Jeanne M Jones
Jeanne Jones is a Geographer and software developer with the USGS Western Geographic Science Center in Moffett Field, CA.
She designs and develops software tools for research, often involving spatial analysis with big datasets over large geographic areas.
Professional Experience
2010 - Current: Geographer, Western Geographic Science Center (WGSC)
Education and Certifications
M.A. in Geography/GIS from San Jose State University
Graduate coursework in computer science and applied mathematics from Santa Clara University
B.S. in Electrical Engineering from Boston University
Science and Products
Filter Total Items: 23
Community Exposure to Future Coastal Hazards in U.S. South Carolina, reference year 2020 Community Exposure to Future Coastal Hazards in U.S. South Carolina, reference year 2020
The data set contains information on potential population, economic, land cover, and infrastructure flooding exposure for coastal communities of the state of South Carolina, USA. The type of information includes U.S. Census data on the number and types of residents, InfoGroup data on numbers and types of employees, county parcel values, NLCD land cover estimates, and infrastructure data...
Community Exposure to Future Coastal Hazards in U.S. North Carolina, reference year 2020 Community Exposure to Future Coastal Hazards in U.S. North Carolina, reference year 2020
The data set contains information on potential population, economic, land cover, and infrastructure exposure to coastal hazards for coastal communities of the state of North Carolina, USA. The type of information includes U.S. Census data on the number and types of residents, InfoGroup data on numbers and types of employees, county parcel values, NLCD land cover estimates, and...
Community Exposure to Future Coastal Hazards for U.S. Washington, reference year 2020 Community Exposure to Future Coastal Hazards for U.S. Washington, reference year 2020
The data set contains information on potential population, economic, land cover, and infrastructure flooding exposure for coastal communities of the state of Washington, USA. The type of information includes U.S. Census data on the number and types of residents, Data-Axle data on numbers and types of employees, county parcel values, NLCD land cover estimates, and infrastructure data on...
Exposure of FY2020 Federal Real Property Profile Data to 100-year and 500-year Flood Hazard Zones for the years 2022 and 2052 Exposure of FY2020 Federal Real Property Profile Data to 100-year and 500-year Flood Hazard Zones for the years 2022 and 2052
The dataset contains hazard-exposure estimates of FY2020 Federal Real Property Profile (FRPP) data to 100-year and 500-year flood-hazard zones for the years 2022 and 2052. Flow depths for each of the four hazard zones were estimated for every FRPP record using geospatial analysis. Results include raw values for estimated flow depths in centimeters and bin values on a -1 to 5 scale. Flood...
Threat prioritization framework and input data for a multi-hazard risk analysis for the U.S. Department of the Interior Threat prioritization framework and input data for a multi-hazard risk analysis for the U.S. Department of the Interior
An integral part of disaster risk management is identifying and prioritizing hazards and their potential impacts in a meaningful way to support risk-reduction planning. There has been considerable use and subsequent criticism of threat prioritization efforts that simply compare likelihoods and consequences of plausible threats. This data supports an article that summarizes a new mixed...
Closed depression density in karst regions of the conterminous United States: features and grid data Closed depression density in karst regions of the conterminous United States: features and grid data
Most methods for the assessment of sinkhole hazard susceptibility are predicated upon knowledge of pre-existing closed depressions in karst areas. In the United States (U.S.), inventories of existing karst depressions are piecemeal, and are often obtained through inconsistent methodologies applied at the state or county level and at various scales. Here, we present a first attempt at...
Filter Total Items: 24
Projected 21st century coastal flooding in the Southern California Bight. Part 2: Tools for assessing climate change-driven coastal hazards and socio-economic impacts Projected 21st century coastal flooding in the Southern California Bight. Part 2: Tools for assessing climate change-driven coastal hazards and socio-economic impacts
This paper is the second of two that describes the Coastal Storm Modeling System (CoSMoS) approach for quantifying physical hazards and socio-economic hazard exposure in coastal zones affected by sea-level rise and changing coastal storms. The modelling approach, presented in Part 1, downscales atmospheric global-scale projections to local scale coastal flood impacts by deterministically...
