A5082007710- Soil erosion and sediment transport
- Hydrology and Watershed Management Studies
- Hydrology and Sediment Transport Processes
- Remote-Sensing Image Classification
- Water Quality Monitoring Technologies
- Fish Ecology and Management Studies
- Automated Road and Building Extraction
- Remote Sensing and LiDAR Applications
- Underwater Vehicles and Communication Systems
University of Massachusetts Amherst
2023-2024
Suspended sediment concentration, flux, and river discharge are essential indicators of ecosystem health reflect watershed-scale processes. Monitoring these variables is labor-intensive, leading to sparse geographically biased observations the development models fill in observational gaps. These generally use either climatological data or satellite images estimate one variables. In this work, we present a novel deep learning model that can leverage multiple sources with different temporal...
Abstract Open-source designs for turbidity and depth sensors are becoming increasingly capable available, but the knowledge required to construct them limits their use compared expensive, commercial sensors. Here, we present an open-source optical backscatter water pressure sensor that can be ordered almost fully assembled, requires no coding deploy, costs approximately $50 USD. We share three examples of these sensors’ ability facilitate new research. First, observed complex changes in...