Item talk:Q47129

ORCiD:

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             title:
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                 for an agricultural basin, Chesapeake Bay Watershed, United States
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USGS Staff Profile:

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 '@type': Person
 affiliation: []
 description:
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   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
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   startDate: '2024-05-10T20:46:05.529890'
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   name: "Physical Scientist (September 2023 \u2013 Present) - Lower Mississippi-Gulf\
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 - '@type': Occupation
   additionalType: self-claimed professional experience
   name: "Physical Scientist (September 2019 \u2013 October 2023) - MD-DE-DC Water\
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 - '@type': Occupation
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   name: "Seasonal Technician (May 2018 \u2013 November 2018) - Maryland Department\
     \ of Natural Resources, Annapolis, MD"
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 knowsAbout:
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   name: Landscape structure and function
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Modelling forest structure
 - '@type': Thing
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   name: Land use and land change
 - '@type': Thing
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   name: Watershed modelling
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   name: staff member
   startDate: '2024-05-10T20:46:05.526536'
 name: Michelle P Katoski
 url: https://www.usgs.gov/staff-profiles/michelle-p-katoski