Identification of grassland management practices from leaf area index time series
文献类型：期刊论文
| 作者 | Dusseux, Pauline1; Gong, Xing1,2; Hubert-Moy, Laurence1; Corpetti, Thomas1,2 |
| 刊名 | JOURNAL OF APPLIED REMOTE SENSING
 |
| 出版日期 | 2014-09-02 |
| 卷号 | 8 |
| 关键词 | grasslands high spatial resolution images leaf area index time series temporal matching criteria time warping |
| 英文摘要 | 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) |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine ; Technology |
| 类目[WOS] | Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology |
| 研究领域[WOS] | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic 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记录号 | WOS:000350631000001 |
| 公开日期 | 2015-09-22 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8021]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队 |
| 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). |
入库方式： OAI收割
来源：自动化研究所
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