Hannah Ferriby
Hannah Ferriby is an Environmental Data Scientist at Tetra Tech based out of the Lansing, MI area. She received her BSE in Environmental Engineering from the University of Michigan and her MS in Biosystems Engineering from Michigan State University. She specializes in geospatial and remote sensing analysis with a focus on water quality applications. Her work ranges from cyanobacteria harmful algal bloom forecasting to numeric nutrient water quality criteria development to biodiversity metric creation. Hannah is newer to coding in Python but has extensive background in R and JavaScript (Google Earth Engine).
Session
The Ecosystem Services Market Consortium (ESMC) is expanding its agricultural sustainability programs to include biodiversity outcomes across the United States. To support this effort, we developed a Python-based Biodiversity Metric Module that estimates biodiversity gains associated with agricultural best management practices. The module integrates national land cover data, species occurrence records, protected lands datasets, and soil microbial biomass information within a unified geospatial workflow to generate standardized biodiversity unit estimates. This presentation outlines the ecological framework, computational architecture, and lessons learned while scaling biodiversity assessment across thousands of spatially explicit agricultural fields.