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Claverie, M., Demarez, V., Duchemin, B., Hagolle, O., Ducrot, D., Marais-Sicre, C., Dejoux, J.F., Huc, M., Keravec, P., Béziat, P., Fieuzal, R., Ceschia, E. and Dedieu, G. (2012) Maize and Sunflower Biomass Estimation in Southwest France Using High Spatial and Temporal Resolution Remote Sensing Data. Remote Sensing of Environment, 124, 844-857.
http://dx.doi.org/10.1016/j.rse.2012.04.005

has been cited by the following article:

• TITLE: Sensitivity of X-Band (σ0, γ) and Optical (NDVI) Satellite Data to Corn Biophysical Parameters

  AUTHORS: Frédéric Baup, Lucio Villa, Rémy Fieuzal, Maël Ameline

  KEYWORDS: Corn, Biophysical Parameters, Interferometric Coherence, Backscattering Coefficients, NDVI,

  JOURNAL NAME: Advances in Remote Sensing, Vol.5 No.2, June 15, 2016

  ABSTRACT: The objective of this work was to evaluate the sensitivity of three different satellite signals (interferometric coherence (γ), backscattering coefficient (σ0) and NDVI) to corn biophysical parameters (leaf area index, height, biomass and water content) throughout its entire vegetation cycle. All of the satellite and in situ data were collected during the Multi-spectral Crop Monitoring (MCM’10) experiment conducted in 2010 by the CESBIO Laboratory over eight different agricultural sites located in southwestern France. The results demonstrated that the NDVI is well adapted for leaf area index monitoring, whereas γ27.3° is much more suited to the estimation of the three other Biophysical Parameters throughout the entire crop cycle, with a coefficient of determination ranging from 0.83 to 0.99, using non-linear relationships. Moreover, contrary to the use of the NDVI or backscattering coefficients, the use of coherence exhibited a low sensitivity to the changes in vegetation and soil moisture occurring during senescence, offering interesting perspectives in the domain of applied remote sensing