Darby Levin Email & Phone Number

Baltimore, Maryland, United States

- Develop a Global Restoration Progress Index- Validate remote sensing and geospatial datasets for forest restoration monitoring - Provide GIS research support to the Global Restoration Initiative and Global Restoration Observatory

Baltimore, Maryland, United States

• Modeling the Impacts of Post-fire Restoration Methods on Vegetation Recovery in the Gila National Forest
• Built a decision-support tool to predict the likelihood of vegetation regrowth after fire for a given restoration treatment in the Gila National Forest using remote sensing and machine learning
• Used Google Earth Engine (GEE), R, and ArcGIS to obtain, analyze, and visualize data
• Created a GEE Apps GUI for our decision-support tool, and an ESRI Story Map to interact with results
• Liaised with partners at the USFS Region 3 to set goals, meet stakeholder needs, and communicate results

Baltimore, Maryland, United States

• Fisher's Peak Ecological Forecasting: Mapping Biomass to Inform Conservation Planning of a Future State Park in Southern Colorado
• Modeled and quantified biomass and carbon storage in Fisher's Peak State Park, Colorado using LiDAR, SAR, and optical remote sensing data, as well as in-situ forest inventory data
• Used Google Earth Engine, R, and ArcGIS to develop a random forest regression model of biomass in the park
• Prepared input and validation datasets, wrote useful metadata, and performed data version control
• Provided data and products to aid The Nature Conservancy and the Colorado State Forest Service in planning the development and conservation of the park
• Collaborated remotely with a small team to successfully execute a fast-paced, 10-week project

Philadelphia, Pennsylvania

-Facilitate group activities and discussions in a Structured Active In-Class Learning (SAIL) environment-Teach material and answer questions during in-class sessions-Grade assignments, proctor exams, and hold office hours

Philadelphia, Pennsylvania

-Investigate controls on post-fire vegetation recovery in the Santa Monica mountains and their impacts on the landscape’s resiliency to climate change-Write scripts using Google Earth Engine (GEE) to quantify burn severity and vegetation recovery-Statistically test relationship of spatial and temporal variables to post-fire vegetation recovery-Effectively.

Philadelphia, Pennsylvania

-Streamlined and implemented workflow I created over the summer to filter and bulk-download Planet imagery-Ordered and downloaded data on demand for scientists; taught scientists how to best access Planet data-Collaborated with a team of Planet representatives, scientists at Goddard, and the NASA Center for Climate Simulation (NCCS) to create streamlined.

Greenbelt, Maryland

Intern with the Arctic Boreal Vulnerability Experiment (ABoVE) project working with high resolution satellite imagery studying wildfires in the Arctic. -Designed and documented a workflow to filter the large Planet imagery database (360M+ km2), bulk-download data, and transfer it to the ADAPT science cloud for permanent storage -Created a system for.

Philadelphia, Pennsylvania

I conducted independent research for my senior thesis using remote sensing (primarily using Google Earth Engine) to study changes in vegetation recovery after wildfire in the Santa Monica Mountains, Southern California.

Towson, Maryland

Assistant in the ecotoxicology lab working a project studying the effects of PFAS on aquatic ecosystems using a bioenergetics approach. Analyzed visual data with ImageJ, catalogued large datasets using Excel, maintained experimental colonies of Daphnia magna and prepared specimens for analysis.

Master Of Science - Ms, Applied Geosciences - Global Climate Systems

Bachelor'S Of Arts, Environmental Studies