PUBLICATIONS and PRESENTATIONS

Nair US, Rushing J, Ramachandran R, Kuo K-S, Graves SJ, Welch R. Detection of Cumulus Cloud Fields in Satellite Imagery. International Symposium on Optical Science, Engineering and Instrumentation (SPIE). 1999 .

Graves S, Ramachandran R, Keiser K, Maskey M, Lynnes C, Pham L. Deployable Suite of Data Mining Web Services for Online Science Data Repositories. 87th AMS Annual Meeting. 2007 .

Collins CB, Beck JM, Bridges SM, Rushing J, Graves S. Deep Learning for Multisensor Image Resolution Enhancement. In: GeoAI’17: 1st ACM SIGSPATIAL Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery. GeoAI’17: 1st ACM SIGSPATIAL Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery. Redondo Beach, CA USA: ACM; 2017.

Keiser K, Maskey M, Nair U, Wu Y-ling, Glass P, Dhakal A. Decision Support Using NASA Data and Dispersion Modeling to Identify Possible Impacts of Prescribed Burns in Alabama. ESIP Meeting 2012 [Internet]. 2012 . Available from: https://www.itsc.uah.edu/main/sites/default/files/Fires-for-ESIP-July-2012-v2.jpg

Li X, Ramachandran R, Movva S, Graves SJ, Germany G, Lyatsky W, Tan A. Dayglow Removal from FUV Auroral Images. IEEE International Geoscience and Remote Sensing Symposium (IGARSS '04). 2004 .

Li X, Ramachandran R, Movva S, Graves SJ, Germany G, Lyatsky W, Tan A. Dayglow Removal from FUV Auroral Images. IEEE International Geoscience and Remote Sensing Symposium (IGARSS '04). 2004 .

Smith M, Beaumont B, Graves SJ. A Dataset-Independent Subsetting Prototype. In: HDF-EOS Vendors Workshop. HDF-EOS Vendors Workshop. Goddard Space Flight Center; 1997.

Maskey M, Graves SJ, McEniry M, Bugbee K, Conover H, Ramachandran R. Data Systems for the HS3 Field Campaign. ESIP 2015 Winter Meeting [Internet]. 2015 . Available from: http://www.itsc.uah.edu/main/posters/data-system-hs3-field-campaign-agu-2014

Ramachandran R, Rushing J, Lin A, Conover H, Li X, Graves S, Nair US, Kuo K-S, Smith D. Data Prospecting–A Step Towards Data Intensive Science. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2013 ;6(3):1233-1241.

Graves SJ. Data Preparedness for Disasters, Hazards and Other Events Nair U, Ebersole S, Keiser K, McEniry M, Beck JM. ESIP Winter Meeting. 2017 .

Keiser K, Graves SJ. Data Preparedness for Disaster and Events. In: GEOSS Future Products Workshop – Sensor Web Session. GEOSS Future Products Workshop – Sensor Web Session. Silver Springs, MD: GEOSS Future Products Workshop – Sensor Web Session; 2013.

Graves S, Ramachandran R, Keiser K, Maskey M, Lynnes C, Pham L. Data Mining Web Services for Science Data Repositories. AGU Annual Meeting. 2006 .

Conover H, Graves SJ, Ramachandran R, Sandi Redman, Rushing J, Tanner S, Wilhelmson R. Data Mining on the TeraGrid. Supercomputing Conference 2003. 2003 .

Graves SJ. Data Mining on A Bioinformatics Grid. In: SURA BioGrid Workshop. SURA BioGrid Workshop. Raleigh, N.C.; 2003.

Ramachandran R, Conover H, Graves SJ, Keiser K. Data Mining: Atmospheric Science Case Study. In: NASA Workshop on Issues in the Application of Data Mining to Scientific Data. NASA Workshop on Issues in the Application of Data Mining to Scientific Data. University of Alabama in Huntsville, Huntsville, AL; 1999.

Graves SJ. Data Mining and Data Usability. In: 2004 SIAM International Conference on Data Mining. 2004 SIAM International Conference on Data Mining. Lake Buena Vista, FL; 2004.

Graves S, Conover H, Keiser K, Ramachandran R, Redman S, Rushing J, Tanner S. Data Interchange in a Grid Environment: The Use of the Earth Science Markup Language (ESML) in the Linked Environments for Atmospheric Discovery (LEAD). In: Supercomputing Conference 2004. Supercomputing Conference 2004. Pittsburg, PA; 2004.

Graves SJ, Conover H, Keiser K, Ramachandran R, Sandi Redman, Rushing J, Tanner S. Data Interchange in a Grid Environment: The Use of the Earth Science Markup Language (EMSL) in the Linked Environments for Atmospheric Discovery (LEAD). Supercomputing Conference 2004. 2003 .

Graves SJ. Data Fusion in a Data Mining Framework. In: Combating Uncertainty with Fusion Workshop. Combating Uncertainty with Fusion Workshop. Woods Hole, MA; 2002.

Lin H, Rushing J, Graves SJ, Criswell E. A data fusion algorithm for large heterogeneous sensor networks. In: International Conference on Wireless algorithms, Systems and Applications. International Conference on Wireless algorithms, Systems and Applications. Chicago, IL; 2007.

Demir I, Conover H, Krajewski W, Seo BC, Goska R, He Y, McEniry M, Graves S, Petersen W. Data Enabled Field Experiment Planning, Management, and Research using Cyberinfrastructure. Journal of Hydrometeorology [Internet]. 2015 ;16(3):1155-1170. Available from: http://journals.ametsoc.org/doi/pdf/10.1175/JHM-D-14-0163.1

Demir I, Conover H, Krajewski W, Seo BC, Goska R, He Y, McEniry M, Graves S, Petersen W. Data Enabled Field Experiment Planning, Management, and Research using Cyberinfrastructure. Journal of Hydrometeorology [Internet]. 2015 ;16(3):1155-1170. Available from: http://journals.ametsoc.org/doi/pdf/10.1175/JHM-D-14-0163.1

Goodman M, Berthiau G, Conover H, Li X, Lu Y, Maskey M, Regner K, Zavodsky B, Blakeslee R, Botts M, et al. Data Assimilation Decision Making Using Sensor Web Enablement. In: SPoRT Data Assimilation Workshop. SPoRT Data Assimilation Workshop. Marshall Space Flight Center; 2009. Available from: http://weather.msfc.nasa.gov/sport/workshops/da_2009/Maskey_DA_Data.ppt

Tanner S, Graves S, Hardin D. A Data and Information System for Arctic Research. In: American Geophysical Union. American Geophysical Union. ; 2010.

Maskey M, Ramachandran R, Kulkarni A, Conover H, Goodman M, Zavodsky B, Braun S, Wilson B. Data Albums: A synthesis engine to support case study and climatology analysis. In: AGU. AGU. San Francisco, CA: AGU; 2013.