Authors
Li H. Erikson, Patrick L. Barnard, Andrea C. O'Neill, Nathan J. Wood, Jeanne M. Jones, Juliette Finzi Hart, Sean Vitousek, Patrick W. Limber, Maya Hayden, Michael Fitzgibbon, Jessica Lovering, Amy C. Foxgrover
Clusters of community exposure to coastal flooding hazards based on storm and sea level rise scenarios—implications for adaptation networks in the San Francisco Bay region Clusters of community exposure to coastal flooding hazards based on storm and sea level rise scenarios—implications for adaptation networks in the San Francisco Bay region
Sea level is projected to rise over the coming decades, further increasing the extent of flooding hazards in coastal communities. Efforts to address potential impacts from climate-driven coastal hazards have called for collaboration among communities to strengthen the application of best practices. However, communities currently lack practical tools for identifying potential partner...
Authors
Michelle Hummel, Nathan J. Wood, Amy Schweikert, Mark T. Stacey, Jeanne Jones, Patrick L. Barnard, Li H. Erikson
PRISM software—Processing and review interface for strong-motion data PRISM software—Processing and review interface for strong-motion data
Rapidly available and accurate ground-motion acceleration time series (seismic recordings) and derived data products are essential to quickly providing scientific and engineering analysis and advice after an earthquake. To meet this need, the U.S. Geological Survey National Strong Motion Project has developed a software package called PRISM (Processing and Review Interface for Strong...
Authors
Jeanne M. Jones, Erol Kalkan, Christopher D. Stephens, Peter Ng
HERA: A dynamic web application for visualizing community exposure to flood hazards based on storm and sea level rise scenarios HERA: A dynamic web application for visualizing community exposure to flood hazards based on storm and sea level rise scenarios
The Hazard Exposure Reporting and Analytics (HERA) dynamic web application was created to provide a platform that makes research on community exposure to coastal-flooding hazards influenced by sea level rise accessible to planners, decision makers, and the public in a manner that is both easy to use and easily accessible. HERA allows users to (a) choose flood-hazard scenarios based on...
Authors
Jeanne M. Jones, Kevin Henry, Nathan J. Wood, Peter Ng, Matthew Jamieson
Community for Data Integration 2016 annual report Community for Data Integration 2016 annual report
The Community for Data Integration (CDI) represents a dynamic community of practice focused on advancing science data and information management and integration capabilities across the U.S. Geological Survey and the CDI community. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, virtual training series, and other...
Authors
Madison L. Langseth, Leslie Hsu, Jon Amberg, Norman Bliss, Andrew R. Bock, Rachel T. Bolus, R. Sky Bristol, Katherine J. Chase, Theresa M. Crimmins, Paul S. Earle, Richard Erickson, A. Lance Everette, Jeff T. Falgout, John Faundeen, Michael N. Fienen, Rusty Griffin, Michelle R. Guy, Kevin D. Henry, Nancy J. Hoebelheinrich, Randall J. Hunt, Vivian B. Hutchison, Drew A. Ignizio, Dana M. Infante, Catherine Jarnevich, Jeanne M. Jones, Tim Kern, Scott Leibowitz, Francis L. Lightsom, R. Lee Marsh, S. Grace McCalla, Marcia McNiff, Jeffrey T. Morisette, John C. Nelson, Tamar Norkin, Todd M. Preston, Alyssa Rosemartin, Roy Sando, Jason T. Sherba, Richard P. Signell, Benjamin M. Sleeter, Eric T. Sundquist, Colin B. Talbert, Roland J. Viger, Jake F. Weltzin, Sharon Waltman, Marc Weber, Daniel J. Wieferich, Brad Williams, Lisamarie Windham-Myers
PRISM Software: Processing and Review Interface for Strong‐Motion Data PRISM Software: Processing and Review Interface for Strong‐Motion Data
A continually increasing number of high‐quality digital strong‐motion records from stations of the National Strong Motion Project (NSMP) of the U.S. Geological Survey, as well as data from regional seismic networks within the United States, calls for automated processing of strong‐motion records with human review limited to selected significant or flagged records. The NSMP has developed...
