Nina Raqueno Headshot

Nina Raqueno

Research/Engineering Support IV

Chester F. Carlson Center for Imaging Science
College of Science
Adjunct Faculty

585-475-7676
Office Location

Nina Raqueno

Research/Engineering Support IV

Chester F. Carlson Center for Imaging Science
College of Science
Adjunct Faculty

585-475-7676

Select Scholarship

Journal Paper
Raqueno, Nina G., et al. "Landsat-8 Thermal Infrared Sensor (TIRS) Vicarious Radiometric Calibration." Remote Sensing 6. 11 (2014): 11607--11626. Print.
Raqueno, Nina G., et al. "Development of an Operational Calibration Methodology for the Landsat Thermal Data Archive and Initial Testing of the Atmospheric Compensation Component of a Land Surface Temperature (LST) Product from the Archive." Remote Sensing 6. 11 (2014): 11244--11266. Print.
Aardt, Jan A. van, et al. "Geospatial Disaster Response During the Haiti Earthquake: A Case Study Spanning Airborne Deployment, Data Collection, Transfer, Processing, and Dissemination." Photogrammetric Engineering and Remote Sensing 77. 9 (2011): 943-952. Print.
Padula, Francis P., et al. "Calibration of Landsat 5 Thermal Infrared Channel: Updated Calibration History and Assessment of the Errors Associated with the Methodology." Canadian Journal of Remote Sensing 36. 5 (2011): 617-630. Print.
Schott, John R., et al. "Thermal Infrared Radiometric Calibration of the Entire Landsat 4, 5, and 7 Archive (1982-2010)." Remote Sensing of the Environment. (2011): NA. Print.
Published Conference Proceedings
Raqueno, Nina G. "Chasing the TIRS ghosts: Calibrating the Landsat 8 Thermal Bands." Proceedings of the SPIE Optical Engineering+ Applications. San Diego, California: SPIE Optical, 2014. Print.
Giannandrea, AnneMarie, et al. "The SHARE 2012 Data Campaign." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX. Baltimore, Maryland: n.p., 2013. Print.
Canham, Kelly, et al. "SHARE 2012: Large Edge Targets for Hyperspectral Imaging Applications." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX. Baltimore, Maryland: n.p., 2013. Print.
Kerekes, John P., et al. "SHARE 2012: Subpixel Detection and Unmixing Experiments." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX. Baltimore, Maryland: n.p., 2013. Print.
Canham, Kelly, et al. "Spectral Library Generation for Hyperspectral Archaeological Validation." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. Baltimore, MD: n.p., 2012. Print.
Pahlevan, Nima, Nina G. Raqueno, and John R. Schott. "Cross-calibration Landsat 7 with Terra-MODIS over Dark Waters." Proceedings of the Ocean Sensing and Monitoring IV. Baltimore, MD: n.p., 2012. Print.
Herweg, Jared, et al. "SpecTIR Hyperspectral Airborne Rochester Experiment Data Collection Campaign." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. Baltimore, MD: n.p., 2012. Print.
Ontiveros, Erin M., et al. "Evaluation of Image Colleevaluation of Image Collection Requirements for 3D Reconstruction Using Phototourism Techniques on Sparse Overhead Dataction Requirements for 3D Reconstruction Using Phototourism Techniques on Sparse Overhead Data." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. Baltimore, MD: n.p., 2012. Print.
Gerace, Aaron D., et al. "Data-driven Simulations of the Landsat Data Continuity Mission (LDCM) Platform." Proceedings of the Ultraspectral Imagery XVII. Orlando, FL: n.p., 2011. Print.
Gerace, Aaron D., et al. "Data-driven Simulations of the Landsat Data Continuity Mission (LDCM) Platform." Proceedings of the Ultraspectral Imagery XVII. Orlando, FL: n.p., 2011. Print.
Faulring, Jason W., et al. "Supporting Relief Efforts of the 2010 Haitian Earthquake using an Airborne Multi-Modal Remote Sensing Platform." Proceedings of the SPIE Conference on Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII. Orlando, FL: n.p., 2011. Print.

Currently Teaching

ENVS-250
4 Credits
Through hands-on projects and case studies, this course illustrates concepts and applications of raster and vector geographic information systems (GIS) in a variety of disciplines, such as environmental science, biology, geology, geography, sociology, and economics. Students will learn how to use GIS software and spatial analyses, plan a project, create a database, and conduct an independent project. Students should have completed a foundational course in their major and be comfortable working with computers. Experience with programming is also useful. (Foundational course in student's major field of study or permission of instructor).

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