Aleixandre Verger

Ecology · 2012–2017

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aleixandre Verger trusts overall

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

  1. Frédéric Baret
  2. Per Jönsson
  3. Andrés Viña
  4. Valerie C. E. Laurent
  5. Wouter A. Dorigo
  6. Jochem Verrelst
  7. Eija Honkavaara
  8. Marie Weiss
  9. Lars Eklundh

Who trusts Aleixandre Verger overall

  1. Samuel C. Hassler
  2. Sylvain Jay
  3. Fulya Baysal-Gurel

Papers from Aleixandre Verger's perspective

Ordered by how strongly the researchers Aleixandre Verger 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. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
  3. A Bayesian object based approach for estimating vegetation biophysical and biochemical variables from APEX at sensor radiance data
  4. Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data : Principles and validation
  5. MODIS leaf area index products: from validation to algorithm improvement (IEEE Transactions on Geoscience and Remote Sensing)
  6. TIMESAT - a program for analyzing time-series of satellite sensor data (Computational Geosciences)
  7. A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter
  8. Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3
  9. A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling (International Journal of Applied Earth Observation and Geoinformation)
  10. Crop identification using harmonic analysis of time-series AVHRR NDVI data

Their papers