Terrestrial Observation and Prediction System: integration of satellite and surface weather observations with ecosystem models. - Rama Nemani; Petr Votava; John Roads; Michael A. White; Steven W. Running; Joseph C. Coughlan (IGARSS, 2002)

Parallel Distributed Application Framework for Earth Science Data Processing. - Petr Votava; Ramakrishna R. Nemani; Keith Golden; Daniel E. Cooke; Hector Hernandez; Changming Ma (ScanGIS, 2003)

Prediction of Continental-Scale Evapotranspiration by Combining MODIS and AmeriFlux Data Through Support Vector Machine. - Feihua Yang; Michael A. White; Andrew R. Michaelis; Kazuhito Ichii; Hirofumi Hashimoto; Petr Votava; A-Xing Zhu; Ramakrishna R. Nemani (IEEE Trans. Geosci. Remote. Sens., 2006)

Distributed Anomaly Detection using Satellite Data From Multiple Modalitie. - Kanishka Bhaduri; Kamalika Das; Petr Votava (CIDU, 2010)

A physically based approach in retrieving vegetation Leaf Area Index from Landsat surface reflectance data. - Sangram Ganguly; Ramakrishna R. Nemani; Yuri Knyazikhin; Weile Wang; Hirofumi Hashimoto; Petr Votava; Andrew R. Michaelis; Cristina Milesi; Jennifer L. Dungan; Forrest S. Melton; Ranga B. Myneni (WHISPERS, 2010)

Distributed anomaly detection using 1-class SVM for vertically partitioned data. - Kamalika Das; Kanishka Bhaduri; Petr Votava (Stat. Anal. Data Min., 2011)

Satellite Irrigation Management Support With the Terrestrial Observation and Prediction System: A Framework for Integration of Satellite and Surface Observations to Support Improvements in Agricultural Water Resource Management. - Forrest S. Melton; Lee F. Johnson; Christopher P. Lund; Lars L. Pierce; Andrew R. Michaelis; Samuel H. Hiatt; Alberto Guzman; Diganta D. Adhikari; Adam J. Purdy; Carolyn Rosevelt; Petr Votava; Thomas J. Trout; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012)

A Technique of Analyzing Trust Relationships to Facilitate Scientific Service Discovery and Recommendation. - Jia Zhang 001; Petr Votava; Tsengdar J. Lee; Shrikant Adhikarla; Isaraporn Cherry Kulkumjon; Matthew Schlau; Divya Natesan; Ramakrishna R. Nemani (IEEE SCC, 2013)

Bridging VisTrails Scientific Workflow Management System to High Performance Computing. - Jia Zhang 001; Petr Votava; Tsengdar J. Lee; Owen Chu; Clyde Li; David Liu; Kate Liu; Norman Xin; Ramakrishna R. Nemani (SERVICES, 2013)

A Community-Driven Workflow Recommendations and Reuse Infrastructure. - Jia Zhang 001; Chris Lee 002; Sean Xiao; Petr Votava; Tsengdar J. Lee; Ramakrishna R. Nemani; Ian T. Foster (SOSE, 2014)

A community-oriented workflow reuse and recommendation technique. - Jia Zhang 001; Chris Lee 002; Petr Votava; Tsengdar J. Lee; Ramakrishna R. Nemani; Ian T. Foster (Int. J. Bus. Process. Integr. Manag., 2015)

A Trust-Powered Technique to Facilitate Scientific Tool Discovery and Recommendation. - Jia Zhang 001; Chris Lee 002; Petr Votava; Tsengdar J. Lee; Shuai Wang; Venkatesh Sriram; Neeraj Saini; Pujita Rao; Ramakrishna R. Nemani (Int. J. Web Serv. Res., 2015)

A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture. - Saikat Basu; Sangram Ganguly; Ramakrishna R. Nemani; Supratik Mukhopadhyay; Gong Zhang; Cristina Milesi; Andrew R. Michaelis; Petr Votava; Ralph Dubayah; Laura Duncanson; Bruce D. Cook; Yifan Yu 007; et al. (IEEE Trans. Geosci. Remote. Sens., 2015)

Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing. - Uttam Kumar 001; Sangram Ganguly; Ramakrishna R. Nemani; S. Kumar Raja; Cristina Milesi; Ruchita Sinha; Andrew R. Michaelis; Petr Votava; Hirofumi Hashimoto; Shuang Li; Weile Wang; Subodh Kalia; et al. (Remote. Sens., 2017)