@article{fdi:010063928,
  title = {{A}n evaluation of {SCOPE} : a tool to simulate the directional anisotropy of satellite-measured surface temperatures},
  author = {{D}uffour, {C}. and {O}lioso, {A}. and {D}emarty, {J}{\'e}rome and {V}an der {T}ol, {C}. and {L}agouarde, {J}. {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his study assesses the performance of the {SCOPE} model ({V}an der {T}ol et al., 2009) to reproduce directional anisotropy of remote sensing thermal infrared measurements. {A} calibration/validation exercise over two datasets (winter wheat and young pine stand) on energy balance fluxes is presented. {S}urface sensible and latent heat fluxes are correctly simulated (with {RMSE} in the range of 30-50 {W}.m(-2)) together with directional temperatures in 4 different viewing geometries ({RMSE} < 1.4 {K}) for both canopies. {T}he sensitivity of the model to two critical but uncertain parameters, the maximum carboxylation capacity {V}-cmo, and a stomatal parameter lambda (the marginal water cost of carbon assimilation) is discussed; it is shown that anisotropy displays limited sensitivity to both parameters for the experimental conditions met over a well-watered wheat field. {T}he ability of {SCOPE} to simulate anisotropy is finally illustrated by a qualitative comparison against experimental measurements obtained over a mature pine stand using an airborne {TIR} camera. {SCOPE}-simulated {TIR} directional anisotropy appears to be consistent with the experimental data.},
  keywords = {{T}hermal infrared ; {L}and surface temperature ; {D}irectional anisotropy ; {SCOPE} ; {T}hermal remote-sensing ; {FRANCE}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {158},
  numero = {},
  pages = {362--375},
  ISSN = {0034-4257},
  year = {2015},
  DOI = {10.1016/j.rse.2014.10.019},
  URL = {https://www.documentation.ird.fr/hor/fdi:010063928},
}