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Geostatistical methods for predicting soil moisture continuously in a subalpine basin / Katherine E. Williams in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 4 (April 2014)
[article]
Titre : Geostatistical methods for predicting soil moisture continuously in a subalpine basin Type de document : Article/Communication Auteurs : Katherine E. Williams, Auteur ; Sharolyn Anderson, Auteur Année de publication : 2014 Article en page(s) : pp 333 - 341 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Colorado (Etats-Unis)
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] géostatistique
[Termes IGN] humidité du sol
[Termes IGN] hydrographie de surface
[Termes IGN] image Ikonos
[Termes IGN] pente
[Termes IGN] régression géographiquement pondéréeRésumé : (Auteur) This study presents spatial statistical methods for examining the distribution of soil moisture in a sub-alpine environment. The high local variability of soil moisture is not well characterized by spatial interpolation from dispersed data points. Interpolation using only field samples from Loch Vale, Rocky Mountain National Park, Colorado produced coarse estimates that followed mean soil moisture trends, but failed to capture local mid-slope variation. A properly specified regression model was identified by using dispersed field samples and ancillary data derived from Ikonos-2 and lidar data. This model predicted soil moisture patterns at a much finer spatial resolution. An intensive field campaign provided independent soil moisture measurements that were used to assess the model's accuracy. The modeled soil moisture estimates captured local variability associated with topographic terrain differences along mid-slope areas. Numéro de notice : A2014-210 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.4.333 En ligne : https://doi.org/10.14358/PERS.80.4.333 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33113
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 4 (April 2014) . - pp 333 - 341[article]Mapping a priori defined plant associations using remotely sensed vegetation characteristics / Hans D. Rölofsen in Remote sensing of environment, vol 140 (January 2014)
[article]
Titre : Mapping a priori defined plant associations using remotely sensed vegetation characteristics Type de document : Article/Communication Auteurs : Hans D. Rölofsen, Auteur ; Lammert Kooistra, Auteur ; Peter M. van Bodegom, Auteur ; Jochem Verrelst, Auteur ; Johan Krol, Auteur ; Jan-Philip M. Witte, Auteur Année de publication : 2014 Article en page(s) : pp 639 - 651 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] caractérisation
[Termes IGN] classification
[Termes IGN] humidité du sol
[Termes IGN] image aérienne
[Termes IGN] image multibande
[Termes IGN] nutriment végétal
[Termes IGN] Pays-Bas
[Termes IGN] phytosociologie
[Termes IGN] placette d'échantillonnage
[Termes IGN] répartition géographique
[Termes IGN] salinité
[Vedettes matières IGN] Ecologie forestièreRésumé : (auteur) Incorporation of a priori defined plant associations into remote sensing products is a major challenge that has only recently been confronted by the remote sensing community. We present an approach to map the spatial distribution of such associations by using plant indicator values (IVs) for salinity, moisture and nutrients as an intermediate between spectral reflectance and association occurrences. For a 12 km2 study site in the Netherlands, the relations between observed IVs at local vegetation plots and visible and near-infrared (VNIR) and short-wave infrared (SWIR) airborne reflectance data were modelled using Gaussian Process Regression (GPR) (R2 0.73, 0.64 and 0.76 for salinity, moisture and nutrients, respectively). These relations were applied to map IVs for the complete study site. Association occurrence probabilities were modelled as function of IVs using a large database of vegetation plots with known association and IVs. Using the mapped IVs, we calculated occurrence probabilities of 19 associations for each pixel, resulting in both a crisp association map with the most likely occurring association per pixel, as well as occurrence probability maps per association. Association occurrence predictions were assessed by a local vegetation expert, which revealed that the occurrences of associations situated at frequently predicted indicator value combinations were over predicted. This seems primarily due to biases in the GPR predicted IVs, resulting in associations with envelopes located in extreme ends of IVs being scarcely predicted. Although the results of this particular study were not fully satisfactory, the method potentially offers several advantages compared to current vegetation classification techniques, like site-independent calibration of association probabilities, site-independent selection of associations and the provision of IV maps and occurrence probabilities per association. If the prediction of IVs can be improved, this method may thus provide a viable roadmap to bring a priori defined plant associations into the domain of remote sensing. Numéro de notice : A2014-796 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2013.09.030 En ligne : https://doi.org/10.1016/j.rse.2013.09.030 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81015