Authors
Jeanne M. Jones, Erol Kalkan, Christopher D. Stephens, Peter Ng
Science and Products
Filter Total Items: 23
Community Exposure to Future Coastal Hazards in U.S. South Carolina, reference year 2020 Community Exposure to Future Coastal Hazards in U.S. South Carolina, reference year 2020
The data set contains information on potential population, economic, land cover, and infrastructure flooding exposure for coastal communities of the state of South Carolina, USA. The type of information includes U.S. Census data on the number and types of residents, InfoGroup data on numbers and types of employees, county parcel values, NLCD land cover estimates, and infrastructure data...
Community Exposure to Future Coastal Hazards in U.S. North Carolina, reference year 2020 Community Exposure to Future Coastal Hazards in U.S. North Carolina, reference year 2020
The data set contains information on potential population, economic, land cover, and infrastructure exposure to coastal hazards for coastal communities of the state of North Carolina, USA. The type of information includes U.S. Census data on the number and types of residents, InfoGroup data on numbers and types of employees, county parcel values, NLCD land cover estimates, and...
Community Exposure to Future Coastal Hazards for U.S. Washington, reference year 2020 Community Exposure to Future Coastal Hazards for U.S. Washington, reference year 2020
The data set contains information on potential population, economic, land cover, and infrastructure flooding exposure for coastal communities of the state of Washington, USA. The type of information includes U.S. Census data on the number and types of residents, Data-Axle data on numbers and types of employees, county parcel values, NLCD land cover estimates, and infrastructure data on...
Exposure of FY2020 Federal Real Property Profile Data to 100-year and 500-year Flood Hazard Zones for the years 2022 and 2052 Exposure of FY2020 Federal Real Property Profile Data to 100-year and 500-year Flood Hazard Zones for the years 2022 and 2052
The dataset contains hazard-exposure estimates of FY2020 Federal Real Property Profile (FRPP) data to 100-year and 500-year flood-hazard zones for the years 2022 and 2052. Flow depths for each of the four hazard zones were estimated for every FRPP record using geospatial analysis. Results include raw values for estimated flow depths in centimeters and bin values on a -1 to 5 scale. Flood...
Threat prioritization framework and input data for a multi-hazard risk analysis for the U.S. Department of the Interior Threat prioritization framework and input data for a multi-hazard risk analysis for the U.S. Department of the Interior
An integral part of disaster risk management is identifying and prioritizing hazards and their potential impacts in a meaningful way to support risk-reduction planning. There has been considerable use and subsequent criticism of threat prioritization efforts that simply compare likelihoods and consequences of plausible threats. This data supports an article that summarizes a new mixed...
Closed depression density in karst regions of the conterminous United States: features and grid data Closed depression density in karst regions of the conterminous United States: features and grid data
Most methods for the assessment of sinkhole hazard susceptibility are predicated upon knowledge of pre-existing closed depressions in karst areas. In the United States (U.S.), inventories of existing karst depressions are piecemeal, and are often obtained through inconsistent methodologies applied at the state or county level and at various scales. Here, we present a first attempt at...
Filter Total Items: 24
Projected 21st century coastal flooding in the Southern California Bight. Part 2: Tools for assessing climate change-driven coastal hazards and socio-economic impacts Projected 21st century coastal flooding in the Southern California Bight. Part 2: Tools for assessing climate change-driven coastal hazards and socio-economic impacts
This paper is the second of two that describes the Coastal Storm Modeling System (CoSMoS) approach for quantifying physical hazards and socio-economic hazard exposure in coastal zones affected by sea-level rise and changing coastal storms. The modelling approach, presented in Part 1, downscales atmospheric global-scale projections to local scale coastal flood impacts by deterministically...
