Stahl, A.

Amanda Stahl

Deploying satellite-imagery based machine-learning models for large-scale mapping of tillage practices

State-wide mapping of soil-health indicators and related agricultural practices is key to tracking our progress towards improving sustainability of agriculture. While this information and low-cost platforms to gather this information for large areas are currently lacking, there have been some recent successes such as satelliteimagery based tillage class mapping for the United States Corn Belt. […]

Development of multi-scale remote sensing methodologies to classify and monitor riparian vegetation structure and composition to improve agricultural sustainability

Sustainable agriculture in Washington State (WA) pushes to be economically viable while being environmentally responsible through improvements made to both on- and off-farm practices. Riparian (streamside) conservation measures are a primary off-farm field strategy to protect and enhance ecosystem functions and values, such as improving water quality and creating wildlife habitat. Two significant state administered […]