NDLI: Temporal kernels for the identification of grassland management using time series of high spatial resolution satellite images

Content Provider	IEEE Xplore Digital Library
Author	Dusseux, P. Corpetti, T. Hubert-Moy, L.
Copyright Year	2013
Description	Author affiliation: LETG Rennes COSTEL, Univ. Rennes 2, Rennes, France (Dusseux, P.; Corpetti, T.; Hubert-Moy, L.)
Abstract	Grasslands, and more precisely agricultural practices associated with grasslands have an important impact on water and soil quality and biodiversity. In many regions, associated with agriculture intensification, a decrease of grasslands and change in their management can be observed during the last half century. Thus, determination of grassland management types represents an important approach for the quality and preservation of the environment. In this context, the objective of this study is to identify agricultural practices on grasslands from a time series of high spatial resolution images. Based on training samples, the classification of the LAI temporal profiles extracted from satellite images was performed using 1-standard classification technique as KNN and 2- an advanced ones using temporal kernels based on Dynamic Time Warping. Results show that use of an advanced classification technique improves of 20% the quality of grassland management identification.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	3258
Ending Page	3260
File Size	1088957
Page Count	3
File Format	PDF
ISBN	9781479911141
ISSN	21536996
DOI	10.1109/IGARSS.2013.6723522
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Satellites Abstracts Training Image resolution Earth Remote sensing Europe DTW Grassland Agricultural practices Leaf Area Index (LAI) Classification
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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