@article{tateosian_mitasova_thakur_hardin_russ_blundell_2014, title={Visualizations of coastal terrain time series}, volume={13}, ISSN={["1473-8724"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-84906534191&partnerID=MN8TOARS}, DOI={10.1177/1473871613487086}, abstractNote={ In coastal regions, water, wind, gravitation, vegetation, and human activity continuously alter landscape surfaces. Visualizations are important for understanding coastal landscape evolution and its driving processes. Visualizing change in highly dynamic coastal terrain poses a formidable challenge; the combination of natural and anthropogenic forces leads to cycles of retreat and recovery and complex morphology of landforms. In recent years, repeated high-resolution laser terrain scans have generated a time series of point cloud data that represent landscapes at snapshots in time, including the impacts of major storms. In this article, we build on existing approaches for visualizing spatial–temporal data to create a collection of perceptual visualizations to support coastal terrain evolution analysis. We extract terrain features and track their migration; we derive temporal summary maps and heat graphs that quantify the pattern of elevation change and sediment redistribution and use the space–time cube concept to create visualizations of terrain evolution. The space–time cube approach allows us to represent shoreline evolution as an isosurface extracted from a voxel model created by stacking time series of digital elevation models. We illustrate our approach on a series of Light Detection and Ranging surveys of sandy North Carolina barrier islands. Our results reveal terrain changes of shoreline and dune ridge migration, dune breaches and overwash, the formation of new dune ridges, and the construction and destruction of homes, changes which are due to erosion and accretion, hurricanes, and human activities. These events are all visualized within their geographic and temporal contexts. }, number={3}, journal={INFORMATION VISUALIZATION}, author={Tateosian, Laura and Mitasova, Helena and Thakur, Sidharth and Hardin, Eric and Russ, Emily and Blundell, Bruce}, year={2014}, month={Jul}, pages={266–282} }
 @article{thakur_tateosian_mitasova_hardin_overton_2013, title={SUMMARY VISUALIZATIONS FOR COASTAL SPATIAL-TEMPORAL DYNAMICS}, volume={3}, ISSN={["2152-5099"]}, DOI={10.1615/int.j.uncertaintyquantification.2012003969}, abstractNote={Digital scans of dynamic terrains such as coastal regions are now being gathered at high spatial and temporal resolution. Although standard tools based on geographic information systems (GIS) are indispensable for analyzing geospatial data, they have limited support to display time-dependent changes in data and information such as statistical distributions and uncertainty in data. We present a set of techniques for visually summarizing the dynamics of coastal dunes. We visualize summary statistics of important data attributes and risk or vulnerability indices as functions of both spatial and temporal dimensions in our data and represent uncertainty in the data set. We apply standard techniques, the space time cube and clustering, in novel ways to the domain of geomorphology. We combine surface-mapping and imagery with summary visualizations to retain important geographical context in the visualizations and reduce clutter due to direct plotting of statistical data in displays of geospatial information. We also address some issues pertaining to visualization of summary statistics for geographical regions at varying scales. We demonstrate visualization tools on time series of elevation models from the Outer Banks of North Carolina and observe temporal-spatial trends therein.}, number={3}, journal={INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION}, author={Thakur, Sidharth and Tateosian, Laura and Mitasova, Helena and Hardin, Eric and Overton, Margery}, year={2013}, pages={241–253} }
 @article{hardin_kurum_mitasova_overton_2012, title={Least cost path extraction of topographic features for storm impact scale mapping}, volume={28}, number={4}, journal={Journal of Coastal Research}, author={Hardin, E. and Kurum, M. O. and Mitasova, H. and Overton, M. F.}, year={2012}, pages={970–978} }
 @article{starek_mitasova_hardin_weaver_overton_harmon_2011, title={Modeling and analysis of landscape evolution using airborne, terrestrial, and laboratory laser scanning}, volume={7}, ISSN={["1553-040X"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-84858779393&partnerID=MN8TOARS}, DOI={10.1130/ges00699.1}, abstractNote={Current laser scanning (Lidar, light detection and ranging) technologies span a wide range of survey extent and resolutions, from regional airborne Lidar mapping and terrestrial Lidar field surveys to laboratory systems utilizing indoor three-dimensional (3D) laser scanners. Proliferation in Lidar technology and data collection enables new approaches for monitoring and analysis of landscape evolution. For example, repeat Lidar surveys that generate a time series of point cloud data provide an opportunity to transition from traditional, static representations of topography to terrain abstraction as a 3D dynamic layer. Three case studies are presented to illustrate novel techniques for landscape evolution analysis based on time series of Lidar data: (1) application of multiyear airborne Lidar surveys to a study of a dynamic coastal region, where the change is driven by eolian sediment transport, wave-induced beach erosion, and human intervention; (2) monitoring of vegetation growth and the impact of landscape structure on overland flow in an agricultural field using terrestrial laser scanning; and (3) investigation of landscape design impacts on overland water flow and other physical processes using a tangible geospatial modeling system. The presented studies demonstrate new insights into landscape evolution in different environments that can be gained from Lidar scanning spanning 1.0–0.001 m resolutions with geographic information system analysis capabilities.}, number={6}, journal={GEOSPHERE}, author={Starek, Michael J. and Mitasova, Helena and Hardin, Eric and Weaver, Katherine and Overton, Margery and Harmon, Russell S.}, year={2011}, month={Dec}, pages={1340–1356} }