Clement Atzberger

Ecology · 2005–2018

A researcher in the Science corpus: 12 papers; trusts 40 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Clement Atzberger trusts overall

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

  1. Per Jönsson
  2. Warren B. Cohen
  3. Robert E. Kennedy
  4. Lars Eklundh
  5. Moses Azong Cho
  6. Prasad S. Thenkabail
  7. W. Verhoef
  8. Cédric Bacour
  9. Giles M. Foody
  10. Francisco Javier Gallego

Who trusts Clement Atzberger overall

  1. Jochem Verrelst
  2. Andreas Kamilaris
  3. H. Yao
  4. Valerie C. E. Laurent
  5. Jesús Delegido
  6. Andrew K. Skidmore
  7. Rongjun Qin
  8. Andreas Kartakoullis
  9. Christoffer Axelsson
  10. Ittai Herrmann

Papers from Clement Atzberger's perspective

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

  1. Estimating foliage nitrogen concentration from HYMAP data using continuum, removal analysis
  2. Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode.
  3. Seasonality extraction by function fitting to time-series of satellite sensor data (IEEE Transactions on Geoscience and Remote Sensing)
  4. Reconstructing cloudfree NDVI composites using Fourier analysis of time series
  5. Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. (Journal of plant physiology)
  6. Random Forests
  7. A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method
  8. Opening the archive: How free data has enabled the science and monitoring promise of Landsat
  9. TIMESAT - a program for analyzing time-series of satellite sensor data (Computational Geosciences)
  10. 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)

Their papers