中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An improved logistic method for detecting spring vegetation phenology in grasslands from MODIS EVI time-series data

文献类型:期刊论文

作者Cao, RY (Cao, Ruyin)1; Chen, J (Chen, Jin)2,3; Shen, MG (Shen, Miaogen)4; Tang, YH (Tang, Yanhong)1
刊名AGRICULTURAL AND FOREST METEOROLOGY
出版日期2015
卷号200期号:0页码:9-20
通讯作者Chen, J
合作状况国际
学科主题普通生物学
收录类别SCI
语种英语
WOS记录号WOS:000347582300002
源URL[http://ir.itpcas.ac.cn/handle/131C11/7393]  
专题青藏高原研究所_图书馆
作者单位1.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
推荐引用方式
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 .(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.

入库方式: OAI收割

来源:青藏高原研究所

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