@article{fdi:010049082,
  title = {{D}isaggregation of {MODIS} surface temperature over an agricultural area using a time series of {F}ormosat-2 images},
  author = {{M}erlin, {O}. and {D}uchemin, {B}enoit and {H}agolle, {O}. and {J}acob, {F}r{\'e}d{\'e}ric and {C}oudert, {B}. and {C}hehbouni, {A}bdelghani and {D}edieu, {G}. and {G}aratuza, {J}. and {K}err, {Y}ann},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he temporal frequency of the thermal data provided by current spaceborne high-resolution imagery systems is inadequate for agricultural applications. {A}s an alternative to the lack of high-resolution observations, kilometric thermal data can be disaggregated using a green (photosynthetically active) vegetation index e.g. {NDVI} ({N}ormalized {D}ifference {V}egetation {I}ndex) collected at high resolution. {N}evertheless, this approach is only valid in the conditions where vegetation temperature is approximately uniform. {T}o extend the validity domain of the classical approach, a new methodology is developed by representing the temperature difference between photosynthetically and non-photosynthetically active vegetation. {I}n practice, both photosynthetically and non-photosynthetically active vegetation fractions are derived from a time series of {F}ormosat-2 shortwave data, and then included in the disaggregation procedure. {T}he approach is tested over a 16 km by 10 km irrigated cropping area in {M}exico during a whole agricultural season. {K}ilometric {MODIS} ({MOD}erate resolution {I}maging {S}pectroradiometer) surface temperature is disaggregated at 100 m resolution, and disaggregated temperature is subsequently compared against concurrent {ASTER} ({A}dvanced {S}paceborne {T}hermal {E}mission and {R}eflection {R}adiometer) data. {S}tatistical results indicate that the new methodology is more robust than the classical one, and is always more accurate when fractional non-photosynthetically active vegetation cover is larger than 0.10. {T}he mean correlation coefficient and slope between disaggregated and {ASTER} temperature is increased from 0.75 to 0.81 and from 0.60 to 0.77, respectively. {T}he approach is also tested using the {MODIS} data re-sampled at 2 km resolution. {A}ggregation reduces errors in {MODIS} data and consequently increases the disaggregation accuracy.},
  keywords = {{D}isaggregation ; {S}caling ; {S}urface temperature ; {V}egetation fraction ; {A}lbedo ; {F}ormosat-2 ; {MODIS} ; {ASTER}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {114},
  numero = {11},
  pages = {2500--2512},
  ISSN = {0034-4257},
  year = {2010},
  DOI = {10.1016/j.rse.2010.05.025},
  URL = {https://www.documentation.ird.fr/hor/fdi:010049082},
}