Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1109/TGRS.2007.908878 |
A method to classify ecoclimatic arid and semiarid zones in circum-Saharan Africa using monthly dynamics of multiple indicators | |
Leibovici, Didier; Quillevere, Gilbert; Desconnets, Jean-Christophe | |
通讯作者 | Leibovici, Didier |
来源期刊 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING |
ISSN | 0196-2892 |
EISSN | 1558-0644 |
出版年 | 2007 |
卷号 | 45期号:12页码:4000-4007 |
英文摘要 | Within the context of monitoring desertification using a network of observatories, one faces the problem of the representativeness of biophysical, ecological, and socioeconomic variations. Ideally, one would choose at least one, observatory for each homogeneous zone using indicators that capture these variations. Here, we focused only on ecoclimatic aspects defined by the global physical and climatic conditions characterizing and and semiarid zones. The challenging aim of this paper is to spatially identify the different patterns of ecoclimatic variations. For most of the indicators of and or semiarid zones, temporal characteristics and interactions through a typical year are observed. In order to take into account these dynamics in the clustering approach, one must use a methodology that captures interactions between spatial location, time of measurement, and indicator measured. For this purpose, a multiway analysis, generalizing principal component analysis, has been used on internationally recognized ecoclimatic indicators that characterize and and semiarid zones. Most of these indicators were used nondynamically or qualitatively to approve and certify observatories of the Reseau d’Observatoires pour le Suivi Ecologique a Long Termes network. A direct application of this method would be to assess homogeneity and validity of ecoclimatic characteristics for each observatory comparative to its regional location within its country or within the whole circum-Saharan region. |
英文关键词 | arid zone classification desertification ecoclimatic ecoregion multiway analysis pattern recognition principal tensor analysis k-modes (PTAk) semiarid zone tensor decomposition |
类型 | Article ; Proceedings Paper |
语种 | 英语 |
国家 | England ; France |
收录类别 | SCI-E ; CPCI-S |
WOS记录号 | WOS:000251339400014 |
WOS关键词 | CLASSIFICATION |
WOS类目 | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
来源机构 | French National Research Institute for Sustainable Development |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/154525 |
作者单位 | (1)Univ Nottingham, Ctr Geospatial Sci, Nottingham NG7 2RD, England;(2)Inst Res Dev, F-34093 Montpellier, France |
推荐引用方式 GB/T 7714 | Leibovici, Didier,Quillevere, Gilbert,Desconnets, Jean-Christophe. A method to classify ecoclimatic arid and semiarid zones in circum-Saharan Africa using monthly dynamics of multiple indicators[J]. French National Research Institute for Sustainable Development,2007,45(12):4000-4007. |
APA | Leibovici, Didier,Quillevere, Gilbert,&Desconnets, Jean-Christophe.(2007).A method to classify ecoclimatic arid and semiarid zones in circum-Saharan Africa using monthly dynamics of multiple indicators.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,45(12),4000-4007. |
MLA | Leibovici, Didier,et al."A method to classify ecoclimatic arid and semiarid zones in circum-Saharan Africa using monthly dynamics of multiple indicators".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 45.12(2007):4000-4007. |
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