Philip E. Dennison

Ecology · 2003–2021

A researcher in the Science corpus: 9 papers; trusts 10 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Philip E. Dennison trusts overall

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

  1. Dar A. Roberts
  2. Jose M. P. Nascimento
  3. Gregory P. Asner
  4. H. Keselman
  5. Kerry Halligan
  6. R. Fisher
  7. Ben Somers
  8. Kara N. Youngentob

Who trusts Philip E. Dennison overall

  1. Keely L. Roth
  2. Dar A. Roberts
  3. José Luis Silván-Cárdenas
  4. Kara N. Youngentob
  5. Le Wang
  6. Susan L. Ustin
  7. Kerry Halligan
  8. Michael Alonzo
  9. Seth H. Peterson
  10. Stephane Jacquemoud

Papers from Philip E. Dennison's perspective

Ordered by how strongly the researchers Philip E. Dennison trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Endmember bundles: a new approach to incorporating endmember variability into spectral mixture analysis (IEEE Transactions on Geoscience and Remote Sensing)
  2. Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales
  3. A comparison of error metrics and constraints for multiple endmember spectral mixture analysis and spectral angle mapper
  4. Comparison of airborne hyperspectral data and EO-1 Hyperion for mineral mapping (IEEE Transactions on Geoscience and Remote Sensing)
  5. Remote sensing of plant functional types. (New Phytologist)
  6. A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data (IEEE Transactions on Geoscience and Remote Sensing)
  7. Endmember selection for multiple endmember spectral mixture analysis using endmember average RMSE
  8. A weighted linear spectral mixture analysis approach to address endmember variability in agricultural production systems
  9. Vertex component analysis: a fast algorithm to unmix hyperspectral data (IEEE Transactions on Geoscience and Remote Sensing)
  10. Commercially Important Trees as Invasive Aliens – Towards Spatially Explicit Risk Assessment at a National Scale (Biological Invasions)

Their papers