@article{fdi:010053381,
  title = {{S}patial distribution of the air temperature in mountainous areas using satellite thermal infra-red data},
  author = {{B}oudhar, {A}. and {D}uchemin, {B}eno{\^i}t and {H}anich, {L}. and {B}oulet, {G}illes and {C}hehbouni, {A}bdelghani},
  editor = {},
  language = {{ENG}},
  abstract = {{U}nderstanding the spatial distribution of air temperature in mountainous areas is essential in hydrological modelling. {I}n the {M}oroccan {H}igh-{A}tlas range, the meteorological stations network is sparse. {I}n order to get additional information, we investigated the thermal infrared data supplied by the {E}nhanced {T}hematic {M}apper ({ETM} +) sensor onboard the {L}andsat 7 satellite. {T}he brightness temperature derived from {ETM}+ images is used as a proxy for air temperature to set up a model that describes its spatial distribution. {T}his model accounts for sun location and topographic characteristics derived from the {SRTM} digital elevation model. {I}t was evaluated on the {R}heraya watershed, a 225-km(2) region located within the semi-arid {H}igh-{A}tlas mountain range, using two different sources of data. {T}he first data set consists in in-situ air temperature collected by meteorological stations installed during the experiment at various altitudes from 1400 to 3200 m. {T}he second data set is satellite estimates of snow-covered areas ({SCA}) derived from {MODIS} images over the whole catchment at 500 m spatial resolution.},
  keywords = {{A}ir temperature ; {L}andsat {ETM} ; {S}now-covered areas ; {M}oroccan {H}igh-{A}tlas},
  booktitle = {},
  journal = {{C}omptes {R}endus {G}eoscience},
  volume = {343},
  numero = {1},
  pages = {32--42},
  ISSN = {1631-0713},
  year = {2011},
  DOI = {10.1016/j.crte.2010.11.004},
  URL = {https://www.documentation.ird.fr/hor/fdi:010053381},
}