output
20032020
most citedA Methodology to Derive Global Maps of Leaf Traits Using Remote Sensing and Climate Data

240 citations

5 papers

stat.AP2020★ 240 cited

A Methodology to Derive Global Maps of Leaf Traits Using Remote Sensing and Climate Data

Alvaro Moreno-Martinez, Gustau Camps-Valls, Jens Kattge +19

This paper introduces a modular processing chain to derive global high-resolution maps of leaf traits. In particular, we present global maps at 500 m resolution of specific leaf ar…

astro-ph2006★ 57 cited

Luminous superclusters: remnants from inflation

J. Einasto, M. Einasto, E. Saar +10

We derive the luminosity and multiplicity functions of superclusters compiled for the 2dF Galaxy Redshift Survey, the Sloan Digital Sky Survey (Data Release 4), and for three sampl…

astro-ph2006★ 65 cited

Superclusters of galaxies from the 2dF redshift survey. II. Comparison with simulations

J. Einasto, M. Einasto, E. Saar +10

We investigate properties of superclusters of galaxies found on the basis of the 2dF Galaxy Redshift Survey, and compare them with properties of superclusters from the Millennium S…

astro-ph2006★ 104 cited

Superclusters of galaxies from the 2dF redshift survey. I. The catalogue

J. Einasto, M. Einasto, E. Tago +10

We use the 2dF Galaxy Redshift Survey data to compile catalogues of superclusters for the Northern and Southern regions of the 2dFGRS, altogether 543 superclusters at redshifts 0.0…

astro-ph2003★ 34 cited

Las Campanas Loose Groups in the Supercluster-Void Network

M. Einasto, J. Jaaniste, J. Einasto +3

We study the spatial distribution of loose groups from the Las Campanas Redshift Survey, comparing it with the supercluster-void network delineated by rich clusters of galaxies. We…