in Remote sensing of environment > vol 140 (January 2014) . - pp 639 - 651[article]Soil moisture estimation under low vegetation cover using a multi-angular polarimetric decomposition / Thomas Jaghuber in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 2 (April 2013)
[article]
Titre : Soil moisture estimation under low vegetation cover using a multi-angular polarimetric decomposition Type de document : Article/Communication Auteurs : Thomas Jaghuber, Auteur ; Irena Hajnsek, Auteur ; Axel Bronstert, Auteur ; Konstantinos Panagiotis Papathanassiou, Auteur Année de publication : 2013 Article en page(s) : pp 2201 - 2215 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande L
[Termes IGN] couvert végétal
[Termes IGN] décomposition d'image
[Termes IGN] diffusion du rayonnement
[Termes IGN] humidité du sol
[Termes IGN] image E-SAR
[Termes IGN] image radar moirée
[Termes IGN] polarimétrie radar
[Termes IGN] rétrodiffusion
[Termes IGN] surface cultivéeRésumé : (Auteur) The estimation of volumetric soil moisture under low agricultural vegetation from fully polarimetric synthetic aperture radar (SAR) data at L-band using a multi-angular polarimetric decomposition is investigated. Radar polarimetry provides the framework to decompose the backscattered signal into different canonical scattering mechanisms referring to scattering contributions from the underlying soil and the vegetation cover. Multi-angular observation diversity further increases the information space for soil moisture inversion enabling higher inversion rates and a stable inversion performance. The developed approach was applied on the multi-angular L-band data set acquired by German Aerospace Center's ESAR sensor as part of the OPAQUE campaign in 2008. The obtained results are compared against ground measurements collected by the OPAQUE team over a variety of vegetated agricultural fields. The validation of the estimated against ground measured soil moisture results in an root mean square error level of 6–8 vol.% including all test fields with a variety of crop types. Numéro de notice : A2013-222 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2209433 En ligne : https://doi.org/10.1109/TGRS.2012.2209433 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32360
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 4 Tome 2 (April 2013) . - pp 2201 - 2215[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013041B RAB Revue Centre de documentation En réserve L003 Disponible The soil moisture and ocean salinity (SMOS) mission: first results and achievements / Yann H. Kerr in Revue Française de Photogrammétrie et de Télédétection, n° 200 (Novembre 2012)
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Titre : The soil moisture and ocean salinity (SMOS) mission: first results and achievements Type de document : Article/Communication Auteurs : Yann H. Kerr, Auteur ; P. Waldteufel, Auteur ; Jean-Pierre Wigneron, Auteur ; J. Boutin, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 12 - 19 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Missions spatiales
[Termes IGN] aérosol
[Termes IGN] bande L
[Termes IGN] humidité du sol
[Termes IGN] hydrosphère
[Termes IGN] image SMOS
[Termes IGN] océanographie spatiale
[Termes IGN] salinitéRésumé : (Auteur) The SMOS (Soil Moisture and Ocean Salinity) satellite was successfully launched in November 2009. This ESA led mission for Earth Observation is dedicated to providing soil moisture over continental surface (with an accuracy goal of 0.04 nf/nf) and ocean salinity (with a goal of 0.1 psu). These two geophysical features are important as they control the energy balance between the surface and the atmosphere. Their knowledge is of interest at global scales for climatic and weather research in particular for improving model forecasts. But it also has impact on various domains, ranging from hurricane monitoring to water resource management. The first six months after the launch, the so called commissioning phase, was dedicated to testing the functionalities of the spacecraft, the instrument and the ground segment including data processing. This phase was successfully completed in May 2010, and SMOS has since been in the routine operation phase, providing data products for the scientific community for over two years. The instrument performance and data quality fit the specifications. However, radio frequency interferences have been detected over large parts of Europe, China, Southern Asia, and the Middle East. The generation of Level 2 soil moisture and ocean salinity data is an on-going activity with continuously improved processings. Numéro de notice : A2012-563 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article DOI : 10.52638/rfpt.2012.57 En ligne : https://doi.org/10.52638/rfpt.2012.57 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32009
