2015 Digital Topographic Analysis Workshop
Persistent link for this collection
The Workshop on Digital Topographic Analysis: LiDAR, Satellite Imagery, Terrestrial Laser Scanning, and GIS was a 2-day workshop held May 14-15 2015, with a focus on using satellite imagery, LiDAR data, and terrestrial laser scanning (TLS), to create high resolution topographic maps for research in the geosciences, archaeology, geography, forestry, and many other disciplines. This workshop was run as a partnership between U-Spatial, the Polar Geospatial Center, the Heritage Collaborative, and the Departments of Earth Science and Anthropology.
Search within 2015 Digital Topographic Analysis Workshop
Browse
Recent Submissions
Item Non-Invasive Archaeological Site Assessment: A Combined Approach Using LiDAR and Sub-Surface Geophysical Survey(2015-05-14) Maki, DavidThe recent availability of light detection and ranging (LiDAR) data has revolutionized archaeological research in Minnesota and beyond. LiDAR allows us to identify archaeological resources over large spatial extents and recognize features that are difficult to perceive on the ground. LiDAR elevation data may also be combined with geophysical survey methods to better understand feature geometry and subsurface integrity. This presentation will introduce advanced LiDAR data processing and visualization methods for archaeological research, as well as discuss how LiDAR data may be combined with geophysical data to map archaeological features in three dimensions. These topics will be explored through presentation of a number of regional case studies.Item Geomorphic Change Detection and Site Documentation with Terrestrial Laser Scanning(2015-05-14) Gran, KarenTerrestrial laser scanning (TLS), also known as ground-based lidar, provides a way to rapidly collect high-resolution topographic data of a surface while minimizing disturbance. While aerial lidar data provides spatial resolutions in the 1-3 m range, TLS can provide data at cm-scale or even mm-scale resolution over a more limited area. This talk will focus on the basic workflow associated with collection and analysis of TLS data, the range of instruments available, and potential uses in archaeology. Examples cover a range of applications from site documentation to using repeat TLS scans to detect and quantify geomorphic change on a surface over time.Item From GPS and Google Maps to Spatial Computing(2015-05-14) Shekhar, ShashiFrom virtual globes (e.g., Google Maps) to global positioning system, spatial computing has transformed society via pervasive services (e.g., Uber and other location-based services), ubiquitous systems (e.g., geographical information system, spatial database management system), and pioneering scientific methods (e.g., spatial statistics). These accomplishment are just the tip of the iceberg and there is a strong potential for a compelling array of new breakthroughs such as spatial big data, localization indoors and underground, time-travel (and depth) in virtual globes, persistent monitoring of environmental hazards, accurate spatio-temporal predictive models, etc. For example, a McKinsey report projected an annual $600B saving from leveraging spatial big data (e.g., smart-phone trajectories) for novel eco-routing services to reduce wasted fuel, greenhouse gas emission and pollution exposure during unnecessary waits at traffic lights and in congestion. However, many fundamental research questions need to be investigated to realize the transformative potential. For example, how can spatial big data (e.g., smart-phone trajectories) be mined without violating privacy ? How can spatial statistical and machine learning algorithms be generalized to model geographic concepts (e.g., context, hot-spots, hot-features, doughnut-hole patterns), address spatio-temporal challenges (e.g., auto-correlation, non-stationarity, heterogeneity, multi-scale) and scale up to spatial big data ? How can eco-routing address the new challenges, e.g., waits at traffic-signals violate the sub-path optimality assumption in popular A* and Dijktra's algorithms? This presentation shares a perspective on the societal accomplishments, opportunities, and research needs in spatial computing based on a recent community report following the Computing Community Consortium workshop titled From GPS and Virtual Globes to Spatial Computing -- 2020 held at the National Academies.Item Land Classification using Image Objects and LiDAR(2015-05-14) Knight, JosephThis seminar will provide an overview of land classification applications of objectbased image analysis and lidar. The goal will be to demonstrate the practical value of incorporating these techniques into mapping efforts in various disciplines. Emphasis will be placed on the advantages to be gained from integrating multiple data types, such as optical imagery and the new Minnesota statewide lidar dataset, into a classification workflow. Recent research results will be used to illustrate current and potential application areas.Item Introduction and "LiDAR in Minnesota: Where We Are and How We Got Here"(2015-05-14) Nelson, JoelMinnesota is a leader in geospatial information, and one of few states in the U.S. with complete LiDAR coverage. We'll go through some LiDAR examples for our state, along with applications of LiDAR nationwide, discussing how LiDAR is rapidly changing a number of disciplines.Item Land Classification Using Image Objects and Lidar (Presentation Slides)(2015-05) Knight, JoeItem From GPS and Google Maps to Spatial Computing (Presentation Slides)(2015-05) Shekhar, ShashiItem LIDAR In Minnesota: Where We Are and How We Got Here (presentation slides)(2015-05) Nelson, JoelItem Program for the 2015 "Workshop on Digital Topographic Analysis"(2015-05-18) Monnier, Gilliane; Feinberg, Joshua; Hayes, Katherine