Announcement: Open Source Remote Sensing for Environmental Mapping and Analysis at 20

[Drew Pilant]

Dear Colleagues,

We are pleased to announce the following session for the Fall 2010
American Geophysical Union Meeting December 13-17:

Session Earth and Space Science Informatics IN10: Open Source Remote
Sensing for Environmental Mapping and Analysis
(See below for session description.)

Please consider submitting an abstract and forwarding this
announcement to potentially interested colleagues.

Thank you, and we hope to see you at AGU!

Kind regards,

Drew Pilant, Ph.D.
US Environmental Protection Agency
pilant.drew @ epa.gov
919-541-0648

Karl Benedict, Ph.D.
Director, Earth Data Analysis Center, University of New
Mexico
kbene @ edac.unm.edu
505-277-3622 x234

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AGU Meeting information and online Abstract Submission:
http://www.agu.org/meetings/fm10/

Please note: Abstract deadline is September 2, 2010.

IN10 Description
Remote sensing analysis provides views of the environment necessary
for sound stewardship. There is a great need for free or low-cost,
easy-to-use remote sensing software tools to help those who are not
geospatial professionals make better use of image resources to enhance
environmental mapping and analysis. The goal of this session is to
highlight open source remote sensing tools and applications in
environmental analysis. How are open source remote sensing tools being
used in environmental analysis? Are remote sensing mapping algorithms
incorporated in virtual earths to expand their analytical capability?
How can we use Volunteered Geographic Information provided by informed
citizens to validate and enhance remotely sensed information?

[Unregistered]

Open Source Remote Sensing for Environmental Mapping and Analysis at 20

It represents an attempt to build a complete index of Open Source which is related to software projects. The effort has some way to go, especially for projects in languages other than English. Remote sensing is the small- or large-scale acquisition of information of an object or phenomenon, by the use of either recording or real-time sensing device.