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Soil moisture mapping and AMSR-E validation using the PSR in SMEX02 / R. Bindlish in Remote sensing of environment, vol 103 n° 2 (30/07/2006)  

Public [article]  inRemote sensing of environment > vol 103 n° 2 (30/07/2006) . - pp 127 - 139 Titre : Soil moisture mapping and AMSR-E validation using the PSR in SMEX02 Type de document : Article/Communication Auteurs : R. Bindlish, Auteur ; Thomas J. Jackson, Auteur ; A.J. Gasiewski, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 127 - 139 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse comparative [Termes IGN] bande C [Termes IGN] bande X [Termes IGN] biomasse [Termes IGN] carte thématique [Termes IGN] Glycine max [Termes IGN] humidité du sol [Termes IGN] image Aqua-AMSR [Termes IGN] Iowa (Etats-Unis) [Termes IGN] maïs (céréale) [Termes IGN] télédétection en hyperfréquence [Termes IGN] température de luminance Résumé : (Auteur) Field experiments (SMEX02) were conducted to evaluate the effects of dense agricultural crop conditions on soil moisture retrieval using passive microwave remote sensing. Aircraft observations were collected using a new version of the Polarimetric Scanning Radiometer (PSR) that provided four C band and four X band frequencies. Observations were also available from the Aqua satellite Advanced Microwave Scanning Radiometer (AMSR-E) at these same frequencies. SMEX02 was conducted over a three-week period during the summer near Ames, Iowa. Corn and soybeans dominate the region. During the study period the corn was approaching its peak water content state and the soybeans were at the mid point of the growth cycle. Aircraft observations are compared to ground observations. Subsequently models are developed to describe the effects of corn and soybeans on soil moisture retrieval. Multiple altitude aircraft brightness temperatures were compared to AMSR-E observations to understand brightness temperature scaling and provide validation. The X-band observations from the two sensors were in reasonable agreement. The AMSR-E C-band observations were contaminated with anthropogenic RFI, which made comparison to the PSR invalid. Aircraft data along with ancillary data were used in a retrieval algorithm to map soil moisture. The PSR estimated soil moisture retrievals on a field-by-field comparison had a standard error of estimate (SEE) of 5.5%. The error reduced when high altitude soil moisture estimates were aggregated to 25 km resolution (same as AMSR-E EASE grid product resolution) (SEE not, vert, similar 2.85%). These soil moisture products provide a validation of the AMSR retrievals. PSR/CX soil moisture images show spatial and temporal patterns consistent with meteorological and soil conditions. The dynamic range of the PSR/CX observations indicates that reasonable soil moisture estimates can be obtained from AMSR, even in areas of high vegetation biomass content (not, vert, similar 4–8 kg/m2). Copyright Elsevier Numéro de notice : A2006-319 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2005.02.003 En ligne : https://doi.org/10.1016/j.rse.2005.02.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28043 [article]