Cloud Computing, GeoDesign, and ArcGIS 10 Top the List at the ESRI User Conference

Registration now open for the 2010 ESRI International User Conference

The ESRI International User Conference (ESRI UC) is a weeklong event that energizes, educates, and inspires the geographic information system (GIS) community. The conference connects industry peers, thought leaders, and technology experts on the topics that matter most—from cloud computing and GeoDesign to the release of ArcGIS 10. Attendees have access to cutting-edge GIS technology, expert advice, demonstrations, and training.

The 30th annual ESRI UC is scheduled for July 12–16, 2010, at the San Diego Convention Center in California. The registration deadline is May 21, 2010, and special rate hotel rooms can be booked for a limited time. More conference information, including participation and a customizable letter of attendance justification, is available at

“GIS users continue to inspire us with the powerful work they do to make a real difference in the world, and the ESRI UC is their forum for fostering creativity and sharing successful ideas,” said ESRI president Jack Dangermond. “The ESRI UC provides everything users need, whether it’s help with a project or understanding what the latest GIS technology can do for their organization.”

Advantages of attending include

  • More than 70 hours of learning, training, and networking opportunities focusing on topics such as GeoDesign, cloud computing, Web 2.0, and green government
  • The latest news on ArcGIS 10, including modern interfaces, mapmaking time-savers, easier data creation and management, enhanced editing and sharing capabilities, and new ways to perform analysis and modeling
  • Opportunities to connect with peers, thought leaders, and ESRI staff and business partners eager to share their guidance and motivation
  • Exposure to practical and proven applications and methods through 600 user presentations, 275 technical workshops, and 100 Special Interest Group (SIG) or Regional User Group (RUG) meetings

The ESRI UC offers a comprehensive agenda including user presentations, technical workshops, and GIS concept and industry-focused sessions. Highlights include the Plenary Session, with engaging keynote speakers and a special youth presentation; a Map Gallery collection of illustrative maps from more than 100 countries; and more than 300 sponsors in the extensive exhibit hall.

Attendees can enrich their conference experience by playing an active part in it. User videos, screen shots, and images are woven into the plenary presentation. The conference Map Gallery and Virtual Map Gallery highlight paper and digital maps created by users. Lightning Talks—new to the ESRI UC last year—are innovative, informal presentations given in five minutes. Plus, attendees can host SIG and RUG meetings, ideal for collaborating with peers of the same interest, industry, or region.

For more information

  • Visit
  • Follow ESRI on Twitter: @ESRIUC.
  • Visit ESRI UC on Facebook.
  • Read the UC Insider blog.

[Source: ESRi press release]

Classifying Historical Remotely Sensed Imagery Using a Tempo-spatial Feature Evolution (T-SFE) Model

ISPRS Journal of Photogrammetry and Remote Sensing, Volume 65, Issue 2, March 2010, Pages 182-190

Yichun Xie, Zongyao Sha, Yongfei Bai

“Large and growing archives of orbital imagery of the earth’s surface collected over the past 40 years provide an important resource for documenting past and current land cover and environmental changes. However uses of these data are limited by the lack of coincident ground information with which either to establish discrete land cover classes or to assess the accuracy of their identification. Herein is proposed an easy-to-use model, the Tempo-Spatial Feature Evolution (T-SFE) model, designed to improve land cover classification using historical remotely sensed data and ground cover maps obtained at later times. This model intersects (1) a map of spectral classes (S-classes) of an initial time derived from the standard unsupervised ISODATA classifier with (2) a reference map of ground cover types (G-types) of a subsequent time to generate (3) a target map of overlaid patches of S-classes and G-types. This model employs the rules of Count Majority Evaluation, and Subtotal Area Evaluation that are formulated on the basis of spatial feature evolution over time to quantify spatial evolutions between the S-classes and G-types on the target map. This model then applies these quantities to assign G-types to S-classes to classify the historical images. The model is illustrated with the classification of grassland vegetation types for a basin in Inner Mongolia using 1985 Landsat TM data and 2004 vegetation map. The classification accuracy was assessed through two tests: a small set of ground sampling data in 1985, and an extracted vegetation map from the national vegetation cover data (NVCD) over the study area in 1988. Our results show that a 1985 image classification was achieved using this method with an overall accuracy of 80.6%. However, the classification accuracy depends on a proper calibration of several parameters used in the model.”