A methodology to derive global maps of leaf traits using remote sensing and climate data Article

Moreno-Martinez, Alvaro, Camps-Valls, Gustau, Kattge, Jens et al. (2018). A methodology to derive global maps of leaf traits using remote sensing and climate data . REMOTE SENSING OF ENVIRONMENT, 218 69-88. 10.1016/j.rse.2018.09.006

Open Access International Collaboration

cited authors

  • Moreno-Martinez, Alvaro; Camps-Valls, Gustau; Kattge, Jens; Robinson, Nathaniel; Reichstein, Markus; van Bodegom, Peter; Kramer, Koen; Cornelissen, J Hans C; Reich, Peter; Bahn, Michael; Niinemets, Ulo; Penuelas, Josep; Craine, Joseph M; Cerabolini, Bruno EL; Minden, Vanessa; Laughlin, Daniel C; Sack, Lawren; Allred, Brady; Baraloto, Christopher; Byun, Chaeho; Soudzilovskaia, Nadejda A; Running, Steve W

sustainable development goals

publication date

  • December 1, 2018

published in

keywords

  • AREA
  • BIODIVERSITY
  • Climate
  • DIVERSITY
  • Environmental Sciences
  • Environmental Sciences & Ecology
  • IMAGING SPECTROSCOPY
  • Imaging Science & Photographic Technology
  • Landsat
  • Life Sciences & Biomedicine
  • MODEL
  • MODIS
  • MULTIPLE-REGRESSION
  • Machine learning
  • PLANT FUNCTIONAL TYPES
  • Plant ecology
  • Plant traits
  • RANDOM FORESTS
  • REFLECTANCE
  • Random forests
  • Remote Sensing
  • Remote sensing
  • Science & Technology
  • Technology
  • VEGETATION

Digital Object Identifier (DOI)

publisher

  • ELSEVIER SCIENCE INC

start page

  • 69

end page

  • 88

volume

  • 218