A model-free time series segmentation approach for land cover change detection

Ashish Garg, Lydia Manikonda, Shashank Kumar, Vikrant Krishna, Shyam Boriah, Michael Steinbach, Vipin Kumar, Durga Toshniwal, Christopher Potter, Steven Klooster

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Ecosystem-related observations from remote sensors on satellites offer significant possibility for understanding the location and extent of global land cover change. In this paper, we focus on time series segmentation techniques in the context of land cover change detection. We propose a model-based time series segmentation algorithm inspired by an event detection framework proposed in the field of statistics. We also present a novel model-free change detection algorithm for detecting land cover change that is computationally simple, efficient, non-parametric and takes into account the inherent variability present in the remote sensing data. A key advantage of this method is that it can be applied globally for a variety of vegetation without having to identify the right model for specific vegetation types. We evaluate the change detection capacity of the proposed techniques on both synthetic and MODIS EVI data sets. We illustrate the importance and relative ability of different algorithms to account for the natural variation in the EVI data set.

Original languageEnglish (US)
Title of host publicationProceedings of the 2011 Conference on Intelligent Data Understanding, CIDU 2011
Pages144-158
Number of pages15
StatePublished - Dec 1 2011
EventNASA Conference on Intelligent Data Understanding, CIDU 2011 - Mountain View, CA, United States
Duration: Oct 19 2011Oct 21 2011

Other

OtherNASA Conference on Intelligent Data Understanding, CIDU 2011
CountryUnited States
CityMountain View, CA
Period10/19/1110/21/11

Fingerprint Dive into the research topics of 'A model-free time series segmentation approach for land cover change detection'. Together they form a unique fingerprint.

  • Cite this

    Garg, A., Manikonda, L., Kumar, S., Krishna, V., Boriah, S., Steinbach, M., Kumar, V., Toshniwal, D., Potter, C., & Klooster, S. (2011). A model-free time series segmentation approach for land cover change detection. In Proceedings of the 2011 Conference on Intelligent Data Understanding, CIDU 2011 (pp. 144-158)