in Revue Française de Photogrammétrie et de Télédétection > n° 200 (Novembre 2012) . - pp 12 - 19[article]Le cycle de l'eau dans le système de mousson d'Afrique de l'Ouest / Christophe Peugeot in La Météorologie, n° spéc (octobre 2012)
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Titre : Le cycle de l'eau dans le système de mousson d'Afrique de l'Ouest Titre original : The water cycle in the West African monsoon system Type de document : Article/Communication Auteurs : Christophe Peugeot, Auteur ; Olivier Bock , Auteur ; Aaron Boone, Auteur ; Bernard Cappelaere, Auteur ; Marielle Gosset, Auteur ; Rémi Meynadier, Auteur ; Luc Séguis, Auteur ; Thierry Lebel, Auteur ; Jean-Luc Redelsperger, Auteur Année de publication : 2012 Projets : AMMA & AMMA-2 / Janicot, Serge Article en page(s) : pp 53 - 63 Langues : Français (fre) Descripteur : [Termes IGN] Afrique occidentale
[Termes IGN] eau souterraine
[Termes IGN] évapotranspiration
[Termes IGN] humidité du sol
[Termes IGN] modèle de simulation
[Termes IGN] mousson
[Termes IGN] précipitation
[Termes IGN] ressources en eauRésumé : (auteur) L'amélioration de la compréhension du cycle de l'eau dans le système de la mousson ouest-africaine et de sa représentation dans les modèles est l'un des objectifs importants du programme AMMA. Le cycle de l'eau est le résultat d'interactions complexes entre l'atmosphère et le continent, dont les modalités sont très contrastées selon les échelles spatiales et temporelles, et les régions considérées. Les propriétés de la surface, du sol et du sous-sol conditionnent fortement la redistribution des précipitations sur le continent et la réalimentation de l'atmosphère, donnant lieu à des boucles de rétroaction encore mal comprises à ce stade. Les études de processus et les bilans d'eau établis à partir d'observations issues de la campagne AMMA, combinées à des produits de modélisation, nous permettent d'avancer sur la description et la compréhension de ces mécanismes. Il subsiste encore des incertitudes sur la quantification de certains processus notamment sur les liens entre l'évapotranspiration des surfaces, la végétation et les stocks d'eau souterrains. Au-delà de la compréhension du système de mousson, l'amélioration des modèles, de meilleures prévisions numériques en météorologie et le développement d'outils de quantification et de gestion des ressources en eau sont les principales applications attendues de ces travaux. Numéro de notice : A2012-756 Affiliation des auteurs : LAREG+Ext (1991-2011) Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : 10.4267/2042/48133 En ligne : https://doi.org/10.4267/2042/48133 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96180
in La Météorologie > n° spéc (octobre 2012) . - pp 53 - 63[article]Modelling flow routing in permafrost landscapes with TWI: an evaluation against site-specific wetness measurements / A. Persson in Transactions in GIS, vol 16 n° 5 (October 2012)PermalinkAnalysis of C-band scatterometer moisture estimations derived over a semiarid region / R. Amri in IEEE Transactions on geoscience and remote sensing, vol 50 n° 7 Tome 1 (July 2012)PermalinkError assessment of the initial near real-time METOP ASCAT surface soil moisture product / S. Hahn in IEEE Transactions on geoscience and remote sensing, vol 50 n° 7 Tome 1 (July 2012)PermalinkKalideos ADAM : synthèse et retour d'expérience / R. Vintila in Revue Française de Photogrammétrie et de Télédétection, n° 197 (Juin 2012)PermalinkEvaluation of SMOS soil moisture products over continental U.S. using the SCAN/SNOTEL network / A. Al Bitar in IEEE Transactions on geoscience and remote sensing, vol 50 n° 5 Tome 1 (May 2012)PermalinkValidation of the SMOS L2 soil moisture data in the REMEDHUS network (Spain) / N. Sanchez in IEEE Transactions on geoscience and remote sensing, vol 50 n° 5 Tome 1 (May 2012)PermalinkPrediction of the error induced by topography in satellite microwave radiometric observations / Luca Pulvirenti in IEEE Transactions on geoscience and remote sensing, vol 49 n° 9 (September 2011)PermalinkEvaluating an improved parameterization of the soil emission in L-MEB / Jean-Pierre Wigneron in IEEE Transactions on geoscience and remote sensing, vol 49 n° 4 (April 2011)Permalinkvol 49 n° 4 - April 2011 - Special issue on remote sensing and modeling of surface properties (Bulletin de IEEE Transactions on geoscience and remote sensing) / Geoscience and remote sensing societyPermalinkSub-canopy soil moisture modeling in n-dimensional spectral feature space / A. Ghulam in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 2 (February 2011)PermalinkEffect of corn on C-an L-band radar backscatter: a correction method for soil moisture retrieval / A. Joseph in Remote sensing of environment, vol 114 n° 11 (15/11/2010)Permalinkvol 31 n° 14 - July 2010 - Special issue : satellite-based observations of hydrologycal process (Bulletin de International Journal of Remote Sensing IJRS) / Remote sensing and photogrammetry societyPermalinkUsing landscape characteristics to define an adjusted distance metric for improving kriging interpolations / S. Lyon in International journal of geographical information science IJGIS, vol 24 n° 5-6 (may 2010)PermalinkBiodiversité floristique, entomologique et