@article{fdi:010053513,
  title = {{M}apping surface soil moisture over the {G}ourma mesoscale site ({M}ali) by using {ENVISAT} {ASAR} data},
  author = {{B}aup, {F}. and {M}ougin, {E}. and {D}e {R}osnay, {P}. and {H}iernaux, {P}. and {F}rappart, {F}. and {F}rison, {P}.{L}. and {Z}ribi, {M}ehrez and {V}iarre, {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he potentialities of {ENVISAT} {ASAR} ({A}dvanced {S}ynthetic {A}perture {R}adar) multi-angle data for mapping surface soil moisture ({SSM}) in {S}ahelian rangelands are investigated at medium scale (30 000 km(2)). {T}he {W}ide {S}wath data are selected to take advantage of their high temporal repetitivity (about 8 days at the considered scale) associated to a moderate spatial resolution (150m). {I}n the continuity of previous studies conducted at a local scale in the same region, {SSM} maps are here processed over the whole {AMMA} {G}ourma mesoscale site at 1 km resolution scale. {O}verall, the generated maps are found to be in good agreement with field data, {EPSAT}-{SG} ({E}stimation des {P}luies par {SAT}ellite - {S}econd {G}eneration) rainfall estimates and {ERS} ({E}uropean {R}emote {S}ensing) {W}ind {S}catterometer ({WSC}) {SSM} products. {T}he present study shows that the spatial pattern of {SSM} can be realistically estimated at a kilometric scale. {T}he resulting {SSM} maps are expected to provide valuable information for initialisation of land surface models and the estimation of the spatial distribution of radiative fluxes. {P}articularly, {SSM} maps could help to desaggregate low-resolution products such as those derived from {WSC} data.},
  keywords = {},
  booktitle = {},
  journal = {{H}ydrology and {E}arth {S}ystem {S}ciences},
  volume = {15},
  numero = {2},
  pages = {603--616},
  ISSN = {1027-5606},
  year = {2011},
  DOI = {10.5194/hess-15-603-2011},
  URL = {https://www.documentation.ird.fr/hor/fdi:010053513},
}