Geography, Tuscaloosa, AL, USA (PhD 2020)
- University of South Florida, College of Marine Science, St. Petersburg, FL, USA
- University of Cincinnati, Cincinnati, OH, USA (former)
According to our database1,
Min Xu
authored at least 9 papers
between 2017 and 2024.
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Bibliography
2024
Spatial Transferability and Temporal Repeatability of Water Quality Remote Sensing Inversion Models for Inland Lakes and Rivers.
Proceedings of the IGARSS 2024, 2024
Low-Cost, High-Density Field Water Quality Data Enable High-Accuracy Minimalist Remote Sensing for Local Sustainability and Resilience with Sentinel-2 Multispectral Imager.
Proceedings of the IGARSS 2024, 2024
2022
Implementation Strategy and Spatiotemporal Extensibility of Multipredictor Ensemble Model for Water Quality Parameter Retrieval With Multispectral Remote Sensing Data.
IEEE Trans. Geosci. Remote. Sens., 2022
2021
Improving Satellite Waveform Altimetry Measurements With a Probabilistic Relaxation Algorithm.
IEEE Trans. Geosci. Remote. Sens., 2021
2020
Mapping Freshwater Chlorophyll-a Concentrations at a Regional Scale Integrating Multi-Sensor Satellite Observations with Google Earth Engine.
Remote. Sens., 2020
Multi-Predictor Ensemble Model for River Turbidity Assessment using Landsat 8 Imagery at a Regional Scale.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Regionally and Locally Adaptive Models for Retrieving Chlorophyll-a Concentration in Inland Waters From Remotely Sensed Multispectral and Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2019
2018
An Ensemble Approach to Retrieving Water Quality Parameters from Multispectral Satellite Imagery.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Comparison of Satellite Reflectance Algorithms for Estimating Phycocyanin Values and Cyanobacterial Total Biovolume in a Temperate Reservoir Using Coincident Hyperspectral Aircraft Imagery and Dense Coincident Surface Observations.
Remote. Sens., 2017