Cumulus Cloud Rendering Techniques. - Manil Maskey; Timothy S. Newman (Computer Graphics and Imaging, 2005)

Validation of texture measures for cumulus cloud image classification. - Manil Maskey; Timothy S. Newman (SIP, 2005)

SCOOP Data Management: A Standards-based Distributed System for Coastal Data and Modeling. - Helen Conover; Bruce Beaumont; Marilyn Drewry; Sara J. Graves; Ken Keiser; Manil Maskey; Matt Smith 002; Philip Bogden; Joanne Bintz (IGARSS, 2006)

Mining Scientific Data using the Internet as the Computer. - Sara J. Graves; Rahul Ramachandran; Christopher Lynnes; Manil Maskey; Ken Keiser; Long Pham (IGARSS (4), 2008)

Using Sensor Web Processes and Protocols to Assimilate Satellite Data into a Forecast Model. - Kathryn Regner; Helen Conover; H. Michael Goodman; Bradley Zavodsky; Manil Maskey; Gary Jedlovec; Xiang Li 043; Jessica Lu; Mike Botts; Gregoire Berthiau (IGARSS (5), 2008)

GLIDER: A Comprehensive Software Tool to Visualize, Analyze and Mine Satellite Imagery. - Rahul Ramachandran; Sara J. Graves; Todd Berendes; Manil Maskey; C. Chidambaram; Sundar A. Christopher; P. Hogan; Tom Gaskins (IGARSS (3), 2009)

Using sensor web protocols for environmental data acquisition and management. - Helen Conover; Gregoire Berthiau; Mike Botts; H. Michael Goodman; Xiang Li 043; Yue Lu; Manil Maskey; Kathryn Regner; Bradley Zavodsky (Ecol. Informatics, 2010)

Talkoot: software tool to create collaboratories for earth science. - Rahul Ramachandran; Manil Maskey; Ajinkya Kulkarni; Helen Conover; Udaysankar Nair; Sunil Movva (Earth Sci. Informatics, 2012)

Directional Texture for Visualization - New Technique and Application Study. - Manil Maskey; Timothy S. Newman (IV, 2015)

A Measure of Texture Directionality. - Manil Maskey; Timothy S. Newman (VISAPP (2), 2015)

Exploiting dark information resources to create new value added services to study Earth science phenomena. - Rahul Ramachandran; Manil Maskey; Xiang Li 043; Kaylin M. Bugbee (IGARSS, 2016)

A Fine-Grained API Link Prediction Approach Supporting Mashup Recommendation. - Qihao Bao; Jia Zhang 001; Xiaoyi Duan; Rahul Ramachandran; Tsengdar J. Lee; Yankai Zhang; Yuhao Xu; Seungwon Lee; Lei Pan; Patrick Gatlin; Manil Maskey (ICWS, 2017)

A relevancy algorithm for curating earth science data around phenomenon. - Manil Maskey; Rahul Ramachandran; Xiang Li 043; Amanda Weigel; Kaylin M. Bugbee; Patrick Gatlin; Jeffrey J. Miller (Comput. Geosci., 2017)

Facilitating Data-Centric Recommendation in Knowledge Graph. - Jia Zhang 001; Maryam Pourreza; Rahul Ramachandran; Tsengdar J. Lee; Patrick Gatlin; Manil Maskey; Amanda Marie Weigel (CIC, 2018)

A Neural Network-Powered Cognitive Method of Identifying Semantic Entities in Earth Science Papers. - Xiaoyi Duan; Jia Zhang 001; Rahul Ramachandran; Patrick Gatlin; Manil Maskey; Jeffrey J. Miller; Kaylin M. Bugbee; Tsengdar J. Lee (ICCC, 2018)

Earth Science Deep Learning: Applications and Lessons Learned. - Manil Maskey; Rahul Ramachandran; Jeffrey J. Miller; Jia Zhang 001; Iksha Gurung (IGARSS, 2018)

The art and science of data curation: Lessons learned from constructing a virtual collection. - Kaylin M. Bugbee; Rahul Ramachandran; Manil Maskey; Patrick Gatlin (Comput. Geosci., 2018)

Detection of transverse cirrus bands in satellite imagery using deep learning. - Jeffrey J. Miller; Udaysankar Nair; Rahul Ramachandran; Manil Maskey (Comput. Geosci., 2018)

Tropical Cyclone Intensity Estimation Using a Deep Convolutional Neural Network. - Ritesh Pradhan; Ramazan S. Aygün; Manil Maskey; Rahul Ramachandran; Daniel J. Cecil (IEEE Trans. Image Process., 2018)

