Comparing the suitability of classified land cover data and remote sensing variables for modeling distribution patterns of plants

Cord, Anna and Klein, Doris and Mora, Franz and Dech, Stefan (2014) Comparing the suitability of classified land cover data and remote sensing variables for modeling distribution patterns of plants. Ecological Modelling, 272, pp. 129-140. Elsevier. doi: 10.1016/j.ecolmodel.2013.09.011. ISSN 0304-3800.

Full text not available from this repository.

Official URL: http://www.sciencedirect.com/science/article/pii/S0304380013004407

Item URL in elib:

https://elib.dlr.de/85037/

Document Type:

Article

Title:

Comparing the suitability of classified land cover data and remote sensing variables for modeling distribution patterns of plants

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Cord, Anna	Helmholtz Centre for Environment Research – UFZ	UNSPECIFIED	UNSPECIFIED
Klein, Doris	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Mora, Franz	CONABIO	UNSPECIFIED	UNSPECIFIED
Dech, Stefan	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED

Date:

2014

Journal or Publication Title:

Ecological Modelling

Refereed publication:

Yes

Open Access:

Gold Open Access:

In SCOPUS:

Yes

In ISI Web of Science:

Yes

Volume:

272

DOI:

10.1016/j.ecolmodel.2013.09.011

Page Range:

pp. 129-140

Publisher:

Elsevier

ISSN:

0304-3800

Status:

Published

Keywords:

Land cover classification, Mexico, MODIS, Species distribution model, Time series, Vegetation phenology

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Earth Observation

DLR - Research area:

Raumfahrt

DLR - Program:

R EO - Earth Observation

DLR - Research theme (Project):

R - Geoscientific remote sensing and GIS methods

Location:

Oberpfaffenhofen

Institutes and Institutions:

German Remote Sensing Data Center

Deposited By:

Wöhrl, Monika

Deposited On:

18 Nov 2013 21:22

Last Modified:

14 Jun 2023 16:35

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