USGS Staff Profile:
'@context': https://schema.org '@type': Person affiliation: [] description: - '@type': TextObject abstract: Physical Scientist with the Lower Mississippi-Gulf Water Science Center additionalType: short description - '@type': TextObject abstract: Michelle is a Physical Scientist at the Lower Mississippi-Gulf Water Science Center. additionalType: staff profile page introductory statement - '@type': TextObject abstract: "Michelle is a Physical Scientist at the Lower Mississippi-Gulf (LMG)\ \ Water Science Center, stationed at EPA\u2019s Chesapeake Bay Program (CBP)\ \ Office in Annapolis, MD. She joined the CBP in October 2023, and now supports\ \ efforts to monitor and benchmark Chesapeake restoration progress using geospatial\ \ analysis and modelling.Prior to joining the LMG and CBP, Michelle spent 4\ \ years as a Physical Scientist at the MD-DE-DC Water Science Center in Baltimore,\ \ MD. During her time at MD-DE-DC, Michelle provided science and leadership\ \ support to local, regional, and national projects funded by DC DOEE, USGS\ \ Chesapeake Bay PES, USGS Water Mission Area, and USGS Community for Data Integration.Recent\ \ project themes:Urban flood frequency analysisWater Use data acquisition, storage\ \ and managementAnomaly detection for timeseries dataSoftware developmentCloud\ \ computing; Statistical programmingGeospatial programmingSediment budgets.Watershed\ \ modelling" additionalType: personal statement - '@type': TextObject abstract: 'Katoski, M.P., Cashman, M.J., and Lester T., Vogel K., 2023. From reactive- to condition-based maintenance: Artificial intelligence for anomaly predictions and operational decision-making. USGS Timeseries Record Automation Focus Group. June 22, 2023.' additionalType: staff profile page abstract - '@type': TextObject abstract: "Katoski, M.P., Baker, M.E, 2023. Characterizing urban woodlands using\ \ LiDAR derived metrics of vertical structure in Baltimore, MD. International\ \ Association of Landscape Ecology \u2013 North America Annual Meeting. Riverside,\ \ CA; March 22, 2023." additionalType: staff profile page abstract - '@type': TextObject abstract: 'Katoski, M.P., Cashman, M.J., and Lester T., Vogel K., 2022. From reactive- to condition-based maintenance: Artificial intelligence for anomaly predictions and operational decision-making. USGS Community for Data Integration. August 11, 2022.' additionalType: staff profile page abstract email: mkatoski@usgs.gov hasCredential: - '@type': EducationalOccupationalCredential name: 'M.S. Student (2020 - Present) University of Maryland, Baltimore CountyDepartment of Geography and Environmental Systems, Committee Chair: Matthew Baker' - '@type': EducationalOccupationalCredential name: B.S. Environmental Science, GIS Certificate (2014 - 2017)University of Maryland, Baltimore County hasOccupation: - '@type': OrganizationalRole affiliatedOrganization: '@type': Organization name: Lower Mississippi-Gulf Water Science Center url: https://www.usgs.gov/centers/lower-mississippi-gulf-water-science-center roleName: Physical Scientist startDate: '2024-05-10T20:46:05.529890' - '@type': Occupation additionalType: self-claimed professional experience name: "Physical Scientist (September 2023 \u2013 Present) - Lower Mississippi-Gulf\ \ Water Science Center, Chesapeake Bay Program Office, Annapolis, MD" - '@type': Occupation additionalType: self-claimed professional experience name: "Physical Scientist (September 2019 \u2013 October 2023) - MD-DE-DC Water\ \ Science Center Baltimore, MD" - '@type': Occupation additionalType: self-claimed professional experience name: "Student Researcher (December 2017 \u2013 September 2019) - University of\ \ Maryland, Baltimore County Baltimore, MD" - '@type': Occupation additionalType: self-claimed professional experience name: "Seasonal Technician (May 2018 \u2013 November 2018) - Maryland Department\ \ of Natural Resources, Annapolis, MD" identifier: - '@type': PropertyValue propertyID: ORCID value: 0000-0001-5550-0705 - '@type': PropertyValue propertyID: GeoKB value: https://geokb.wikibase.cloud/entity/Q47129 jobTitle: Physical Scientist knowsAbout: - '@type': Thing additionalType: self-claimed expertise name: Landscape structure and function - '@type': Thing additionalType: self-claimed expertise name: Modelling forest structure - '@type': Thing additionalType: self-claimed expertise name: Land use and land change - '@type': Thing additionalType: self-claimed expertise name: Watershed modelling memberOf: '@type': OrganizationalRole member: '@type': Organization name: U.S. Geological Survey name: staff member startDate: '2024-05-10T20:46:05.526536' name: Michelle P Katoski url: https://www.usgs.gov/staff-profiles/michelle-p-katoski