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An improved logistic method for detecting spring vegetation phenology in grasslands from MODIS EVI time-series data
Cao, RY (Cao, Ruyin)1; Chen, J (Chen, Jin)2,3; Shen, MG (Shen, Miaogen)4; Tang, YH (Tang, Yanhong)1; Chen, J
Source PublicationAGRICULTURAL AND FOREST METEOROLOGY
2015
Volume200Issue:0Pages:9-20
DOI10.1016/j.agrformet.2014.09.009
Subject Area普通生物学
WOS IDWOS:000347582300002
Language英语
Indexed BySCI
Cooperation Status国际
Citation statistics
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/7393
Collection图书馆
Corresponding AuthorChen, J
Affiliation1.Natl Inst Environm Studies, Tsukuba, Ibaraki 3058506, Japan
2.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
3.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China
4.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Cao, RY ,Chen, J ,Shen, MG ,et al. An improved logistic method for detecting spring vegetation phenology in grasslands from MODIS EVI time-series data[J]. AGRICULTURAL AND FOREST METEOROLOGY,2015,200(0):9-20.
APA Cao, RY ,Chen, J ,Shen, MG ,Tang, YH ,&Chen, J.(2015).An improved logistic method for detecting spring vegetation phenology in grasslands from MODIS EVI time-series data.AGRICULTURAL AND FOREST METEOROLOGY,200(0),9-20.
MLA Cao, RY ,et al."An improved logistic method for detecting spring vegetation phenology in grasslands from MODIS EVI time-series data".AGRICULTURAL AND FOREST METEOROLOGY 200.0(2015):9-20.
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