Roshanak Darvishzadeh

Ecology · 2008–2020

A researcher in the Science corpus: 7 papers; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Roshanak Darvishzadeh trusts overall

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

  1. Moses Azong Cho
  2. Andrew K. Skidmore
  3. Martin Schlerf
  4. Alin Dobra
  5. Clement Atzberger
  6. Peter J. Green
  7. Junichi Imanishi
  8. Joachim Hill
  9. Anatoly A. Gitelson
  10. Warren B. Cohen

Who trusts Roshanak Darvishzadeh overall

  1. Jochem Verrelst
  2. Andrew K. Skidmore
  3. Jesús Delegido
  4. Abel Ramoelo
  5. Haidi Abdullah
  6. Lei Li
  7. Christoffer Axelsson
  8. David Deery
  9. Clement Atzberger
  10. Ittai Herrmann

Papers from Roshanak Darvishzadeh's perspective

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

  1. A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method
  2. Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode.
  3. Retrieval of leaf area index in different vegetation types using high resolution satellite data
  4. Estimating foliage nitrogen concentration from HYMAP data using continuum, removal analysis
  5. Hyperspectral imaging for nondestructive determination of some quality attributes for strawberry
  6. Comparing regression methods in estimation of biophysical properties of forest stands from two different inventories using laser scanner data
  7. Estimation of green grass/herb biomass from airborne hyperspectral imagery using spectral indices and partial least squares regression (International Journal of Applied Earth Observation and Geoinformation)
  8. Modified Jack-knife estimation of parameter uncertainty in bilinear modelling by partial least squares regression (PLSR)
  9. A comparative analysis of broadband and narrowband derived vegetation indices in predicting LAI and CCD of a cotton canopy
  10. Using Leaf Color Charts to Estimate Leaf Nitrogen Status of Rice

Their papers