2008 LandCoverChangeDetectionaCaseSt

• (Boriah et al., 2008) ⇒ Shyam Boriah, Vipin Kumar, Michael Steinbach, Christopher Potter, and Steven Klooster. (2008). “Land Cover Change Detection: A Case Study.” In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2008). doi:10.1145/1401890.1401993

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• http://scholar.google.com/scholar?q=%22Land+cover+change+detection%3A+a+case+study%22+2008
• http://portal.acm.org/citation.cfm?doid=1401890.1401993&preflayout=flat#citedby

Quotes

Abstract

The study of land cover change is an important problem in the Earth Science domain because of its impacts on local climate, radiation balance, biogeochemistry, hydrology, and the diversity and abundance of terrestrial species. Most well-known change detection techniques from statistics, signal processing and control theory are not well-suited for the massive high-dimensional spatio-temporal data sets from Earth Science due to limitations such as high computational complexity and the inability to take advantage of seasonality and spatio-temporal autocorrelation inherent in Earth Science data. In our work, we seek to address these challenges with new change detection techniques that are based on data mining approaches. Specifically, in this paper we have performed a case study for a new change detection technique for the land cover change detection problem. We study land cover change in the state of California, focusing on the San Francisco Bay Area and perform an extended study on the entire state. We also perform a comparative evaluation on forests in the entire state. These results demonstrate the utility of data mining techniques for the land cover change detection problem.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2008 LandCoverChangeDetectionaCaseSt	Vipin Kumar Michael Steinbach Shyam Boriah Christopher Potter Steven Klooster			Land Cover Change Detection: A Case Study				10.1145/1401890.1401993