Probabilistic description of vegetation ecotones using remote sensing

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Probabilistic description of vegetation ecotones using remote sensing. / de Klerk, H. M.; Burgess, Neil David; Visser, V.

In: Ecological Informatics, Vol. 46, 2018, p. 125-132.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

de Klerk, HM, Burgess, ND & Visser, V 2018, 'Probabilistic description of vegetation ecotones using remote sensing', Ecological Informatics, vol. 46, pp. 125-132. https://doi.org/10.1016/j.ecoinf.2018.06.001

APA

de Klerk, H. M., Burgess, N. D., & Visser, V. (2018). Probabilistic description of vegetation ecotones using remote sensing. Ecological Informatics, 46, 125-132. https://doi.org/10.1016/j.ecoinf.2018.06.001

Vancouver

de Klerk HM, Burgess ND, Visser V. Probabilistic description of vegetation ecotones using remote sensing. Ecological Informatics. 2018;46:125-132. https://doi.org/10.1016/j.ecoinf.2018.06.001

Author

de Klerk, H. M. ; Burgess, Neil David ; Visser, V. / Probabilistic description of vegetation ecotones using remote sensing. In: Ecological Informatics. 2018 ; Vol. 46. pp. 125-132.

Bibtex

@article{4752bae5b184437fadc685a9f60c752b,
title = "Probabilistic description of vegetation ecotones using remote sensing",
keywords = "Ecotone, Vegetation transition, Remote sensing, Probabilistic classifier",
author = "{de Klerk}, {H. M.} and Burgess, {Neil David} and V. Visser",
year = "2018",
doi = "10.1016/j.ecoinf.2018.06.001",
language = "English",
volume = "46",
pages = "125--132",
journal = "Ecological Informatics",
issn = "1574-9541",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Probabilistic description of vegetation ecotones using remote sensing

AU - de Klerk, H. M.

AU - Burgess, Neil David

AU - Visser, V.

PY - 2018

Y1 - 2018

KW - Ecotone

KW - Vegetation transition

KW - Remote sensing

KW - Probabilistic classifier

U2 - 10.1016/j.ecoinf.2018.06.001

DO - 10.1016/j.ecoinf.2018.06.001

M3 - Journal article

VL - 46

SP - 125

EP - 132

JO - Ecological Informatics

JF - Ecological Informatics

SN - 1574-9541

ER -

ID: 201147340