Morgan Simpson

Orcid: 0000-0003-3004-4517

According to our database1, Morgan Simpson authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Online presence:

On csauthors.net:

Bibliography

2024
Mapping and Monitoring of Water Hyacinth in Lake Victoria Using Polarimetric Radar Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Using Ground Radar Measurements to Measure Plastisphere-Based Surfactant Dampening.
Proceedings of the IGARSS 2024, 2024

2023
Correction: Lanz et al. The InflateSAR Campaign: Developing Refugee Vessel Detection Capabilities with Polarimetric SAR. Remote Sens. 2023, 15, 2008.
Remote. Sens., November, 2023

The InflateSAR Campaign: Developing Refugee Vessel Detection Capabilities with Polarimetric SAR.
Remote. Sens., April, 2023

Investigating the Backscatter of Marine Plastic Litter Using a C- and X-Band Ground Radar, during a Measurement Campaign in Deltares.
Remote. Sens., March, 2023

Backscatter Analysis of Marine Plastic Litter Using A C- and X-Band Ground Radar.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Detecting and Mapping of Water Hyacinth in Lake Victoria Using Radar Polarimetric Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Monitoring of Plastic Islands in River Environment Using Sentinel-1 SAR Data.
Remote. Sens., 2022

Detecting Water Hyacinth Infestation in Kuttanad, India, Using Dual-Pol Sentinel-1 SAR Imagery.
Remote. Sens., 2022

Monitoring of Large Plastic Accumulations Near Dams Using Sentinel-1 Polarimetric Sar Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Monitoring Surfactants Pollution Potentially Related to Plastics in the World Gyres Using Radar Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Monitoring Aquatic Weeds in Indian Wetlands Using Multitemporal Remote Sensing Data with Machine Learning Techniques.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021


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