Identification of grassland management practices from leaf area index time series

	Identification of grassland management practices from leaf area index time series
	Dusseux, Pauline 1; Gong, Xing 1,2; Hubert-Moy, Laurence 1; Corpetti, Thomas 1,2
发表期刊	JOURNAL OF APPLIED REMOTE SENSING
	2014-09-02
卷号	8
文章类型	Article
摘要	The main objective of this study is to identify grassland management practices using time series of remote sensing images. The accelerating agricultural intensification has strongly reduced grassland surfaces in some areas, generating important changes in their management and affecting environmental and socio-economic systems. Therefore, the identification of grassland management practices in farming systems is a key issue for sustainable agriculture. To this end, the leaf area index (LAI) estimated from remote sensing images was used since its temporal evolution is informative about farming practices. We evaluate the performances of two common classification algorithms using time profiles of LAI derived from simulated data and high spatial resolution satellite images. We show that they exhibit limited performances, mainly because they rely on criteria that are not suited for the comparison of time series. We then suggest the use of more advanced classification tools that work in a transformed space designed by a kernel function. We show that a kernel based on time warping measurements which are suited for the comparison of time series, perform better than classical ones based on Gaussian functions. This is a promising result for the analyzing of the future SENTINEL data that will be embedded in many time series. (C) 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
关键词	Grasslands High Spatial Resolution Images Leaf Area Index Time Series Temporal Matching Criteria Time Warping
WOS标题词	Science & Technology ; Life Sciences & Biomedicine ; Technology
关键词[WOS]	CYCLOPES GLOBAL PRODUCTS ; SUPPORT VECTOR MACHINES ; VEGETATION INDEXES ; LAND-COVER ; IMAGE CLASSIFICATION ; SPECTRAL RESPONSE ; SATELLITE IMAGERY ; LAI ; MODEL ; MODIS
收录类别	SCI
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000350631000001
引用统计	被引频次：17[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/8021
专题	多模态人工智能系统全国重点实验室_多媒体计算
作者单位	1.Univ Rennes 2, LETG Rennes COSTEL, OSU, UMR CNRS 6554, F-35043 Rennes, France 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Dusseux, Pauline,Gong, Xing,Hubert-Moy, Laurence,et al. Identification of grassland management practices from leaf area index time series[J]. JOURNAL OF APPLIED REMOTE SENSING,2014,8.
APA	Dusseux, Pauline,Gong, Xing,Hubert-Moy, Laurence,&Corpetti, Thomas.(2014).Identification of grassland management practices from leaf area index time series.JOURNAL OF APPLIED REMOTE SENSING,8.
MLA	Dusseux, Pauline,et al."Identification of grassland management practices from leaf area index time series".JOURNAL OF APPLIED REMOTE SENSING 8(2014).