Building a Data Ecosystem: A New Data Stewardship Paradigm for the Multi-Mission Algorithm and Analysis Platform (MAAP). - Kaylin M. Bugbee; Christopher Lynnes; Manil Maskey; Aimee Barciauskas; Rahul Ramachandran; Aaron Kaulfus; Jeanné le Roux; Jeffrey J. Miller; Iksha Gurung; Amanda S. Whitehurst (IGARSS, 2019)

Visage - A Visualization and Exploration Framework for Environmental Data. - Helen Conover; Brian Ellingson; Bibek Dahal; Khomsun Singhirunnusorn; Todd Berendes; Patrick Gatlin; Manil Maskey; Aaron Naeger; Stephanie Wingo; Ajinkya Kulkarni; Abdelhak Marouane; Lihua Wang (IGARSS, 2019)

Machine Learning Lifecycle for Earth Science Application: A Practical Insight into Production Deployment. - Manil Maskey; Andrew L. Molthan; Chris Hain; Rahul Ramachandran; Iksha Gurung; Brian Freitag; Jeffrey J. Miller; Muthukumaran Ramasubramanian; Drew Bollinger; Ricardo Mestre; Daniel Cecil (IGARSS, 2019)

Deep feature extraction and its application for hailstorm detection in a large collection of radar images. - Iksha Gurung; Chao Peng 003; Manil Maskey; Rahul Ramachandran (Signal Image Video Process., 2019)

Applying Deep Learning to Hail Detection: A Case Study. - Melinda Pullman; Iksha Gurung; Manil Maskey; Rahul Ramachandran; Sundar A. Christopher (IEEE Trans. Geosci. Remote. Sens., 2019)

Advancing Open Science Through Innovative Data System Solutions: The Joint ESA-NASA Multi-Mission Algorithm and Analysis Platform (MAAP)'s Data Ecosystem. - Kaylin M. Bugbee; Rahul Ramachandran; Manil Maskey; Aimee Barciauskas; Aaron Kaulfus; Dai Hai Ton That; Katrina Virts; Kel N. Markert; Christopher Lynnes (IGARSS, 2020)

Employing Deep Learning to Enable Visual Exploration of Earth Science Events. - Manil Maskey; Rahul Ramachandran; Iksha Gurung; Muthukumaran Ramasubramanian; Brian Freitag; Aaron Kaulfus; Georgios Priftis; Drew Bollinger; Ricardo Mestre; Daniel da Silva (IGARSS, 2020)

Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System. - Manil Maskey; Rahul Ramachandran; Muthukumaran Ramasubramanian; Iksha Gurung; Brian Freitag; Aaron Kaulfus; Drew Bollinger; Daniel J. Cecil; Jeffrey J. Miller (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

The COVID-19 Earth Observation Dashboard: A NASA-ESA-JAXA Collaborative Product. - Anca Anghelea; Yves-Louis Desnos; Manil Maskey; Shin-ichi Sobue; Stephan Meissl (IGARSS, 2021)

COIVD-19 Impact Monitoring of Economic Activities. - Michael Falkowski; Manil Maskey; Shin-ichi Sobue; Gordon Campbell; Gerald W. Bawden; Takeo Tadono (IGARSS, 2021)

Visualizing, Exploring, and Communicating Environmental Effects of COVID-19 Using Earth Observation Dashboard. - Manil Maskey; Michael Falkowski; Kevin Murphy; Olaf Veerman; Ricardo Mestre; Iksha Gurung; Muthukumaran Ramasubramanian; Lillianne Thomas; Zhuangfang Yi; Drew Bollinger; Abigail Seadler; Yvonne Ivey (IGARSS, 2021)

Commercial Smallsat Data Acquisition: Program Update. - Manil Maskey; Alfreda Hall; Kevin Murphy; Compton Tucker; Will McCarty; Aaron Kaulfus (IGARSS, 2021)

Augmenting Data Systems with Prediction based Embeddings. - Rahul Ramachandran; Muthukumaran Ramasubramanian; Iksha Gurung; Carson Davis; Derek Koehl; Manil Maskey; Tsengdar J. Lee (IGARSS, 2021)

Present and Future Data Visibility and Access of International Virtual SAR Constellation. - Shinichi Sobue; Gerald W. Bawden; Raj Kumar; Shiro Kawakita; Manil Maskey; Wasanchai Vongsantivanich; David T. Sandwell (IGARSS, 2021)

Tri-Agency Cooperation to Identify the Impact of COVID-19. - Shinichi Sobue; Yves-Louis Desnos; Kevin Murphy; Anca Anghelea; Manil Maskey; Michael Falkowski (IGARSS, 2021)

The Field Campaign Explorer. - Geoffrey T. Stano; Yuling Wu; Navaneeth R. Selvaraj; Manil Maskey; Ajinkya Kulkarni (IGARSS, 2021)

