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The soil moisture active passive validation experiment 2012 (SMAPVEX12): Prelaunch calibration and validation of the SMAP Soil moisture algorithms / Heather McNairn in IEEE Transactions on geoscience and remote sensing, vol 53 n° 5 (mai 2015)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 53 n° 5 (mai 2015) . - pp 2784 - 2801 Titre : The soil moisture active passive validation experiment 2012 (SMAPVEX12): Prelaunch calibration and validation of the SMAP Soil moisture algorithms Type de document : Article/Communication Auteurs : Heather McNairn, Auteur ; Thomas J. Jackson, Auteur ; Grant Wiseman, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 2784 - 2801 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] analyse de données [Termes IGN] bande L [Termes IGN] étalonnage [Termes IGN] étalonnage de capteur (imagerie) [Termes IGN] humidité du sol [Termes IGN] image aérienne [Termes IGN] image radar [Termes IGN] Soil Moisture Active Passive [Termes IGN] télédétection en hyperfréquence [Termes IGN] test de performance Résumé : (auteur) The National Aeronautics and Space Administration (NASA) Soil Moisture Active Passive (SMAP) satellite is scheduled for launch in January 2015. In order to develop robust soil moisture retrieval algorithms that fully exploit the unique capabilities of SMAP, algorithm developers had identified a need for long-duration combined active and passive L-band microwave observations. In response to this need, a joint Canada-U.S. field experiment (SMAPVEX12) was conducted in Manitoba (Canada) over a six-week period in 2012. Several times per week, NASA flew two aircraft carrying instruments that could simulate the observations the SMAP satellite would provide. Ground crews collected soil moisture data, crop measurements, and biomass samples in support of this campaign. The objective of SMAPVEX12 was to support the development, enhancement, and testing of SMAP soil moisture retrieval algorithms. This paper details the airborne and field data collection as well as data calibration and analysis. Early results from the SMAP active radar retrieval methods are presented and demonstrate that relative and absolute soil moisture can be delivered by this approach. Passive active L-band sensor (PALS) antenna temperatures and reflectivity, as well as backscatter, closely follow dry down and wetting events observed during SMAPVEX12. The SMAPVEX12 experiment was highly successful in achieving its objectives and provides a unique and valuable data set that will advance algorithm development. Numéro de notice : A2015-631 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2364913 En ligne : https://doi.org/10.1109/TGRS.2014.2364913 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78119 [article]

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Soil moisture experiment 2004 (SMEX04) (Bulletin de Remote sensing of environment) / Thomas J. Jackson

Public [n° ou bulletin]  Titre : Soil moisture experiment 2004 (SMEX04) Type de document : Périodique Auteurs : Thomas J. Jackson, Éditeur scientifique ; S. Moran, Éditeur scientifique ; P. O'neill, Éditeur scientifique Editeur : Amsterdam [Pays Bas] : Elsevier Année de publication : 2008 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection [Termes IGN] humidité du sol [Termes IGN] Soil Moisture Experiment Numéro de notice : 110-0802 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=10445 [n° ou bulletin]

Contient

• Spatial sampling uncertainty in SMEX04 soil moisture fields: a data-based resampling experiment / M. Gebremichael in Remote sensing of environment, vol 112 n° 2 (15/02/2008)  

Evaluation of the Oceansat-1 Multi-frequency Scanning Microwave Radiometer and its potential for soil moisture retrieval / J. Wen in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°18 - 19 - 20 (October 2006) . - pp 3781 - 3796 Titre : Evaluation of the Oceansat-1 Multi-frequency Scanning Microwave Radiometer and its potential for soil moisture retrieval Type de document : Article/Communication Auteurs : J. Wen, Auteur ; Thomas J. Jackson, Auteur ; R. Bindlish, Auteur ; Z.B. Su, Auteur Année de publication : 2006 Article en page(s) : pp 3781 - 3796 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse comparative [Termes IGN] analyse de sensibilité [Termes IGN] carte thématique [Termes IGN] erreur systématique [Termes IGN] Etats-Unis [Termes IGN] humidité du sol [Termes IGN] image IRS-MSMR [Termes IGN] température de luminance Résumé : (Auteur) The Multi-frequency Scanning Microwave Radiometer (MSMR) aboard the Indian Space Research Organization—Oceansat-1 platform measured land surface brightness temperature at a C-band frequency and provided an opportunity for exploring large-scale soil moisture retrieval during its two-year period of operation. These data may provide a valuable extension to the Scanning Multichannel Microwave Radiometer (SMMR) and the Advanced Microwave Scanning Radiometer (AMSR) since they covered a portion of the time period between the two missions. This investigation was one of the first to utilize the MSMR data for a land application and, as a result, several data quality issues had to be addressed. These included geolocation accuracy, calibration (particularly over land), erroneous data, and the significance of anthropogenic radio-frequency interference (RFI). Calibration of the low frequency channels was evaluated using inter-comparisons between the Tropical Rainfall Measuring Mission/Microwave Imager (TRMM/TMI) and the MSMR brightness temperatures. Biases (TMI TB>MSMR TB) of 3.4 and 3.6 K were observed over land for the MSMR 10.65 GHz horizontal and vertical polarization channels, respectively. These results suggested that additional calibration of the MSMR data was required. Comparisons between the MSMR measured brightness temperature and ground measured volumetric soil moisture collected during the South Great Plain experiment (SGP99) indicated that the lower frequency and horizontal polarization observations had higher sensitivity to soil moisture. Using a previously developed soil emission model, multi-temporal regional soil moisture distributions were retrieved for the continental United States. Comparisons between the MSMR based soil moisture and ground measured volumetric soil moisture indicated a standard error of estimate of 0.052 m3/m3. Copyright Taylor & Francis Numéro de notice : A2006-456 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500075642 En ligne : https://doi.org/10.1080/01431160500075642 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28180 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-06101	RAB	Revue	Centre de documentation	En réserve L003	Disponible

