Dar A. Roberts

Ecology · 2003–2021

A researcher in the Science corpus: 15 papers; trusts 26 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Dar A. Roberts trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Philip E. Dennison
  2. Marti J. Anderson
  3. Matthew L. Clark
  4. R. Fisher
  5. Ruiliang Pu
  6. Brian McArdle
  7. Tomas Brandtberg
  8. Michele Dalponte
  9. Keely L. Roth
  10. Kerry Halligan

Who trusts Dar A. Roberts overall

  1. Keely L. Roth
  2. Michael Alonzo
  3. Philip E. Dennison
  4. Gregory P. Asner
  5. Kate S. He
  6. Dennis D. Baldocchi
  7. José Luis Silván-Cárdenas
  8. Ruiliang Pu
  9. Michele Dalponte
  10. Duccio Rocchini

Papers from Dar A. Roberts's perspective

Ordered by how strongly the researchers Dar A. Roberts trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales
  2. Endmember bundles: a new approach to incorporating endmember variability into spectral mixture analysis (IEEE Transactions on Geoscience and Remote Sensing)
  3. A Coefficient of Agreement for Nominal Scales
  4. Remote sensing of plant functional types. (New Phytologist)
  5. A comparison of error metrics and constraints for multiple endmember spectral mixture analysis and spectral angle mapper
  6. Endmember selection for multiple endmember spectral mixture analysis using endmember average RMSE
  7. Comparison of airborne hyperspectral data and EO-1 Hyperion for mineral mapping (IEEE Transactions on Geoscience and Remote Sensing)
  8. Hyperspectral discrimination of tropical dry forest lianas and trees: Comparative data reduction approaches at the leaf and canopy levels
  9. MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets
  10. Semi-automatic classification of tree species in different forest ecosystems by spectral and geometric variables derived from Airborne Digital Sensor (ADS40) and RC30 data

Their papers