Graph Convolutional Network-Strengthened Topic Modeling for Scientific Papers. - Jia Zhang 001; Junhao Shen; Beichen Hu; Rahul Ramachandran; Tsengdar J. Lee; Kwo-Sen Kuo; Manil Maskey; Seungwon Lee (SMDS, 2021)

On measuring and employing texture directionality for image classification. - Manil Maskey; Timothy S. Newman (Pattern Anal. Appl., 2021)

Exploring the Use of PlanetScope Data for Particulate Matter Air Quality Research. - Jeanné le Roux; Sundar A. Christopher; Manil Maskey (Remote. Sens., 2021)

Earthdata Pub: An Enterprise-Wide Solution to Submit Data to NASA's Distributed Active Archive Centers. - Brian Ellingson; Eddie Campos; Will Ellett; Taylor Wright; Daine Wright; Kimberly Broughton; Tammy Walker; Manil Maskey; Geoffrey T. Stano (IGARSS, 2022)

Artificial Intelligence Vis-à-Vis Data Systems. - Manil Maskey; Rahul Ramachandran; Iksha Gurung; Muthukumaran Ramasubramanian; Anirudh Koul (IGARSS, 2022)

Language Model for Earth Science: Exploring Potential Downstream Applications as well as Current Challenges. - Rahul Ramachandran; Muthukumaran Ramasubramanian; P. Koirala; Iksha Gurung; Manil Maskey (IGARSS, 2022)

The NASA-ESA-JAXA Earth Observation Dashboard. - Anca Anghelea; Manil Maskey; Shin-ichi Sobue; Naoko Sugita (IGARSS, 2023)

Exploring Blockchain to Support Open Science Practices. - Iksha Gurung; Slesa Adhikari; Abdelhak Marouane; Rajesh Pandey; Satkar Dhakal; Manil Maskey (IGARSS, 2023)

A Framework for Large Scale Semantic Similarity Search on Satellite Imagery. - Muthukumaran Ramasubramanian; Iksha Gurung; Leo Thomas; Kathryn Berger; Soumya Ranjan; Heidi Mok; Sowmya Subramanian; Vitor George; Manil Maskey; Rahul Ramachandran (IGARSS, 2023)

Observing Supraglacial Lakes Using Deep Learning and Planetscope Imagery. - Lillianne Thomas; Slesa Adhikari; Iksha Gurung; Aaron Kaulfus; Muthukumaran Ramasubramanian; Manil Maskey; Rahul Ramachandran (IGARSS, 2023)

Foundation Models for Generalist Geospatial Artificial Intelligence. - Johannes Jakubik; Sujit Roy; C. E. Phillips; Paolo Fraccaro; Denys Godwin; Bianca Zadrozny; Daniela Szwarcman; Carlos Gomes; Gabby Nyirjesy; Blair Edwards; Daiki Kimura; Naomi Simumba; et al. (CoRR, 2023)

Leveraging Citizen Science for Flood Extent Detection using Machine Learning Benchmark Dataset. - Muthukumaran Ramasubramanian; Iksha Gurung; Shubhankar Gahlot; Ronny Hänsch; Andrew L. Molthan; Manil Maskey (CoRR, 2023)

DMLR: Data-centric Machine Learning Research - Past, Present and Future. - Luis Oala; Manil Maskey; Lilith Bat-Leah; Alicia Parrish; Nezihe Merve Gürel; Tzu-Sheng Kuo; Yang Liu 018; Rotem Dror; Danilo Brajovic; Xiaozhe Yao; Max Bartolo; William Gaviria Rojas; et al. (CoRR, 2023)

Croissant: A Metadata Format for ML-Ready Datasets. - Mubashara Akhtar; Omar Benjelloun; Costanza Conforti; Pieter Gijsbers; Joan Giner-Miguelez; Nitisha Jain; Michael Kuchnik; Quentin Lhoest; Pierre Marcenac; Manil Maskey; Peter Mattson; Luis Oala; et al. (DEEM@SIGMOD, 2024)

INDUS: Effective and Efficient Language Models for Scientific Applications. - Bishwaranjan Bhattacharjee; Aashka Trivedi; Masayasu Muraoka; Muthukumaran Ramasubramanian; Takuma Udagawa; Iksha Gurung; Nishan Pantha; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; et al. (EMNLP (Industry Track), 2024)

The Visualization, Exploration, and Data Analysis (VEDA) Platform: A Modular, Open Platform Lowering the Barrier to entry to Cloud Computing. - Brian Freitag; Manil Maskey; Aimee Barciauskas; Jonas Solvsteen; James Colliander; James Munroe (IGARSS, 2024)