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]

High-resolution change estimation of soil moisture using L-band radiometer and Radar observations made during the SMEX02 experiments / U. Narayan in IEEE Transactions on geoscience and remote sensing, vol 44 n° 6 (June 2006)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 44 n° 6 (June 2006) . - pp 1545 - 1554 Titre : High-resolution change estimation of soil moisture using L-band radiometer and Radar observations made during the SMEX02 experiments Type de document : Article/Communication Auteurs : U. Narayan, Auteur ; V. Lakshmi, Auteur ; Thomas J. Jackson, Auteur Année de publication : 2006 Article en page(s) : pp 1545 - 1554 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] bande L [Termes IGN] coefficient de rétrodiffusion [Termes IGN] détection de changement [Termes IGN] humidité du sol [Termes IGN] image AIRSAR [Termes IGN] image ALOS [Termes IGN] Iowa (Etats-Unis) [Termes IGN] limite de résolution radiométrique [Termes IGN] radiomètre à hyperfréquence [Termes IGN] rugosité du sol [Termes IGN] simulation numérique [Termes IGN] Soil Moisture Experiment [Termes IGN] température de luminance Résumé : (Auteur) The soil moisture experiments held during June-July 2002 (SMEX02) at lowa demonstrated the potential of the L-band radiometer (PALS) in estimation of near surface soil moisture under dense vegetation canopy conditions. The L-band radar was also shown to be sensitive to near surface soil moisture. However, the spatial resolution of a typical satellite L-band radiometer is of the order of tens of kilometers, which is not sufficient to serve the full range of science needs for land surface hydrology and weather modeling applications. Disaggregation schemes for deriving subpixel estimates of soil moisture from radiometer data using higher resolution radar observations may provide the means for making available global soil moisture observations at a much finer scale. This paper presents a simple approach for estimation of change in soil moisture at a higher (radar) spatial resolution by combining L-band copolarized radar backscattering coefficients and L-band radiometric brightness temperatures. Sensitivity of AIRSAR L-band copolarized channels has been demonstrated by comparison with in situ soil moisture measurements as well as PALS brightness temperatures. The change estimation algorithm has been applied to coincident PALS and AIRSAR datasets acquired during the SMEX02 campaign. Using AIRSAR data aggregated to a 100-m resolution, PALS radiometer estimates of soil moisture change at a 400-m resolution have been disaggregated to 100-m resolution. The effect of surface roughness variability on the change estimation algorithm has been explained using integral equation model (IEM) simulations. A simulation experiment using synthetic data has been performed to analyze the performance of the algorithm over a region undergoing gradual wetting and dry down. Copyright IEEE Numéro de notice : A2006-260 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.871199 En ligne : https://doi.org/10.1109/TGRS.2006.871199 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27987 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-06061	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Watershed scale temporal and spatial stability of soil moisture and its role in validating satellite estimates / M.H. Cosh in Remote sensing of environment, vol 92 n° 4 (30 September 2004)  

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Using GIS in passive microwave soil moisture mapping and geostatistical analysis / A. Oldak in International journal of geographical information science IJGIS, vol 16 n° 7 (october 2002)  

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Airborne laser profile data for measuring ephemeral gully erosion / Thomas J. Jackson in Photogrammetric Engineering & Remote Sensing, PERS, vol 54 n° 8 (august 1988)  

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Temporal observations of surface soil moisture using a passive microwave sensor / Thomas J. Jackson in Remote sensing of environment, vol 21 n° 3 (01/04/1987)  

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