Water Data Model Decisions Home

UAS for data collection

UAS equipped with hyperpectral sensor used to survey a Pecan Orchard in El Paso, TX.

Data collection campaign and equipments

Image classification

Finding shade percentage for accurate ET estimation using UAS imagery collected by flying under the tree canopy.

Finding pools

Estimating the free surface water in uncovered swimming pools for accurate urban ET estimation. This app uses Google Earth Engine resources.

Water data visualization

Screenshots from https://mwcog.owml.vt.edu/. Demonstrating OccViz platform for water system data curation and visualization.

State of practice for TMDL

Using NLP to assess the state-of-practice of TMDL development using over 70,000 report documents.

What is WaterDMD?

DMD in WaterDMD is for Data Model and Decisions. This research group is interested in developing:

methods to acquire data from engineered and natural systems
data-driven and mechanistic models to understand and simulate complicated systems
interfaces to present information for actionable decision making

Saurav has moved from TA&M to Arizona State University. With this move WaterDMD now lives in both Tempe (Phoenix), AZ and EL Paso. In El Paso we are based at Texas A&M AgriLife Research. Our focus has been on water in the urban and agricultural sectors. The group collects data from unmanned aircraft-based systems [see SITS, Thermal, and HS projects], on-ground sensor networks [see water balance], open and commercial satellite data [see BMP] to develops and drive models [see SMITUV, Rio Grande Models]. We also develop user interfaces that make decision-making smarter [see TRS tool, OCCVIZ, grower tools].