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Multitemporal cross-calibration of the Terra MODIS and Landsat 7 ETM+ reflective solar bands / Amit Angal in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 1 (April 2013)
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Titre : Multitemporal cross-calibration of the Terra MODIS and Landsat 7 ETM+ reflective solar bands Type de document : Article/Communication Auteurs : Amit Angal, Auteur ; Xianxiong Xiong, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 1870 - 1882 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] étalonnage radiométrique
[Termes IGN] image EO1-Hyperion
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Terra-MODIS
[Termes IGN] Libye
[Termes IGN] réflectance spectraleRésumé : (Auteur) In recent years, there has been a significant increase in the use of remotely sensed data to address global issues. With the open data policy, the data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Enhanced Thematic Mapper Plus (ETM+) sensors have become a critical component of numerous applications. These two sensors have been operational for more than a decade, providing a rich archive of multispectral imagery for analysis of mutitemporal remote sensing data. This paper focuses on evaluating the radiometric calibration agreement between MODIS and ETM+ using the near-simultaneous and cloud-free image pairs over an African pseudo-invariant calibration site, Libya 4. To account for the combined uncertainties in the top-of-atmosphere (TOA) reflectance due to surface and atmospheric bidirectional reflectance distribution function (BRDF), a semiempirical BRDF model was adopted to normalize the TOA reflectance to the same illumination and viewing geometry. In addition, the spectra from the Earth Observing-1 (EO-1) Hyperion were used to compute spectral corrections between the corresponding MODIS and ETM+ spectral bands. As EO-1 Hyperion scenes were not available for all MODIS and ETM+ data pairs, MODerate resolution atmospheric TRANsmission (MODTRAN) 5.0 simulations were also used to adjust for differences due to the presence or lack of absorption features in some of the bands. A MODIS split-window algorithm provides the atmospheric water vapor column abundance during the overpasses for the MODTRAN simulations. Additionally, the column atmospheric water vapor content during the overpass was retrieved using the MODIS precipitable water vapor product. After performing these adjustments, the radiometric cross-calibration of the two sensors was consistent to within 7%. Some drifts in the response of the bands are evident, with MODIS band 3 being the largest of about 6% over 10 years, a change that will be corrected in Collection 6 MODIS processing. Numéro de notice : A2013-210 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2235448 En ligne : https://doi.org/10.1109/TGRS.2012.2235448 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32348
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 4 Tome 1 (April 2013) . - pp 1870 - 1882[article]On the degree of polarization for SAR sea oil slick observation / Ferdinando Nunziata in ISPRS Journal of photogrammetry and remote sensing, vol 78 (April 2013)
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Titre : On the degree of polarization for SAR sea oil slick observation Type de document : Article/Communication Auteurs : Ferdinando Nunziata, Auteur ; Attilio Gambardella, Auteur ; Maurizio Migliaccio, Auteur Année de publication : 2013 Article en page(s) : pp 41 - 49 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] image radar
[Termes IGN] pétrole
[Termes IGN] polarimétrie radar
[Termes IGN] polarisation
[Termes IGN] pollution des mersRésumé : (Auteur) A polarimetric model to relate the degree of polarization, DoP, to the sea surface scattering with and without oil slicks, under low-to-moderate wind conditions, is proposed. DoP, measured directly from the Mueller scattering matrix, is shown to be a reliable measure of the departure from Bragg scattering; a phenomenon that, under low-to-moderate wind conditions, occurs when an oil slick is present. Following this theoretical rationale, a simple filter is developed to observe oil slicks in quad-polarimetric full-resolution Synthetic Aperture Radar (SAR) data. Experiments, undertaken on a meaningful set of quad-polarization Single Look Complex (SLC) C-band RADARSAT-2 SAR data, where both well-known oil slicks and a weak-damping look-alike are in place, demonstrate the soundness of the model and its effectiveness from an operational viewpoint. Numéro de notice : A2013-178 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.12.007 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.12.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32316
in ISPRS Journal of photogrammetry and remote sensing > vol 78 (April 2013) . - pp 41 - 49[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013041 RAB Revue Centre de documentation En réserve L003 Disponible Quality assessment of cloud-top height estimates from satellite IR radiances using the CALIPSO Lidar / Sabatino, Di Michele in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 2 (April 2013)
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Titre : Quality assessment of cloud-top height estimates from satellite IR radiances using the CALIPSO Lidar Type de document : Article/Communication Auteurs : Sabatino, Di Michele, Auteur ; Tony Mcnally, Auteur ; Peter Bauer, Auteur ; Iliana Genkova, Auteur Année de publication : 2013 Article en page(s) : pp 2454 - 2464 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Atmospheric Infrared Sounder
[Termes IGN] CALIPSO
[Termes IGN] détection des nuages
[Termes IGN] données lidar
[Termes IGN] estimation de précision
