PUBLICATIONS and PRESENTATIONS

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.

Ramachandran R, Conover H, Graves SJ, Keiser K. Mining Earth Science Data. 8th International Symposium on Remote Sensing of Environment. 2000 .

Ramachandran R, Rushing J, Li X, Kamath C, Conover H, Graves S. Bird's Eye View of Data Mining in Geosciences. In: A.K.Sinha Geoinformatics: Data to Knowledge. Geoinformatics: Data to Knowledge. Geological Society of America Special Paper 397; 2006.

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.

Ramachandran R, Raghavan R, Goodman SJ. Estimating Ice Water Content Using Observed Lightning. International Conference on Atmospheric Electricity. 1996 .

Ramachandran R, Rushing J, Conover H, Graves SJ, Keiser K. Flexible Framework for Mining Meteorological Data. American Meteorological Society's (AMS) 19th International Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology. 2003 .

Ramachandran R, Graves S, Raskin R. Ontology Re-engineering Use Case: Extending SWEET to Map Climate and Forecasting Vocabulary Terms. Geoinformatics 2006. 2006 .

Ramachandran R, Graves S, et al. Visualize, analyze and mine satellite imagery using GLIDER software tool. In: 90th AMS Annual Meeting. 90th AMS Annual Meeting. Atlanta, GA; 2010.

Ramachandran R, Graves S, Berendes T, Maskey M. Mine Your Data: GLIDER brings data mining to the masses. [Internet]. 2012 . Available from: https://www.itsc.uah.edu/sites/default/files/esipmeeting2011_glider.jpg

Ramachandran R, Conover H, Graves S, Keiser K. Earth Science Markup Language: An update. NASA Earth Science Technology Conference. 2002 .

Ramachandran R, Rushing J, Lin A, Kuo K-S, Clune T. Polaris: A Discovery Engine for Big Data. IGARSS. 2013 .

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

Ramachandran R, Movva S, Li X, Cherukuri P, Graves S. Noesis: Ontology based Scoped Search Engine and Resource Aggregator for Atmospheric Science. AGU Annual Meeting. 2006 .

Ramachandran R, Li X, Movva S, Graves S, Nair US, Lynnes C. Investigating Data Mining Techniques to Detect Dust Storms in MODIS Imagery. 32nd International Symposium on Remote Sensing of Environment. 2007 .

Ramachandran R, Berendes T, Keiser K, Conover H, Graves S. GLIDER: Earth Science Image Visualization and Analysis. 2010 [Internet]. 2010 . Available from: https://www.itsc.uah.edu/main/sites/default/files/glider_poster.jpg

Ramachandran R, Graves S, Berendes T, Maskey M, Chidambaram C, Christopher S, Hogan P, Gaskins T. Visualize, Analyze and Mine Satellite Imagery Using a Single Tool. 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=5292953

Ramachandran R, Conover H, Keiser K, Movva S, Graves S. A Syntactic and Semantic Metadata Solution for Intelligent Applications in Earth Science. American Geophysical Union 2004 Fall Meeting. 2004 .

Ramachandran R, Conover H, Graves SJ, Christopher SA. Earth Science Markup Language: A Solution to the Earth Science Data Format Heterogeneity Problem. American Meteorological Society's (AMS) 19th International Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology. 2003 .

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, Graves SJ, Raskin R. Ontology Re-engineering Use Case: Extending SWEET to map Climate and Forecasting Vocabulary Terms. In: Joint Assembly of the American Geophysical Union. Joint Assembly of the American Geophysical Union. Baltimore, MD; 2006.

Ramachandran R, Nair US, Graves SJ, Tanner S, Welch R, Rushing J. Comparing Texture Feature Characterization Methods for Cumulus Cloud Classification in GOES Images. Third Workshop on Mining Scientific Datasets held in conjunction with the First SIAM conference on Data Mining. 2001 .

Ramachandran R, Li X, Movva S, Graves S, Greco S, Emmitt D, Terry J, Atlas R. Intelligent Data Thinning Algorithm for Earth System Numerical Model Research and Application. 21st International Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, 85th AMS Annual Meeting. 2005 .

Ramachandran R, Graves S, Conover H, Moe K. Earth Science Markup Language (ESML): a solution for scientific data-application interoperability problem. Computers & Geosciences [Internet]. 2004 ;30:117-124. Available from: http://www.sciencedirect.com/science/article/B6V7D-4BF5TY9-2/2/430d6854b74d0499f30ce80b57d51966

Raskin R, Burrows H, Conover H, Gallagher J, Major GR, Rhyne T. Discovering and Accessing Data from the Federation of Earth Science Information Partners. Eos, Transactions, AGU. 2002 ;Vol. 83.

Redman S, Bradford R. An Analysis for the Use of Research and Education Networks and Commercial Network Vendors in Support of Space Based Mission Critical and Non-Critical Networking. 2002 .