First, we apologize for cross-posting.
We bring your attention to a new session "B046: Multisensor Long Term Land
Surface Data Records" at the American Geophysical Union 2013 Fall Meeting,
December 9-13, 2013, San Francisco , CA (http://fallmeeting.agu.org/2013/).
More info below.
Please consider supporting this by submitting an abstract (deadline is August
6th, 2013), sharing this info, and forwarding this invitation to your
colleagues and friends.
B046. Multisensor Long Term Land Surface Data Records
Description:
Continuous collection of global satellite imagery over the last four decades
has contributed to the creation of a unique and long term satellite data record
from Landsat, AVHRR, MODIS, SPOT-VEGETATION, and other sensors. Combined, these
records account now for more than 40 years of continuous observations, and have
become an invaluable tool for many environmental and global change related
studies. This session will bring together data producers and data users and
encourages contribution along these themes: 1) Methods and Algorithms for data
generation, 2) Data characterization, and 3) Data use for research and
application. We particularly encourage contribution to the theme of data use
and value of these records to Earth science.
Section/Focus Group:
Biogeosciences (B)
Co-Sponsors:
Earth and Space Science Informatics (IN)
Global Environmental Change (GC)
SWIRLs:
Characterizing Uncertainty
Conveners:
• Kamel Didan, University of Arizona, [email protected]
• Tomoaki Miura, University of Hawaii at Manoa, [email protected]
• Wim Van Leeuwen, University of Arizona, [email protected]
Description:
Continuous collection of global satellite imagery over the last four decades
has contributed to the creation of a unique and long term satellite data record
from Landsat, AVHRR, MODIS, SPOT-VEGETATION, and other sensors. Combined, these
records account now for more than 40 years of continuous observations, and have
become an invaluable tool for many environmental and global change related
studies. This session will bring together data producers and data users and
encourages contribution along these themes: 1) Methods and Algorithms for data
generation, 2) Data characterization, and 3) Data use for research and
application. We particularly encourage contribution to the theme of data use
and value of these records to Earth science.
Index Terms:
[0430] BIOGEOSCIENCES / Computational methods and data processing
[0480] BIOGEOSCIENCES / Remote sensing
[1600] GLOBAL CHANGE
[1910] INFORMATICS / Data assimilation, integration and fusion
Kamel Didan, Ph.D.
The University of Arizona
http://vip.arizona.edu
