Research

Software

• 05/13/2021 - SWIM Classification Framework v1.0

  Reproducible analysis and framework scripts for “A submonthly surface water classification framework via gap-fill imputation and random forest classifiers of Landsat imagery”

• 12/–/2017 - People in Ecosystems / Watershed Integration

  Co-lead javascript programmer / developer for PEWI v3.0

Blog Posts

• 06/01/2021 - FEWS (Food, Energy, Water Systems) Course Syllabus
• 05/31/2021 - Data Management
• 09/09/2020 - A Devilish Flood
• 09/08/2020 - Disappearing Act: The Aral Sea
• 09/07/2020 - Visualizing Urbanization in Ames

Publications

• 05/13/2021 - Remote Sensing

  Labuzzetta, C., et al. 2021. A Submonthly Surface Water Classification Framework via Gap-Fill Imputation and Random Forest Classifiers of Landsat Imagery. Remote Sensing 13(9), 1742.

• 08/29/2016 - Oxford Bioinformatics

  Labuzzetta, C., et al. 2016. Complementary feature selection from alternative splicing events and gene expression for phenotype prediction. Bioinformatics 32(17):i421-i429.

Awards

• Vince Sposito Computing Excellence Award (Outstanding service in Statistical Computing). Fall 2021.

Thesis + Dissertation

• Fall 2019 - Master’s Thesis

  Labuzzetta, C. 2020. Spatiotemporal refinement of water classification via random forest classifiers and gap-fill imputation in LANDSAT imagery. Iowa State University.