A diagram showing shortest and longest axes of a canal/ditch feature in the elevation-derived hydrography dataset.
Christy-Ann M. Archuleta
Christy-Ann Archuleta is an Elevation-derived Hydrography Applied Researcher for the USGS National Geospatial Technical Operations Center, and is a geographer who specializes in Geographic Information Systems (GIS) .
Christy-Ann Archuleta is an Elevation-derived Hydrography Applied Researcher for the USGS National Geospatial Technical Operations Center, and is a geographer who specializes in Geographic Information Systems (GIS) . She has a Masters of Applied Geography from Texas State University (2001). From May 2005 until September 2011, Christy-Ann worked for the USGS Texas Water Science Center, and from October 2011 until the present she has worked for the USGS National Geospatial Technical Operations Center. Prior to working for the US Geological Survey, she worked as a GIS Analyst for the City of Austin Combined Transportation, Emergency and Communications Center (CTECC), for the Texas Water Development Board (TWDB), and for the Texas Commission on Environmental Quality (TCEQ). While working for the USGS, she has worked on a variety of GIS projects involving ArcGIS, ArcHydro, ArcGIS Server, and Web Mapping Application development.
Education and Certifications
Masters of Applied Geography, Texas State University, May 2001
B.A. in Geography (Minor in Archaeology), University of Texas at Austin, May 1998
Science and Products
Non-USGS Publications**
http://www.asprs.org/a/publications/proceedings/IGTF2016/IGTF2016-000025.PDF
http://www.asprs.org/a/publications/proceedings/IGTF2016/Archuleta_poster_final.pdf
Applications to Provide and Manage Geospatial Data, and Lessons Learned along the Way
by Christy-Ann M. Archuleta, published in Sieverling, J.B., and Dietterle, Jeffrey, eds., 2014, Proceedings of the U.S. Geological Survey Eighth Biennial
Geographic Information Science Workshop and First The National Map Users Conference, Denver, Colorado,
May 10–13, 2011: U.S. Geological Survey Scientific Investigations Report 2011–5053, 91 p.,
http://dx.doi.org/10.3133/sir20115053.
of Water-Quality Remediation
by Sophia Gonzales, Christy-Ann Archuleta, and David R. Maltby. Publishes in:
Sieverling, J.B., and Dietterle, Jeffrey, eds., 2014, Proceedings of the U.S. Geological Survey Eighth Biennial
Geographic Information Science Workshop and First The National Map Users Conference, Denver, Colorado,
May 10–13, 2011: U.S. Geological Survey Scientific Investigations Report 2011–5053, 91 p.,
http://dx.doi.org/10.3133/sir20115053.
Published in:
Helterbrand, W.S., and Sieverling, J.B., eds., 2008, Proceedings of the U.S. Geological Survey Seventh Biennial Geographic Information Science Workshop, Denver, Colorado, May 12–16, 2008, U.S. Geological Survey Scientific Investigations Report 2008–5074, 66 p.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
A diagram showing shortest and longest axes of a canal/ditch feature in the elevation-derived hydrography dataset.
Example of artificial path features in Lake Fannie in Minnesota. Source data are from the National Hydrography Dataset (U.S. Geological Survey, 2020), which is used to provide examples of hydrographic feature types but may not have the same density and other characteristics of elevation-derived hydrography.
Example of artificial path features in Lake Fannie in Minnesota. Source data are from the National Hydrography Dataset (U.S. Geological Survey, 2020), which is used to provide examples of hydrographic feature types but may not have the same density and other characteristics of elevation-derived hydrography.
Science and Products
Non-USGS Publications**
http://www.asprs.org/a/publications/proceedings/IGTF2016/IGTF2016-000025.PDF
http://www.asprs.org/a/publications/proceedings/IGTF2016/Archuleta_poster_final.pdf
Applications to Provide and Manage Geospatial Data, and Lessons Learned along the Way
by Christy-Ann M. Archuleta, published in Sieverling, J.B., and Dietterle, Jeffrey, eds., 2014, Proceedings of the U.S. Geological Survey Eighth Biennial
Geographic Information Science Workshop and First The National Map Users Conference, Denver, Colorado,
May 10–13, 2011: U.S. Geological Survey Scientific Investigations Report 2011–5053, 91 p.,
http://dx.doi.org/10.3133/sir20115053.
of Water-Quality Remediation
by Sophia Gonzales, Christy-Ann Archuleta, and David R. Maltby. Publishes in:
Sieverling, J.B., and Dietterle, Jeffrey, eds., 2014, Proceedings of the U.S. Geological Survey Eighth Biennial
Geographic Information Science Workshop and First The National Map Users Conference, Denver, Colorado,
May 10–13, 2011: U.S. Geological Survey Scientific Investigations Report 2011–5053, 91 p.,
http://dx.doi.org/10.3133/sir20115053.
Published in:
Helterbrand, W.S., and Sieverling, J.B., eds., 2008, Proceedings of the U.S. Geological Survey Seventh Biennial Geographic Information Science Workshop, Denver, Colorado, May 12–16, 2008, U.S. Geological Survey Scientific Investigations Report 2008–5074, 66 p.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
A diagram showing shortest and longest axes of a canal/ditch feature in the elevation-derived hydrography dataset.
A diagram showing shortest and longest axes of a canal/ditch feature in the elevation-derived hydrography dataset.
Example of artificial path features in Lake Fannie in Minnesota. Source data are from the National Hydrography Dataset (U.S. Geological Survey, 2020), which is used to provide examples of hydrographic feature types but may not have the same density and other characteristics of elevation-derived hydrography.
Example of artificial path features in Lake Fannie in Minnesota. Source data are from the National Hydrography Dataset (U.S. Geological Survey, 2020), which is used to provide examples of hydrographic feature types but may not have the same density and other characteristics of elevation-derived hydrography.