Satellite-derived vegetation indices contribute significantly to the prediction of epiphyllous liverworts

Yanbin Jiang; Tiejun Wang; C.A.J.M. de Bie; A.K. Skidmore; Xuehua Liu; Shanshan Song; Li Zhang; Jian Wang; Xiaoming Shao

doi:10.1016/j.ecolind.2013.10.024

Satellite-derived vegetation indices contribute significantly to the prediction of epiphyllous liverworts

Yanbin Jiang
, Tiejun Wang
, C.A.J.M. de Bie
, A.K. Skidmore
, Xuehua Liu
, Shanshan Song
, Li Zhang
, Jian Wang
, Xiaoming Shao

Research output: Contribution to journal › Article › Academic › peer-review

43 Citations (Scopus)

12 Downloads (Pure)

Original language	English
Pages (from-to)	72-80
Journal	Ecological indicators
Volume	38
DOIs	https://doi.org/10.1016/j.ecolind.2013.10.024
Publication status	Published - 2014

Keywords

Species distribution model
MaxEnt
Climate
Vegetation
Macro-habitat
China

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.ecolind.2013.10.024

Cite this

@article{dfcf8ea06f0f4827a1f429f9e6f384c9,

title = "Satellite-derived vegetation indices contribute significantly to the prediction of epiphyllous liverworts",

keywords = "Species distribution model, MaxEnt, Climate, Vegetation, Macro-habitat, China",

author = "Yanbin Jiang and Tiejun Wang and \{de Bie\}, C.A.J.M. and A.K. Skidmore and Xuehua Liu and Shanshan Song and Li Zhang and Jian Wang and Xiaoming Shao",

year = "2014",

doi = "10.1016/j.ecolind.2013.10.024",

language = "English",

volume = "38",

pages = "72--80",

journal = "Ecological indicators",

issn = "1470-160X",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Satellite-derived vegetation indices contribute significantly to the prediction of epiphyllous liverworts

AU - Jiang, Yanbin

AU - Wang, Tiejun

AU - de Bie, C.A.J.M.

AU - Skidmore, A.K.

AU - Liu, Xuehua

AU - Song, Shanshan

AU - Zhang, Li

AU - Wang, Jian

AU - Shao, Xiaoming

PY - 2014

Y1 - 2014

KW - Species distribution model

KW - MaxEnt

KW - Climate

KW - Vegetation

KW - Macro-habitat

KW - China

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2014/isi/wang_sat.pdf

U2 - 10.1016/j.ecolind.2013.10.024

DO - 10.1016/j.ecolind.2013.10.024

M3 - Article

SN - 1470-160X

VL - 38

SP - 72

EP - 80

JO - Ecological indicators

JF - Ecological indicators

ER -

Satellite-derived vegetation indices contribute significantly to the prediction of epiphyllous liverworts

Keywords

UN SDGs

Access to Document

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