CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Identification of grassland management practices from leaf area index time series
Dusseux, Pauline1; Gong, Xing1,2; Hubert-Moy, Laurence1; Corpetti, Thomas1,2
Source PublicationJOURNAL OF APPLIED REMOTE SENSING
2014-09-02
Volume8
SubtypeArticle
AbstractThe 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)
KeywordGrasslands High Spatial Resolution Images Leaf Area Index Time Series Temporal Matching Criteria Time Warping
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Technology
WOS KeywordCYCLOPES GLOBAL PRODUCTS ; SUPPORT VECTOR MACHINES ; VEGETATION INDEXES ; LAND-COVER ; IMAGE CLASSIFICATION ; SPECTRAL RESPONSE ; SATELLITE IMAGERY ; LAI ; MODEL ; MODIS
Indexed BySCI
Language英语
WOS Research AreaEnvironmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000350631000001
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8021
Collection模式识别国家重点实验室_多媒体计算与图形学
Affiliation1.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
Recommended Citation
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).
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