@article {3399,
	title = {Measuring success for a future vision: Defining impact in science gateways/virtual research environments},
	journal = {Concurrency and Computation: Practice and Experience},
	volume = {n/a},
	year = {2020},
	abstract = {Summary Scholars worldwide leverage science gateways/virtual research environments (VREs) for a wide variety of research and education endeavors spanning diverse scientific fields. Evaluating the value of a given science gateway/VRE to its constituent community is critical in obtaining the financial and human resources necessary to sustain operations and increase adoption in the user community. In this article, we feature a variety of exemplar science gateways/VREs and detail how they define impact in terms of, for example, their purpose, operation principles, and size of user base. Further, the exemplars recognize that their science gateways/VREs will continuously evolve with technological advancements and standards in cloud computing platforms, web service architectures, data management tools and cybersecurity. Correspondingly, we present a number of technology advances that could be incorporated in next-generation science gateways/VREs to enhance their scope and scale of their operations for greater success/impact. The exemplars are selected from owners of science gateways in the Science Gateways Community Institute (SGCI) clientele in the United States, and from the owners of VREs in the International Virtual Research Environment Interest Group (VRE-IG) of the Research Data Alliance. Thus, community-driven best practices and technology advances are compiled from diverse expert groups with an international perspective to envisage futuristic science gateway/VRE innovations.},
	keywords = {futuristic vision, measuring impact, science gateways, success metrics, virtual research environments},
	doi = {https://doi.org/10.1002/cpe.6099},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.6099},
	author = {Calyam, Prasad and Wilkins-Diehr, Nancy and Miller, Mark and Brookes, Emre H. and Arora, Ritu and Chourasia, Amit and Jennewein, Douglas M. and Nandigam, Viswanath and Drew LaMar, M. and Cleveland, Sean B. and Newman, Greg and Wang, Shaowen and Zaslavsky, Ilya and Cianfrocco, Michael A. and Ellett, Kevin and Tarboton, David and Jeffery, Keith G. and Zhao, Zhiming and Gonz{\'a}lez-Aranda, Juan and Perri, Mark J. and Tucker, Greg and Candela, Leonardo and Kiss, Tamas and Gesing, Sandra}
}
@article {3372,
	title = {OpenAltimetry-rapid analysis and visualization of Spaceborne altimeter data},
	journal = {Earth Science Informatics},
	year = {2020},
	pages = {1{\textendash}10},
	author = {Khalsa, Siri Jodha S and Borsa, Adrian and Nandigam, Viswanath and Phan, Minh and Lin, Kai and Crosby, Christopher and Fricker, Helen and Baru, Chaitan and Lopez, Luis}
}
@article {3354,
	title = {Emergent Challenges for Science sUAS Data Management: Fairness through Community Engagement and Best Practices Development},
	journal = {Remote Sensing},
	volume = {11},
	year = {2019},
	month = {jul},
	pages = {1797},
	doi = {10.3390/rs11151797},
	url = {https://doi.org/10.3390\%2Frs11151797},
	author = {Jane Wyngaard and Lindsay Barbieri and Andrea Thomer and Josip Adams and Don Sullivan and Christopher Crosby and Cynthia Parr and Jens Klump and Sudhir Raj Shrestha and Tom Bell}
}
@article {3247,
	title = {Applications of high-resolution topography in Earth science education},
	journal = {Geosphere},
	volume = {Vol.13},
	year = {2017},
	month = {10/2017},
	keywords = {education, LIDAR},
	doi = {10.1130/GES01236.1},
	url = {https://doi.org/10.1130/GES01236.1},
