@article{fdi:010048191,
  title = {{A} sequential model for disaggregating near-surface soil moisture observations using multi-resolution thermal sensors},
  author = {{M}erlin, {O}livier and {A}l {B}itar, {A}. and {W}alker, {J}.{P}. and {K}err, {Y}ann},
  editor = {},
  language = {{ENG}},
  abstract = {{A} sequential model is developed to disaggregate microwave-derived soil moisture from 40 km to 4 km resolution using {MODIS} ({M}oderate {I}maging {S}pectroradiometer) data and subsequently from 4 km to 500 m resolution using {ASTER} ({A}dvanced {S}canning {T}hermal {E}mission and {R}eflection {R}adiometer) data. {T}he 1 km resolution airborne data collected during the three-week {N}ational {A}irborne {F}ield {E}xperiment 2006 ({NAFE}'06) are used to simulate the 40 km pixels, and a thermal-based disaggregation algorithm is applied using 1 km resolution {MODIS} and 100 m resolution {ASTER} data. {T}he downscaled soil moisture data are subsequently evaluated using a combination of airborne and in situ soil moisture measurements. {A} key step in the procedure is to identify an optimal downscaling resolution in terms of disaggregation accuracy and sub-pixel soil moisture variability. {V}ery consistent optimal downscaling resolutions are obtained for {MODIS} aboard {T}erra, {MODIS} aboard {A}qua and {ASTER}, which are 4 to 5 times the thermal sensor resolution. {T}he root mean square error between the 500 m resolution sequentially disaggregated and ground-measured soil moisture is 0.062 vol./vol. with a bias of -0.045 vol./vol. and values ranging from 0.08 to 0.40 vol./vol.},
  keywords = {{D}isaggregation ; {S}oil moisture ; {F}ractal ; {S}caling ; {M}ulti-sensor ; {NAFE} ; {SMOS} ; {MODIS} ; {ASTER}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {113},
  numero = {10},
  pages = {2275--2284},
  ISSN = {0034-4257},
  year = {2009},
  DOI = {10.1016/j.rse.2009.06.012},
  URL = {https://www.documentation.ird.fr/hor/fdi:010048191},
}