A Comparative Study Of Algorithms For Land Cover Change

Ecosystem-related observations from remote sensors on satellites offer huge potential for understanding the location and extent of global land cover change. This paper presents a comparative study of three time series based algorithms for detecting changes in land cover. The techniques are evaluated quantitatively using forest fire ground truth from the state of California for 2000

• Type: Journal
• Year: 2010
• Where: CIDU
• Authors: Shyam Boriah, Varun Mithal, Ashish Garg, Vipin Kumar, Michael Steinbach, Christopher Potter, Steven A. Klooster
• Keywords: CIDU 2010, Huge Potential, Land Cover, Land Cover Change, Machine Learning