Item talk:Q166025: Difference between revisions
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ORCID: | |||
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name: A Multimodal Data Fusion and Deep Learning Framework for Large-Scale Wildfire | |||
Surface Fuel Mapping | |||
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procedures and data products | |||
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name: 'LANDFIRE Remap Prototype Mapping Effort: Developing a New Framework for | |||
Mapping Vegetation Classification, Change, and Structure' | |||
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Fire Detections | |||
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Effects in Regression Tree Models Based on Remotely-Sensed Data | |||
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southeastern US | |||
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in the Piriqueta caroliniana complex | |||
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USGS Staff Profile: | USGS Staff Profile: | ||
'@context': https://schema.org | '@context': https://schema.org |
Revision as of 17:37, 23 May 2024
ORCID:
'@context': http://schema.org '@id': https://orcid.org/0000-0002-4021-4623 '@reverse': creator: - '@id': https://doi.org/10.3390/fire6020036 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3390/fire6020036 name: A Multimodal Data Fusion and Deep Learning Framework for Large-Scale Wildfire Surface Fuel Mapping - '@id': https://doi.org/10.3390/fire4030052 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3390/fire4030052 name: "Mapping Wetland Burned Area from Sentinel-2 across the Southeastern United\ \ States and Its Contributions Relative to Landsat-8 (2016\u20132019)" - '@id': https://doi.org/10.1186/s42408-020-00076-y '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.1186/s42408-020-00076-y name: Changes to the Monitoring Trends in Burn Severity program mapping production procedures and data products - '@id': https://doi.org/10.3390/rs12020238 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3390/rs12020238 name: Potential Underestimation of Satellite Fire Radiative Power Retrievals over Gas Flares and Wildland Fires - '@id': https://doi.org/10.3390/fire2020035 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3390/fire2020035 name: 'LANDFIRE Remap Prototype Mapping Effort: Developing a New Framework for Mapping Vegetation Classification, Change, and Structure' - '@id': https://doi.org/10.3390/fire2020029 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3390/fire2020029 name: Prototype Downscaling Algorithm for MODIS Satellite 1 km Daytime Active Fire Detections - '@id': https://doi.org/10.1016/j.rse.2017.06.027 '@type': CreativeWork identifier: - '@type': PropertyValue propertyID: eid value: 2-s2.0-85021738719 - '@type': PropertyValue propertyID: doi value: 10.1016/j.rse.2017.06.027 name: Mapping burned areas using dense time-series of Landsat data - '@id': https://doi.org/10.3390/rs8110943 '@type': CreativeWork identifier: - '@type': PropertyValue propertyID: doi value: 10.3390/rs8110943 - '@type': PropertyValue propertyID: eid value: 2-s2.0-85019714568 name: An Optimal Sample Data Usage Strategy to Minimize Overfitting and Underfitting Effects in Regression Tree Models Based on Remotely-Sensed Data - '@id': https://doi.org/10.1071/wf15039 '@type': CreativeWork identifier: - '@type': PropertyValue propertyID: eid value: 2-s2.0-84963954451 - '@type': PropertyValue propertyID: doi value: 10.1071/wf15039 name: 1984-2010 trends in fire burn severity and area for the conterminous US - '@id': https://doi.org/10.5194/isprsarchives-xl-1-161-2014 '@type': CreativeWork identifier: - '@type': PropertyValue propertyID: doi value: 10.5194/isprsarchives-xl-1-161-2014 - '@type': PropertyValue propertyID: eid value: 2-s2.0-84924250601 name: Utilizing multi-sensor fire detections to map fires in the United States - '@id': https://doi.org/10.3390/rs3081680 '@type': CreativeWork identifier: - '@type': PropertyValue