@article{fdi:010066082, title = {{D}is{PATC}h as a tool to evaluate coarse-scale remotely sensed soil moisture using localized in situ measurements : application to {SMOS} and {AMSR}-{E} data in {S}outheastern {A}ustralia}, author = {{M}albeteau, {Y}. and {M}erlin, {O}livier and {M}olero, {B}. and {R}udiger, {C}. and {B}acon, {S}.}, editor = {}, language = {{ENG}}, abstract = {{V}alidating coarse-scale satellite soil moisture data still represents a big challenge, notably due to the large mismatch existing between the spatial resolution (> 10 km) of microwave radiometers and the representativeness scale (several m) of localized in situ measurements. {T}his study aims to examine the potential of {D}is{PATC}h ({D}isaggregation based on {P}hysical and {T}heoretical scale {C}hange) for validating {SMOS} ({S}oil {M}oisture and {O}cean {S}alinity) and {AMSR}-{E} ({A}dvanced {M}icrowave {S}canning {R}adiometer-{E}arth observation system) level-3 soil moisture products. {T}he similar to 40-50 km resolution {SMOS} and {AMSR}-{E} data are disaggregated at 1 km resolution over the {M}urrumbidgee catchment in {S}outheastern {A}ustralia during a one year period in 2010-2011, and the satellite products are compared with the in situ measurements of 38 stations distributed within the study area. {I}t is found that disaggregation improves the mean difference, correlation coefficient and slope of the linear regression between satellite and in situ data in 77%, 92% and 94% of cases, respectively. {N}evertheless, the downscaling efficiency is lower in winter than during the hotter months when {D}is{PATC}h performance is optimal. {C}onsistently, better results are obtained in the semi-arid than in a temperate zone of the catchment. {I}n the semi-arid {Y}anco region, disaggregation in summer increases the correlation coefficient from 0.63 to 0.78 and from 0.42 to 0.71 for {SMOS} and {AMSR}-{E} in morning overpasses and from 0.37 to 0.63 and from 0.47 to 0.73 for {SMOS} and {AMSR}-{E} in afternoon overpasses, respectively. {D}is{PATC}h has strong potential in low vegetated semi-arid areas where it can be used as a tool to evaluate coarse-scale remotely sensed soil moisture by explicitly representing the sub-pixel variability.}, keywords = {{D}isaggregation ; {S}oil moisture ; {V}alidation ; {SMOS} ; {AMSR}-{E} ; {D}is{PATC}h ; {AUSTRALIE}}, booktitle = {}, journal = {{I}nternational {J}ournal of {A}pplied {E}arth {O}bservation and {G}eoinformation}, volume = {45}, numero = {{B}}, pages = {221--234}, ISSN = {0303-2434}, year = {2016}, DOI = {10.1016/j.jag.2015.10.002}, URL = {https://www.documentation.ird.fr/hor/fdi:010066082}, }