Database Reference
In-Depth Information
Chapter 15
EARTH SCIENCE APPLICATIONS OF
SENSOR DATA
Anuj Karpatne, James Faghmous, Jaya Kawale, Luke Styles, Mace
Blank, Varun Mithal, Xi Chen, Ankush Khandelwal, Shyam Boriah,
Karsten Steinhaeuser, Michael Steinbach, Vipin Kumar
Department of Computer Science and Engineering
University of Minnesota
{
anuj,faghmous,kawale,styles,blank,mithal,chen,ankush,sboriah,ksteinha,steinbac,kumar
}
@cs.umn.edu
Stefan Liess
Department of Soil, Water and Climate
University of Minnesota
liess@umn.edu
Abstract
Advances in earth observation technologies have led to the acquisition of
vast volumes of accurate, timely and reliable environmental data which
encompass a multitude of information about the land, ocean and at-
mosphere of the planet. Earth science sensor datasets capture multiple
facets of information about natural processes and human activities that
shape the physical landscape and environmental quality of our planet,
and thus, offer an opportunity to monitor and understand the diverse
phenomena affecting earth's complex system. The monitoring, analysis
and understanding of these rich sensor datasets is thus of prime impor-
tance for the ecient planning and management of critical resources,
since the societal costs of mitigation or adaptation decisions for nat-
ural or human-induced adverse events are significant. Hence, a thor-
ough understanding of earth science sensor datasets has a direct impact
on a range of societally relevant issues. Moreover, earth science sen-
sor datasets possess unique domain-specific properties that distinguish
them from sensor datasets used in other domains, and thus demand the
need for novel tools and techniques to be developed for their analysis,
adhering to their characteristic issues and challenges.
Keywords:
Remote Sensing, Earth Science, Data Mining
