@article{fdi:010083860,
  title = {{O}ptimization of instrumental spectral configurations for the split-window method in the context of the {TRISHNA} mission},
  author = {{V}idal, {T}. {H}. {G}. and {J}acob, {F}r{\'e}d{\'e}ric and {O}lioso, {A}. and {G}amet, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{W}e propose an original approach to optimize the {T}hermal infra{R}ed {I}maging {S}atellite for {H}igh-resolution {N}atural resource {A}ssessment ({TRISHNA}) instrument spectral configuration for the split-window ({SW}) method. {F}irst, we consider as input of end-to-end simulations an emissivity data set that accounts for cavity effect within vegetation canopy. {S}econd, we propose a bidimensional approach where both locations of {TRISHNA} {SW} channels, namely $lambda_{c}<^>{{TIR}3}$ and $lambda_{c}<^>{{TIR}4}$ , can slide within predefined spectral intervals. {W}e report a large sensitivity to channel positions, with variations of root mean square error ({RMSE}) on retrieved land surface temperature ({LST}) up to 3 {K}. {O}ur bidimensional approach shows that this sensitivity is consistent with the underlying assumptions of the {SW} method. {I}ndeed, two regions are observed in the $(lambda_{c}<^>{{TIR}3},lambda_{c}<^>{{TIR}4})$ space: 1) an unfavorable region corresponding to $lambda_{c}<^>{{TIR}3}<= 10.0$ mu m, where large {RMSE} values are ascribed to large differences between emissivities in both {SW} channels, and 2) a favorable region corresponding to $lambda_{c}<^>{{TIR}3}>= 10.3$ mu m, where differences between emissivities in both {SW} channels are small and {RMSE} values are driven by the differences between atmospheric transmittance in both {SW} channels. {O}verall, it is necessary to better account for the difference in surface emissivities between the two {SW} channels, whereas disregarding the cavity effect within vegetation canopy is not critical. {E}ventually, our bidimensional approach permits to define an optimal position for $lambda_{c}<^>{{TIR}3}$ at 10.6 mu m, which induces larger robustness to uncertainties on channel positions. {B}y applying our study on two structurally different {SW} formulations and addressing impacts of uncertainties on land surface emissivity ({LSE}) and atmospheric water vapor content ({AWVC}), we show that these results can be generalized to other {SW} formulations.},
  keywords = {{L}and surface temperature ; {T}emperature measurement ; {A}tmospheric measurements ; {L}and surface ; {V}egetation mapping ; {S}ea measurements ; {R}adiometry ; {M}ercury-cadmium-telluride cooled detectors ; satellite ; mission design ; sensitivity analysis ; spectral channel positioning ; split-window ({SW}) method ; thermal infrared ({TIR}) remote sensing ; vegetation canopy-scaled cavity effect},
  booktitle = {},
  journal = {{IEEE} {T}ransactions on {G}eoscience and {R}emote {S}ensing},
  volume = {[{E}arly access]},
  numero = {},
  pages = {[14 ]},
  ISSN = {0196-2892},
  year = {2021},
  DOI = {10.1109/tgrs.2021.3099967},
  URL = {https://www.documentation.ird.fr/hor/fdi:010083860},
}