Curating AI-Ready Datasets for Equity and Environmental Justice: A Data-Centric AI Case Study. - Paridhi Parajuli; Rajat Shinde; Iksha Gurung; Manil Maskey; Rahul Ramachandran (IGARSS, 2024)

Croissant: A Metadata Format for ML-Ready Datasets. - Mubashara Akhtar; Omar Benjelloun; Costanza Conforti; Luca Foschini 002; Joan Giner-Miguelez; Pieter Gijsbers; Sujata S. Goswami; Nitisha Jain; Michalis Karamousadakis; Michael Kuchnik; Satyapriya Krishna; Sylvain Lesage; et al. (NeurIPS, 2024)

Croissant: A Metadata Format for ML-Ready Datasets. - Mubashara Akhtar; Omar Benjelloun; Costanza Conforti; Joan Giner-Miguelez; Nitisha Jain; Michael Kuchnik; Quentin Lhoest; Pierre Marcenac; Manil Maskey; Peter Mattson; Luis Oala; Pierre Ruyssen; et al. (CoRR, 2024)

Improving Label Error Detection and Elimination with Uncertainty Quantification. - Johannes Jakubik; Michael Vössing; Manil Maskey; Christopher Wölfle; Gerhard Satzger (CoRR, 2024)

INDUS: Effective and Efficient Language Models for Scientific Applications. - Bishwaranjan Bhattacharjee; Aashka Trivedi; Masayasu Muraoka; Muthukumaran Ramasubramanian; Takuma Udagawa; Iksha Gurung; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; Mike Little; et al. (CoRR, 2024)

Machine Learning Global Simulation of Nonlocal Gravity Wave Propagation. - Aman Gupta; Aditi Sheshadri; Sujit Roy; Vishal Gaur; Manil Maskey; Rahul Ramachandran (CoRR, 2024)

A Standardized Machine-readable Dataset Documentation Format for Responsible AI. - Nitisha Jain; Mubashara Akhtar; Joan Giner-Miguelez; Rajat Shinde; Joaquin Vanschoren; Steffen Vogler; Subhra S. Goswami; Yuhan Rao; Tim Santos; Luis Oala; Michalis Karamousadakis; Manil Maskey; et al. (CoRR, 2024)

Prithvi WxC: Foundation Model for Weather and Climate. - Johannes Schmude; Sujit Roy; Will Trojak; Johannes Jakubik; Daniel Salles Civitarese; Shraddha Singh; Julian Kuehnert; Kumar Ankur; Aman Gupta; Christopher Phillips; Romeo Kienzler; Daniela Szwarcman; et al. (CoRR, 2024)

AI Foundation Model for Heliophysics: Applications, Design, and Implementation. - Sujit Roy; Talwinder Singh; Marcus Freitag; Johannes Schmude; Rohit Lal; Dinesha Hegde; Soumya Ranjan; Amy Lin; Vishal Gaur; Etienne Eben Vos; Rinki Ghosal; Badri Narayana Patro; et al. (CoRR, 2024)

Challenges in Guardrailing Large Language Models for Science. - Nishan Pantha; Muthukumaran Ramasubramanian; Iksha Gurung; Manil Maskey; Rahul Ramachandran (CoRR, 2024)

Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications. - Daniela Szwarcman; Sujit Roy; Paolo Fraccaro; Þorsteinn Elí Gíslason; Benedikt Blumenstiel; Rinki Ghosal; Pedro Henrique de Oliveira; João Lucas de Sousa Almeida; Rocco Sedona; Yanghui Kang; Srija Chakraborty; Sizhe Wang; et al. (CoRR, 2024)

WxC-Bench: A Novel Dataset for Weather and Climate Downstream Tasks. - Rajat Shinde; Christopher Phillips; Kumar Ankur; Aman Gupta; Simon Pfreundschuh; Sujit Roy; Sheyenne Kirkland; Vishal Gaur; Amy Lin; Aditi Sheshadri; Udaysankar Nair; Manil Maskey; et al. (CoRR, 2024)

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. - Shaona Ghosh; Heather Frase; Adina Williams; Sarah Luger; Paul Röttger; Fazl Barez; Sean McGregor; Kenneth Fricklas; Mala Kumar; Quentin Feuillade-Montixi; Kurt Bollacker; Felix Friedrich; et al. (CoRR, 2025)

Towards High-Resolution Alignment and Super-Resolution of Multi-Sensor Satellite Imagery. - Philip Wootaek Shin; Vishal Gaur; Rahul Ramachandran; Manil Maskey; Jack Sampson; Vijaykrishnan Narayanan; Sujit Roy (CoRR, 2025)