@article {3340,
	title = {Leading Progress in Digital Terrain Analysis and Modeling},
	journal = {ISPRS International Journal of Geo-Information},
	volume = {8},
	year = {2019},
	pages = {372},
	abstract = {Digital Terrain analysis (DTA) and modeling has been a flourishing interdisciplinary field for decades, with applications in hydrology, geomorphology, soil science, engineering projects and computer sciences. Currently, DTA is characterized by a proliferation of multispectral data from new sensors and platforms, driven by regional and national governments, commercial businesses, and scientific groups, with a general trend towards data with higher spatial, spectral or temporal resolutions. Deriving meaningful and interpretable products from such a large pool of data sources sets new challenges. The articles included in this special issue (SI) focuses on terrain analysis applications that advance the fields of hydrology, geomorphology, soil science, geographic information software (GIS), and computer science. They showcase challenging examples of DTA tackling different subjects or different point of views on the same subject.},
	issn = {2220-9964},
	doi = {10.3390/ijgi8090372},
	url = {https://www.mdpi.com/2220-9964/8/9/372},
	author = {Sofia, Giulia and Eltner, Anette and Nikolopoulos, Efthymios and Crosby, Christopher}
}
@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.}
}
@proceedings {3087,
	title = {Leveraging XSEDE HPC resources to address computational challenges with high-resolution topography data},
	year = {2014},
	address = {Atlanta, GA},
	url = {http://dl.acm.org/citation.cfm?doid=2616498.2616564},
	author = {Choonhan Youn and Viswanath Nandigam and Minh Phan and David Tarboton and Nancy Wilkins-Diehr and Chaitan Baru and Christopher J Crosby and Anand Padmanabhan and Shaowen Wang}
}
@article {3235,
	title = {Lidar and Google Earth: Simplifying Access to High-Resolution Topography Data},
	journal = {Geological Society of America Special Paper 492},
	year = {2012},
	keywords = {google earth, LIDAR, topography},
	doi = {10.1130/2012.2492(03)},
	url = {http://specialpapers.gsapubs.org/content/492/37.abstract},
	author = {Crosby, C.J.}
}
