Software, Data and Modelling News: Geospatial visualization of global satellite images with Vis-EROS

Authors:
G. D. Standart;K. R. Stulken;X. Zhang;Z. L. Zong
Affiliations:
Department of Mathematics and Computer Science, South Dakota School of Mines and Technology, Rapid City, SD 57701-8647, USA;Department of Mathematics and Computer Science, South Dakota School of Mines and Technology, Rapid City, SD 57701-8647, USA;Joint Global Change Research Institute, Pacific Northwest National Laboratory, USA;Department of Mathematics and Computer Science, South Dakota School of Mines and Technology, Rapid City, SD 57701-8647, USA
Venue:
Environmental Modelling & Software
Year:
2011

Citing 6
Cited 0

Hotmap: Looking at Geographic Attention

IEEE Transactions on Visualization and Computer Graphics
Interactive Visual Exploration of a Large Spatio-temporal Dataset: Reflections on a Geovisualization Mashup.

IEEE Transactions on Visualization and Computer Graphics
Geospatial Visualization using Google Maps: A Case Study on Conference Presenters

IMSCCS '07 Proceedings of the Second International Multi-Symposiums on Computer and Computational Sciences
An integrated system for publishing environmental observations data

Environmental Modelling & Software
Web cartography with open standards - A solution to cartographic challenges of environmental management

Environmental Modelling & Software
Short communication: Ten guidelines for effective data visualization in scientific publications

Environmental Modelling & Software

Quantified Score

Hi-index	0.00

Visualization

Abstract

Geospatial data visualization is significantly changing the way we view spatial data and discover information. On the one hand, a large number of spatial data, which carry extremely valuable information, are generated on daily basis. On the other hand, these data are not well utilized due to the lack of free and easily used data visualization tools. This paper describes a way of visualizing massive spatial data at no cost by utilizing publically available visualization tools like Google Earth. We illustrate our methods by visualizing a million global download requests for satellite images maintained by the Earth Resources Observation and Science (EROS) Center of U.S. Geological Survey (USGS).