Authors
Li H. Erikson, Patrick L. Barnard, Andrea C. O'Neill, Nathan J. Wood, Jeanne M. Jones, Juliette Finzi Hart, Sean Vitousek, Patrick W. Limber, Maya Hayden, Michael Fitzgibbon, Jessica Lovering, Amy C. Foxgrover
Clusters of community exposure to coastal flooding hazards based on storm and sea level rise scenarios—implications for adaptation networks in the San Francisco Bay region Clusters of community exposure to coastal flooding hazards based on storm and sea level rise scenarios—implications for adaptation networks in the San Francisco Bay region
Sea level is projected to rise over the coming decades, further increasing the extent of flooding hazards in coastal communities. Efforts to address potential impacts from climate-driven coastal hazards have called for collaboration among communities to strengthen the application of best practices. However, communities currently lack practical tools for identifying potential partner...
Authors
Michelle Hummel, Nathan J. Wood, Amy Schweikert, Mark T. Stacey, Jeanne Jones, Patrick L. Barnard, Li H. Erikson
PRISM software—Processing and review interface for strong-motion data PRISM software—Processing and review interface for strong-motion data
Rapidly available and accurate ground-motion acceleration time series (seismic recordings) and derived data products are essential to quickly providing scientific and engineering analysis and advice after an earthquake. To meet this need, the U.S. Geological Survey National Strong Motion Project has developed a software package called PRISM (Processing and Review Interface for Strong...
Authors
Jeanne M. Jones, Erol Kalkan, Christopher D. Stephens, Peter Ng
HERA: A dynamic web application for visualizing community exposure to flood hazards based on storm and sea level rise scenarios HERA: A dynamic web application for visualizing community exposure to flood hazards based on storm and sea level rise scenarios
The Hazard Exposure Reporting and Analytics (HERA) dynamic web application was created to provide a platform that makes research on community exposure to coastal-flooding hazards influenced by sea level rise accessible to planners, decision makers, and the public in a manner that is both easy to use and easily accessible. HERA allows users to (a) choose flood-hazard scenarios based on...
Authors
Jeanne M. Jones, Kevin Henry, Nathan J. Wood, Peter Ng, Matthew Jamieson
Community for Data Integration 2016 annual report Community for Data Integration 2016 annual report
The Community for Data Integration (CDI) represents a dynamic community of practice focused on advancing science data and information management and integration capabilities across the U.S. Geological Survey and the CDI community. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, virtual training series, and other...
Authors
Madison L. Langseth, Leslie Hsu, Jon Amberg, Norman Bliss, Andrew R. Bock, Rachel T. Bolus, R. Sky Bristol, Katherine J. Chase, Theresa M. Crimmins, Paul S. Earle, Richard Erickson, A. Lance Everette, Jeff T. Falgout, John Faundeen, Michael N. Fienen, Rusty Griffin, Michelle R. Guy, Kevin D. Henry, Nancy J. Hoebelheinrich, Randall J. Hunt, Vivian B. Hutchison, Drew A. Ignizio, Dana M. Infante, Catherine Jarnevich, Jeanne M. Jones, Tim Kern, Scott Leibowitz, Francis L. Lightsom, R. Lee Marsh, S. Grace McCalla, Marcia McNiff, Jeffrey T. Morisette, John C. Nelson, Tamar Norkin, Todd M. Preston, Alyssa Rosemartin, Roy Sando, Jason T. Sherba, Richard P. Signell, Benjamin M. Sleeter, Eric T. Sundquist, Colin B. Talbert, Roland J. Viger, Jake F. Weltzin, Sharon Waltman, Marc Weber, Daniel J. Wieferich, Brad Williams, Lisamarie Windham-Myers
PRISM Software: Processing and Review Interface for Strong‐Motion Data PRISM Software: Processing and Review Interface for Strong‐Motion Data
A continually increasing number of high‐quality digital strong‐motion records from stations of the National Strong Motion Project (NSMP) of the U.S. Geological Survey, as well as data from regional seismic networks within the United States, calls for automated processing of strong‐motion records with human review limited to selected significant or flagged records. The NSMP has developed...
Authors
Jeanne M. Jones, Erol Kalkan, Christopher D. Stephens, Peter Ng