RETRACTED:Remote Sensing Techniques for Accurate and Consistent Detection of Small-Scale Changes in a Tropical Forest: Exploring Details of Forest Cover Dynamics Using Multi-Temporal Landat Imagery - Natural Resources

NR > Vol.6 No.12, December 2015

Volume 6, Issue 12 (December 2015)

ISSN Print: 2158-706X ISSN Online: 2158-7086

Google-based Impact Factor: 0.89 Citations h5-index & Ranking

RETRACTED:Remote Sensing Techniques for Accurate and Consistent Detection of Small-Scale Changes in a Tropical Forest: Exploring Details of Forest Cover Dynamics Using Multi-Temporal Landat Imagery ()

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DOI: 10.4236/nr.2015.612056 3,810 Downloads 5,024 Views Citations

Author(s)

Gudina L. Feyisa^1*, Zerihun Kebebew², Kiflu H. Ali², Hirko D. Kanke², Andy Nelson³

Affiliation(s)

¹Department of Botany and Plant Science, University of California, Riverside, USA.
²Department of Natural Resource Management, Jimma University, Jimma, Ethiopia.
³Faculty of Geo-Information Science and Earth Observation (ITC) of the University of Twente, Enschede, Netherlands.

ABSTRACT

Short Retraction Notice

This article has been retracted according to COPE's Retraction Guidelines.The authors requested withdrawal from journal Natural Resources due to institutional publication policy of some of the authors. The Editorial Board would like to extend its sincere apologies for any inconvenience this retraction may have caused.

The full retraction notice in PDF is preceding the original paper, which is marked "RETRACTED".

KEYWORDS

Accuracy, Classification, Forest Cover Change, Landsat, Remote Sensing, Land Use, Support Vector Machine

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