[GRASS-user] Fwd: [OSGeo-Discuss] Request for Abstracts: Fall 2009 AGU Session IN18: Open Source Remote Sensing Software and Applications for Earth and Environmental Science

Markus Neteler neteler at osgeo.org
Wed Aug 12 18:16:49 EDT 2009


FYI - perfect to showcase GRASS in research!

---------- Forwarded message ----------
From:  <Pilant.Drew at epamail.epa.gov>
Date: Wed, Aug 5, 2009 at 9:11 PM
Subject: [OSGeo-Discuss] Request for Abstracts: Fall 2009 AGU Session
IN18: Open Source Remote Sensing Software and Applications for Earth
and Environmental Science
To: discuss at lists.osgeo.org



Dear Colleagues and Open Source Remote Sensing practitioners and developers,

Please consider submitting an abstract for the Fall American
Geophysical Union meeting December 14-18, 2009 in San Francisco:

Session IN18: Open Source Remote Sensing Software and Applications for
Earth and Environmental Science

Please note: abstracts are due online on September 3, 2009.

Abstract Submissions:
http://www.agu.org/meetings/fm09/program/abstract_submissions.php

Link to AGU Session:
http://www.agu.org/meetings/fm09/program/scientific_session_search.php?show=detail&sessid=604

Abstract:
Satellite and airborne remote sensing imagery is integral to
geospatial research in earth and environmental sciences. The synoptic
bird’s eye view helps us see relationships among landscape elements in
their spatial context, the continuum of nature and human
infrastructure. There are increasing amounts of satellite and aerial
remote sensing imagery of the earth available for free and low cost
(e.g., Landsat; USGS and USDA aerial photography), via convenient
online data portals and virtual earths. However, for some user
communities, licensing costs for commercial image processing and
analysis software may present barriers to scientific use of free
remote sensing imagery. The goal of this session is to present
examples of application and development of free and open source remote
sensing and image processing software for use in the earth and
environmental sciences. Of particular interest are abstract
submissions highlighting open source software applied to the
following: high resolution imagery (0.5-5 m pixels) for detailed
landscape mapping, LIDAR, plugin image processing algorithms for
virtual earths, operational web-based remote sensing, and web
processing services (WPS).

Conveners:
Drew Pilant, US Environmental Protection Agency; Peter Fox, Rensselaer
Polytechnic Institute

Thank you for your kind consideration. Please forward as appropriate.

Sincerely,

Drew Pilant, Ph.D.
Remote Sensing Research Scientist
US Environmental Protection Agency
Office of Research and Development
Landscape Characterization Branch
tel:  919.541.0648
fax: 919.541.9420
pilant.drew at epa.gov
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