PUBLICATIONS and PRESENTATIONS

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.

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 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 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.

Ramachandran R. Data Mining. In: WSR-88D Workshop. WSR-88D Workshop. National Climatic Data Center, Asheville, North Carolina; 1999.

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.

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.

Lynnes C, Ramachandran R, Conover H, Movva S, Wilson B. Demo III Collaborative workflows in earth science data mining. In: 2009 International Symposium on Collaborative Technologies and Systems. 2009 International Symposium on Collaborative Technologies and Systems. Baltimore, MD: IEEE Computer Society; 2009. Available from: http://portal.acm.org/citation.cfm?id=1581308

Keiser K, Conover H, Graves SJ, He Y, Regner K, Smith M. Distributed Technologies in a Data Pool. In: American Geophysical Union 2004 Fall Meeting. American Geophysical Union 2004 Fall Meeting. San Francisco, CA; 2004.

Fitzgerald D, Ramachandran R, Domenic, Clark R, Baltzer T, Chiao, Burge, Li. EarlyLEAD: A Non-Grid Application of LEAD Capability. In: LEAD NSF Site Review. LEAD NSF Site Review. University of Illinois, Urbana Champaign; 2005.

Ramachandran R. Earth Science Markup Language Tutorial. In: Earth Science Federation Meeting. Earth Science Federation Meeting. Boulder, Colorado; 2003.

Rushing J, Berendes T, Graves S. Efficient Parallel Computation of Inverse Document Frequency Features for Text Mining. In: The 2007 International Conference on Data Mining (DMIN 07). The 2007 International Conference on Data Mining (DMIN 07). Las Vegas, NV; 2007.

Ramachandran R, Wilson B, et al. Emergent Science - a new way forward?. In: IEEE International Geoscience & Remote Sensing Symposium. IEEE International Geoscience & Remote Sensing Symposium. Honolulu, HI; 2010.

Ramachandran R, Conover H. Emergent Science: Accelerating the scientific process via simple collaborative interactions. In: Geological Society of America Annual Meeting. Geological Society of America Annual Meeting. Denver, CO; 2010.

Li X, Ramachandran R, Wilson BD, Lynnes C, Conover H. Emergent Science: Solving Complex Science Problems via Collaborations. In: American Geophysical Union. American Geophysical Union. San Francisco, CA; 2009. Available from: http://adsabs.harvard.edu/abs/2009AGUFMED13E.05L

Conover H, Ramachandran R, Smith T, Kulkarni A, Maskey M, He M, Keiser K, Graves S. Expanding the Role of an Earth Science Data System: The GHRC Innovations Lab. In: AGU. AGU. San Francisco, CA: AGU; 2013.

Regner K, Conover H, et al, Beaumont B, Graves SJ, Hawkins L, Parker P. Flexible Processing at the AMSR-E SIPS. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS '05). IEEE International Geoscience and Remote Sensing Symposium (IGARSS '05). Seoul, Korea; 2005.

Tanner S, Conover H, Graves SJ, Keiser K, Ramachandran R, Sandi Redman. A Framework for Sensor Data and Product Processing. In: Workshop on Multi/Hyperspectral Technology and Applications. Workshop on Multi/Hyperspectral Technology and Applications. Redstone Arsenal, AL; 2002.

Ramachandran R, Graves S, Berendes T, Maskey M, Chidambaram C, Christopher S, Hogan P, Gaskins T. GLIDER: A comprehensive software tool to visualize, analyze and mine satellite imagery. In: IEEE International Geoscience & Remote Sensing Symposium. IEEE International Geoscience & Remote Sensing Symposium. Cape Town, South Africa; 2009. Available from: http://wiki.esipfed.org/index.php/GLIDER:_A_comprehensive_software_tool_to_visualize,_analyze_and_mine_satellite_imagery

Berendes T, Ramachandran R, Maskey M, Graves S. GLIDER: Application for Earth Science Data Mining and Visualization. In: Rocket City Geospatial & Alabama GIS Conference. Rocket City Geospatial & Alabama GIS Conference. Huntsville, AL; 2011.

Ramachandran R, Movva S, Berendes T, Maskey M, Chidambaram C, Hogan P, Gaskin T. GLIDER: Free Tool Imagery Data Visualization, Analysis and Mining. In: American Geophysical Union. American Geophysical Union. San Francisco, CA; 2009. Available from: http://adsabs.harvard.edu/abs/2009AGUFMIN51C.07R

Maskey M, Conover H, Keiser K, Ramachandran R, Graves S. Global Hydrology Resource Center: A Foundation for Research Using Earth Observation Data. In: 61st International Astronautical Congress. 61st International Astronautical Congress. Prague, Czech Republic; 2010.

Duvall A, Ramachandran R. Intercomparison of candidate methods for mineral dust aerosol classification using MODIS infrared and visible channels. In: 17th International Conference on Geoinformatics. 17th International Conference on Geoinformatics. Fairfax, VA; 2009. Available from: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5292935

Regner K, Graves DS, Jones S, Harrison S, Beaumont B, Leon A, Conover H. Introducing LANCE, NASA’s Near-real-time Processing Capability for Aqua AMSR-E. In: American Geophysical Union. American Geophysical Union. San Francisco, CA; 2010.

Regner K. LANCE Processing at the AMSR-E SIPS. In: AMSR-E Science Team Meeting. AMSR-E Science Team Meeting. Huntsville, AL; 2010.