@article{fdi:010071073,
  title = {{M}apping dynamic water fraction under the tropical rain forests of the {A}mazonian {B}asin from {SMOS} brightness temperatures},
  author = {{P}arrens, {M}. and {A}l {B}itar, {A}. and {F}rappart, {F}. and {P}apa, {F}abrice and {C}almant, {S}t{\'e}phane and {C}retaux, {J}. {F}. and {W}igneron, {J}. {P}. and {K}err, {Y}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}nland surface waters in tropical environments play a major role in the water and carbon cycle. {R}emote sensing techniques based on passive, active microwave or optical wavelengths are commonly used to provide quantitative estimates of surface water extent from regional to global scales. {H}owever, some of these estimates are unable to detect water under dense vegetation and/or in the presence of cloud coverage. {T}o overcome these limitations, the brightness temperature data at {L}-band frequency from the {S}oil {M}oisture and {O}cean {S}alinity ({SMOS}) mission are used here to estimate flood extent in a contextual radiative transfer model over the {A}mazon {B}asin. {A}t this frequency, the signal is highly sensitive to the standing water above the ground, and the signal provides information from deeper vegetation density than higher-frequencies. {T}hree-day and (25 km x 25 km) resolution maps of water fraction extent are produced from 2010 to 2015. {T}he dynamic water surface extent estimates are compared to altimeter data ({J}ason-2), land cover classification maps ({IGBP}, {G}lobe{C}over and {ESA} {CCI}) and the dynamic water surface product ({GIEMS}). {T}he relationships between the water surfaces, precipitation and in situ discharge data are examined. {T}he results show a high correlation between water fraction estimated by {SMOS} and water levels from {J}ason-2 ({R} > 0.98). {G}ood spatial agreements for the land cover classifications and the water cycle are obtained.},
  keywords = {water fraction extent ; {L}-band ; {A}mazon {B}asin ; {BRESIL} ; {PEROU} ; {BOLIVIE} ; {COLOMBIE} ; {EQUATEUR} ; {AMAZONE} {BASSIN}},
  booktitle = {},
  journal = {{W}ater},
  volume = {9},
  numero = {5},
  pages = {art. 350 [26 p.]},
  ISSN = {2073-4441},
  year = {2017},
  URL = {https://www.documentation.ird.fr/hor/fdi:010071073},
}