ornithologique des vallées alluviales de Champagne-Ardenne / Alain Berthelot (2010)PermalinkIt's not all bad, understanding and using GNSS multipath / A. Bilich in GPS world, vol 20 n° 10 (October 2009)PermalinkGNSS-R [GNSS-Reflectometry]: a space asset for non-space applications / A. Egido in Geoinformatics, vol 12 n° 6 (01/09/2009)PermalinkRemote sensing with reflected signals: GNSS-R data processing software and test analysis / D. Yang in Inside GNSS, vol 4 n° 5 (September - October 2009)PermalinkObservation des eaux continentales depuis l'espace / Anny Cazenave in Géosciences, n° 9 (avril 2009)PermalinkExploring the water cycle of the 'blue planet': the Soil Moisture and Ocean Salinity (SMOS) mission / M. Drinkwater in ESA bulletin, n° 137 (February 2009)PermalinkUsing ENVISAT ASAR global mode data for surface soil moisture retrieval over Oklahoma, USA / Carsten Pathe in IEEE Transactions on geoscience and remote sensing, vol 47 n° 2 (February 2009)PermalinkA Linking Test that establishes if groundwater recharge can be determined by optimising vegetation parameters against soil moisture / Joseph Alexander Paul Pollacco in Annals of Forest Science, Vol 65 n° 7 (October - November 2008)PermalinkSpatialisation de la température et des flux énergétiques de surface à partir des données satellitaires Landsat ETM+ / M. Mehor in Revue Française de Photogrammétrie et de Télédétection, n° 190 (Septembre 2008)PermalinkAssimilation of remote sensed data for improved latent and sensible heat flux prediction: a comparative synthetic study / R. Pipunic in Remote sensing of environment, vol 112 n° 4 (15/04/2008)PermalinkMulti-sensor model-data fusion for estimation of hydrologic and energy flux parameters / L. Renzullo in Remote sensing of environment, vol 112 n° 4 (15/04/2008)PermalinkSoil moisture experiment 2004 (SMEX04) (Bulletin de Remote sensing of environment) / Thomas J. JacksonPermalinkSpatial 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)PermalinkA method for soil moisture estimation in Western Africa based on the ERS scatterometer / Mehrez Zribi in IEEE Transactions on geoscience and remote sensing, vol 46 n° 2 (February 2008)PermalinkIntegration of MODIS data into a simple model for the spatial distributed simulation of soil water content and evapotranspiration / Y. Zhang in Remote sensing of environment, vol 104 n° 4 (30/10/2006)PermalinkEvaluation 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)PermalinkThe contribution of remote sensing to the assessment of drought effects in forest ecosystems / Michel Deshayes in Annals of Forest Science, Vol 63 n° 6 (september 2006)PermalinkSoil 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)PermalinkHigh-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)PermalinkMapping the effects of water stress on sphagnum: preliminary observations using airborne remote sensing / A. Harris in Remote sensing of environment, vol 100 n° 3 (15 february 2006)PermalinkUtilizing calibrated GPS reflected signals to estimate soil reflectivity and dielectric constant: results from SMEX02 / S.J. Katzberg in Remote sensing of environment, vol 100 n° 1 (15/01/2006)PermalinkDynamique urbaine et télédétection : le choix de l'indicateur végétal, les cas de Montréal, Paris et Pékin / I. Biraud-Burot in Photo interprétation, vol 41 n° 4 (Novembre 2005)PermalinkGround-penetrating radar measurement of crop and surface water content dynamics / G. Serbin in Remote sensing of environment, vol 96 n° 1 (15/05/2005)PermalinkEvaluation of a rough soil surface description with ASAR-ENVISAT radar data / Mehrez Zribi in Remote sensing of environment, vol 95 n° 1 (15/03/2005)PermalinkSpatial resolution and processing tradeoffs for HYDROS: application of reconstruction and resolution enhancement techniques / David G. Long in IEEE Transactions on geoscience and remote sensing, vol 43 n° 1 (January 2005)PermalinkMapping soil moisture in the central Ebro river valley (NorthEast Spain) with Landsat and NOAA satellite imagery: a comparison with meteorological data / S.M. Vicente-Serrano in International Journal of Remote Sensing IJRS, vol 25 n° 20 (October 2004)Permalinkvol 92 n° 4 - 30 September 2004 - 2002 Soil Moisture Experiment (SMEX02) (Bulletin de Remote sensing of environment) / M.E. BauerPermalinkRetrieval of soil moisture from passive and active L/S band sensor (PALS) observations during the soil moisture experiment in 2002 (SMEX) / U. Narayan in Remote sensing of environment, vol 92 n° 4 (30 September 2004)PermalinkSMEX02: field scale variability, time stability and similarity of soil moisture / J.M. Jacobs in Remote sensing of environment, vol 92 n° 4 (30 September 2004)PermalinkWatershed 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)PermalinkMonitoring surface soil moisture in post-harvest rice areas using C-band radar imagery in NorthEast Thailand / S. Kaojarern in Geocarto international, vol 19 n° 3 (September - November 2004)PermalinkDesign and test of the ground-based L-band radiometer for estimating water in soils (LEWIS) / F. LemaÎtre in IEEE Transactions on geoscience and remote sensing, vol 42 n° 8 (August 2004)Permalink