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DOI10.1002/ldr.3338
Remotely sensed albedo allows the identification of two ecosystem states along aridity gradients in Africa
Zhao, Yanchuang; Wang, Xinyuan; Novillo, Carlos J.; Arrogante-Funes, Patricia; Vazquez-Jimenez, Rene; Berdugo, Miguel; Maestre, Fernando T.
发表日期2019-07-30
ISSN1085-3278
EISSN1099-145X
卷号30期号:12页码:1502-1515
英文摘要Empirical verification of multiple states in drylands is scarce, impeding the design of indicators to anticipate the onset of desertification. Remote sensing-derived indicators of ecosystem states are gaining new ground due to the possibilities they bring
关键词albedoclimate changedryland degradationmultiple statesremote sensing
学科领域Environmental Sciences;Soil Science
语种英语
WOS记录号WOS:000475471300009
来源期刊LAND DEGRADATION & DEVELOPMENT
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/84076
作者单位Henan Univ Technol, Coll Informat Sci & Engn, 100 Lianhua Rd, Zhengzhou 450001, Henan, Peoples R China
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GB/T 7714
Zhao, Yanchuang,Wang, Xinyuan,Novillo, Carlos J.,et al. Remotely sensed albedo allows the identification of two ecosystem states along aridity gradients in Africa[J],2019,30(12):1502-1515.
APA Zhao, Yanchuang.,Wang, Xinyuan.,Novillo, Carlos J..,Arrogante-Funes, Patricia.,Vazquez-Jimenez, Rene.,...&Maestre, Fernando T..(2019).Remotely sensed albedo allows the identification of two ecosystem states along aridity gradients in Africa.LAND DEGRADATION & DEVELOPMENT,30(12),1502-1515.
MLA Zhao, Yanchuang,et al."Remotely sensed albedo allows the identification of two ecosystem states along aridity gradients in Africa".LAND DEGRADATION & DEVELOPMENT 30.12(2019):1502-1515.
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