14/01/2016
http://www.webmap.unibe.ch/
18.-21.1.16
Workshop Especially the geometric resolution of earth observation satellites increased continuously over the last decades.
Ikonos, launched in 1999, marks the date when high resolution satellite imagery became available wordwide. Since then the performance of satellites increased significantly and data have become readily available at affordable cost. Imagery from this new generation of satellites opened up new research perspectives for many fields in science and liberal arts. The workshop on high resolution satellite
14/01/2016
http://www.webmap.unibe.ch/
18.-21.1.16
29/07/2014
DEM Workshop in Bern! Oct, 27-30
Geoinformation in the third dimension | Zgeneration Workshop 2014 This workshop is intended to foster the interdisciplinary and intramural knowledge transfer between young scientists in the field of 3-D terrain modelling. New technologies such as UAV (unmanned aerial vehicle) or satellite-based missions (i.e. TanDEM-X) enable to generate constantly higher resolved…
New Workshop in Bern about Sharing Geospatial Data
https://www.facebook.com/Geosharing.Bern
Sharing Geospatial Data
Workshop: Sharing Geospatial Data - The key to successful interdisciplinary and international collaboration
Oct 31 - Nov 2, 2013
09/10/2012
Main building - Hauptgebäude (HG)
The final programme is online:http://www.hi-res.unibe.ch/files/Programme.pdf
Opening lecture by Jesse Casana (Univ. of Arkansas)
In many parts of the world, urban expansion, agricultural intensification and reservoir construction over the past several decades have radically transformed the landscape and resulted in the widespread destruction of archaeological sites and features. These changes mean that modern satellite imagery—even at very high spatial resolution—reveals on a portion of the archaeological record that was extant a few decades ago.
Fortunately, declassified, Cold War-era satellite images known as CORONA, the codename for the United States’ first intelligence satellite program, offer high-resolution, global stereo imagery dating from 1960-1972. Because CORONA preserves a picture of the landscape prior to much recent development, these images constitute a truly unique resource for archaeological prospection and land use/cover change analysis. However, unprocessed CORONA images contain extreme spatial distortions caused by a cross-path panoramic scanning system, and the absence of detailed orientation and camera information makes correction of these errors challenging, resulting in small-scale, piecemeal application of this resource.
Following a discussion of the history of the CORONA program, this talk will overview our research team’s development of new, efficient orthorectification methods for KH-4A and KH-4B CORONA imagery. We have now used these methods to correct more than 1500 images covering the Middle East and surrounding regions, and we have created a freely-accessible, online database for viewing and distribution of images. This regional-scale, high-resolution image archive reveals a remarkable record of landscape transformation in the Middle East as well as tens of thousands of previously undocumented archaeological sites and features such as roads, canals and field systems. Our ongoing research is now deploying this regional-scale CORONA coverage of the Middle East to facilitate the discovery of archaeological landscapes and the documentation of environmental change, beyond survey boundaries and across national borders.
22/08/2012
*** Call for Paper ***
http://www.hi-res.unibe.ch/files/Call.pdf
Workshop on Saturday, 10th of November 2012 with Jan Böttger (GAF): High Resolution Satellite Data: availability and market review
http://www.hi-res.unibe.ch/files/Boettger.pdf
8th November, Opening lecture with Jesse Casana, University of Arkansas:
Lost Landscapes Revealed: Declassified CORONA Satellite Imagery in Archaeological and Geosciences Research
http://corona.cast.uark.edu/index.html
Workshop on Saturday, 10th of November 2012 with Stefan Erasmi (Universität Göttingen): Processing high resolution satellite data with ArcGIS 10