	author = {Sarah E. Robinson and Wendy Bohon and Emily J. Kleber and J Ram{\'o}n Arrowsmith and Christopher J. Crosby}
}
@article {3262,
	title = {Analyzing high resolution topography for advancing the understanding of mass and energy transfer through landscapes: A review},
	journal = {Earth-Science Reviews},
	volume = {148},
	year = {2015},
	pages = {174 - 193},
	keywords = {Bathymetry, Change detection, Filtering, Geomorphic features, IfSAR, InSAR, LIDAR, Point cloud, Structure from Motion},
	issn = {0012-8252},
	doi = {https://doi.org/10.1016/j.earscirev.2015.05.012},
	url = {http://www.sciencedirect.com/science/article/pii/S0012825215300015},
	author = {Paola Passalacqua and Patrick Belmont and Dennis M. Staley and Jeffrey D. Simley and J Ram{\'o}n Arrowsmith and Collin A. Bode and Christopher Crosby and Stephen B. DeLong and Nancy F. Glenn and Sara A. Kelly and Dimitri Lague and Harish Sangireddy and Keelin Schaffrath and David G. Tarboton and Thad Wasklewicz and Joseph M. Wheaton}
}
@article {3261,
	title = {Laser vision: lidar as a transformative tool to advance critical zone science},
	journal = {Hydrology and Earth System Sciences},
	volume = {19},
	year = {2015},
	pages = {2881{\textendash}2897},
	doi = {10.5194/hess-19-2881-2015},
	url = {https://www.hydrol-earth-syst-sci.net/19/2881/2015/},
	author = {Harpold, A. A. and Marshall, J. A. and Lyon, S. W. and Barnhart, T. B. and Fisher, B. A. and Donovan, M. and Brubaker, K. M. and Crosby, C. J. and Glenn, N. F. and Glennie, C. L. and Kirchner, P. B. and Lam, N. and Mankoff, K. D. and McCreight, J. L. and Molotch, N. P. and Musselman, K. N. and Pelletier, J. and Russo, T. and Sangireddy, H. and Sj{\"o}berg, Y. and Swetnam, T. and West, N.}
}
@inbook {3091,
	title = {Online access and processing of LiDAR topography data},
	booktitle = {Geoinformatics},
	year = {2011},
	pages = {251{\textendash}265},
	publisher = {Cambridge University Press},
	organization = {Cambridge University Press},
	isbn = {9780511976308},
	url = {http://dx.doi.org/10.1017/CBO9780511976308.017},
	author = {Christopher J Crosby and Ram{\'o}n J Arrowsmith and Viswanath Nandigam and Chaitan Baru},
	editor = {G. Randy Keller and Chaitan Baru}
}
@conference {3093,
	title = {OpenTopography: A Services Oriented Architecture for Community Access to LIDAR Topography},
	booktitle = {Proceedings of the 2Nd International Conference on Computing for Geospatial Research \& Applications},
	year = {2011},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	keywords = {cyberinfrastructure, LIDAR, SOA},
	isbn = {978-1-4503-0681-2},
	doi = {10.1145/1999320.1999327},
	url = {http://doi.acm.org/10.1145/1999320.1999327},
	author = {Sriram Krishnan and Christopher J Crosby and Viswanath Nandigam and Phan, Minh and Cowart, Charles and Chaitan Baru and Ram{\'o}n J Arrowsmith}
}
@inbook {3092,
	title = {Scientific workflows for the geosciences: An emerging approach to building integrated data analysis systems},
	booktitle = {Geoinformatics},
	year = {2011},
	pages = {237{\textendash}250},
	publisher = {Cambridge University Press},
	organization = {Cambridge University Press},
	isbn = {9780511976308},
	url = {http://dx.doi.org/10.1017/CBO9780511976308.016},
	author = {Ilkay Altintas and Daniel Crawl and Christopher J Crosby and Peter Cornillon},
	editor = {G. Randy Keller and Chaitan Baru}
}
@article {3094,
	title = {Evaluation of MapReduce for Gridding LIDAR Data},
	journal = {2013 IEEE 5th International Conference on Cloud Computing Technology and Science},
	year = {2010},
	pages = {33-40},
	isbn = {978-0-7695-4302-4},
	doi = {http://doi.ieeecomputersociety.org/10.1109/CloudCom.2010.34},
	author = {Sriram Krishnan and Chaitan Baru and Christopher J Crosby}
}
