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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Rangeland Analysis Platform - vegetation cover v2 2018

Authors: Allred, Brady; Jones, Matthew;

Rangeland Analysis Platform - vegetation cover v2 2018

Abstract

Rangeland Analysis Platform vegetation cover v2 2018 These data represent rangeland cover estimates determined by Allred et al. (2021) and as accessible on the Rangeland Analysis Platform (https://rangelands.app). Values are estimates of aerial cover for the following rangeland functional groups: Band 1 - annual forb and grass Band 2 - bare ground Band 3 - litter Band 4 - perennial forb and grass Band 5 - shrub Band 6 - tree No Data value = 255 Although these data were produced across a broad region, they are primarily intended for rangeland ecosystems. Cover estimates may not be suitable in other ecosystems, e.g., forests, agricultural lands. Uncertainty values are not included. Data are in WGS84 Geographic Coordinate System (EPSG:4326); spatial resolution is approximately 30m. Please attribute these data to: Allred, B.W., B.T. Bestelmeyer, C.S. Boyd, C. Brown, K.W. Davies, M.C. Duniway, L.M. Ellsworth, T.A. Erickson, S.D. Fuhlendorf, T.V. Griffiths, V. Jansen, M.O. Jones, J. Karl, A. Knight, J.D. Maestas, J.J. Maynard, S.E. McCord, D.E. Naugle, H.D. Starns, D. Twidwell, and D.R. Uden. 2021. Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty. Methods in ecology and evolution. http://dx.doi.org/10.1111/2041-210x.13564

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average