Frédéric Baret

Ecology · 2003–2021

A researcher in the Science corpus: 18 papers; trusts 6 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Frédéric Baret trusts overall

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

  1. Per Jönsson
  2. Cédric Bacour
  3. Lars Eklundh
  4. Marie Weiss
  5. Beatriz Martínez
  6. Pauline Stenberg
  7. Jennifer N. Hird
  8. John A. Nelder
  9. Nina Golyandina
  10. Nathalie Bréda

Who trusts Frédéric Baret overall

  1. Jochem Verrelst
  2. Aleixandre Verger
  3. Zhenhai Li
  4. Xiuliang Jin
  5. Z. Malenovsky
  6. Jesús Delegido
  7. Sylvain Jay
  8. Gustau Camps-Valls
  9. Valerie C. E. Laurent
  10. Guerric le Maire

Papers from Frédéric Baret's perspective

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

  1. Seasonality extraction by function fitting to time-series of satellite sensor data (IEEE Transactions on Geoscience and Remote Sensing)
  2. An improved strategy for regression of biophysical variables and Landsat ETM+ data.
  3. TIMESAT - a program for analyzing time-series of satellite sensor data (Computational Geosciences)
  4. Parametric (modified least squares) and non-parametric (Theil–Sen) linear regressions for predicting biophysical parameters in the presence of measurement errors
  5. A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter
  6. Reduced simple ratio better than NDVI for estimating LAI in Finnish pine and spruce stands
  7. Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data : Principles and validation
  8. Crop identification using harmonic analysis of time-series AVHRR NDVI data
  9. Noise reduction of NDVI time series: An empirical comparison of selected techniques
  10. Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics

Their papers