propertyID: doi value: 10.3390/rs3081680 - '@type': PropertyValue propertyID: eid value: 2-s2.0-80052608084 name: Timing constraints on remote sensing of wildland fire burned area in the southeastern US - '@id': https://doi.org/10.1071/wf10013 '@type': CreativeWork identifier: - '@type': PropertyValue propertyID: doi value: 10.1071/wf10013 - '@type': PropertyValue propertyID: eid value: 2-s2.0-79955972846 name: Validation of remote sensing of burn severity in south-eastern US ecosystems - '@id': https://doi.org/10.1007/s11258-008-9451-9 '@type': CreativeWork identifier: - '@type': PropertyValue propertyID: doi value: 10.1007/s11258-008-9451-9 - '@type': PropertyValue propertyID: eid value: 2-s2.0-58149190164 name: Leaf morphological responses to variation in water availability for plants in the Piriqueta caroliniana complex - '@id': https://doi.org/10.1007/s00442-007-0794-z '@type': CreativeWork identifier: - '@type': PropertyValue propertyID: doi value: 10.1007/s00442-007-0794-z - '@type': PropertyValue propertyID: eid value: 2-s2.0-34548591201 name: 'Plastic responses to temporal variation in moisture availability: Consequences for water use efficiency and plant performance' '@type': Person familyName: Picotte givenName: Joshua identifier: - '@type': PropertyValue propertyID: Scopus Author ID value: '21735454800' - '@type': PropertyValue propertyID: Scopus Author ID value: '57188863892' mainEntityOfPage: https://orcid.org/0000-0002-4021-4623
USGS Staff Profile:
'@context': https://schema.org '@type': Person affiliation: [] description: - '@type': TextObject abstract: Biologist with the Earth Resources Observation and Science (EROS) Center additionalType: short description - '@type': TextObject abstract: Joshua Picotte is a Biologist focusing on fire science at the Earth Resources Observation and Science Center in Sioux Falls, SD. additionalType: staff profile page introductory statement - '@type': TextObject abstract: Joshua Picotte has worked at USGS EROS for 11 years, with his first 10 years as a contractor. Throughout his career at USGS he has worked on fire science projects, including the Monitoring Trends in Burn Severity (MTBS) and LANDFIRE projects. additionalType: personal statement email: jpicotte@usgs.gov hasCredential: - '@type': EducationalOccupationalCredential name: BS Environmental Science and Botany/Plant Pathology; Lyman Briggs College/Michigan State University; East Lansing, MI - '@type': EducationalOccupationalCredential name: MS Biology; Portland State University; Portland, OR - '@type': EducationalOccupationalCredential name: PhD ; University of Idaho; Natural Resources; Moscow, ID hasOccupation: - '@type': OrganizationalRole affiliatedOrganization: '@type': Organization name: Earth Resources Observation and Science (EROS) Center url: https://www.usgs.gov/centers/eros roleName: Biologist startDate: '2024-05-12T14:25:16.229110' - '@type': Occupation additionalType: self-claimed professional experience name: '2022-present: Biologist; USGS' - '@type': Occupation additionalType: self-claimed professional experience name: '2011-2022: Fire Specialist; Contractor to the USGS' identifier: - '@type': PropertyValue propertyID: GeoKB value: https://geokb.wikibase.cloud/entity/Q166025 - '@type': PropertyValue propertyID: ORCID value: 0000-0002-4021-4623 jobTitle: Biologist knowsAbout: - '@type': Thing additionalType: self-claimed expertise name: Fire Ecology - '@type': Thing additionalType: self-claimed expertise name: Remote Sensing - '@type': Thing additionalType: self-claimed expertise name: GIS - '@type': Thing additionalType: self-claimed expertise name: Field Work - '@type': Thing additionalType: self-claimed expertise name: Machine Learning - '@type': Thing additionalType: self-claimed expertise name: Python memberOf: '@type': OrganizationalRole member: '@type': Organization name: U.S. Geological Survey name: staff member startDate: '2024-05-12T14:25:16.226372' name: Joshua Picotte, PhD url: https://www.usgs.gov/staff-profiles/joshua-picotte