[Termes IGN] radianceRésumé : (Auteur) This paper summarizes the studies performed using data from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) to verify cloud variables in the context of the European Centre for Medium-Range Weather Forecasts assimilation system. In the first part of this paper, the cloud-top height (CTH) derived from the Atmospheric Infrared Sounder (AIRS) radiances has been compared with the same quantity from CALIPSO exploiting the spatial and temporal coincidence guaranteed by the A-Train constellation. In the second part, the CTH from CALIPSO has been used to verify the wind height assignment (HA) for the atmospheric motion vectors (AMVs) derived from Meteosat geostationary cloudy radiances. Two different estimates from AIRS have been considered: one derived from the cloud detection scheme and the other used within the assimilation of infrared (IR) cloudy radiances. The verification of cloud detection for hyperspectral IR sounders has revealed some difficulties with cirrus clouds. The verification of CTH for the assimilation of IR cloudy radiances has shown a reasonable agreement when the lidar signal is fully attenuated but a larger scatter in other conditions. The verification of AMV HA revealed an overall tendency to produce CTHs lower than CALIPSO for high clouds and the opposite for low clouds. Interestingly, a similar behavior was observed in the validation of CTHs for the assimilation of IR cloudy radiances. Numéro de notice : A2013-226 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2210721 En ligne : https://doi.org/10.1109/TGRS.2012.2210721 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32364
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 4 Tome 2 (April 2013) . - pp 2454 - 2464[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013041B RAB Revue Centre de documentation En réserve L003 Disponible 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)
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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 Stem volume and above-ground biomass estimation of individual pine trees from LiDAR data: contribution of full-waveform signals / Tristan Allouis in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol 6 n° 2 part 3 (April 2013)
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Titre : Stem volume and above-ground biomass estimation of individual pine trees from LiDAR data: contribution of full-waveform signals Type de document : Article/Communication Auteurs : Tristan Allouis, Auteur ; Sylvie Durrieu, Auteur ; Cédric Vega , Auteur ; Pierre Couteron, Auteur
Année de publication : 2013 Article en page(s) : pp 924 - 934 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] biomasse aérienne
[Termes IGN] carte de la végétation
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] estimation statistique
[Termes IGN] forme d'onde pleine
[Termes IGN] modèle mathématique
[Termes IGN] Pinus (genre)
[Termes IGN] signal lidar
[Termes IGN] volume en boisRésumé : (auteur) The diameter at breast height (DBH) is the most extensively measured parameter in the field for estimating stem volume and aboveground biomass of individual trees. However, DBH can not be measured from airborne or spaceborne light detection and ranging (LiDAR) data. Consequently, volume and biomass must be estimated from LiDAR data using other tree metrics. The objective of this paper is to examine whether full-waveform (FW) LiDAR data can improve volume and biomass estimation of individual pine trees, when compared to usual discrete-return LiDAR data. Sets of metrics are derived from canopy height model (CHM-only metrics), from the vertical distribution of discrete-returns (CHM+DR metrics), and from full-waveform LiDAR data (CHM+FW metrics). In each set, the most relevant and non-collinear metrics were selected using a combination of methods using best subset and variance inflation factor, in order to produce predictive models of volume and biomass. CHM-only metrics (tree height and tree bounding volume [tree height x crown area] provided volume and biomass estimates of individual trees with an error (mean error ± standard deviation) of 2% ± 26% and -15% ±49%, which is equivalent to previous studies. CHM+FW metrics did not improve stem volume estimates (5% ± 31%), but they increased the accuracy of aboveground biomass estimates ( -4%±31%). The approach is limited by the delineation of individual trees. However, the results highlight the potential of full-waveform LiDAR data to improve aboveground biomass estimates through a better integration of branch and leaf biomass than with discrete-return LiDAR data. Numéro de notice : A2013-053 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/JSTARS.2012.2211863 Date de publication en ligne : 27/09/2012 En ligne : http://doi.org/10.1109/JSTARS.2012.2211863 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84586
in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing > vol 6 n° 2 part 3 (April 2013) . - pp 924 - 934[article]Are numerical weather model outputs helpful to reduce tropospheric delay signals in InSAR data? / Youhei Kinoshita in Journal of geodesy, vol 87 n° 3 (March 2013)
PermalinkAssessment of spectral, misregistration, and spatial uncertainties inherent in the cross-calibration study / Gyanesh Chander in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 1 (March 2013)
PermalinkAutomated detection of arbitrarily shaped buildings in complex environments from monocular VHR optical satellite imagery / Ali Ozgun Ok in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 2 (March 2013)
PermalinkGSICS inter-calibration of infrared channels of geostationary imagers using Metop-IASI / Tim J. Hewison in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 1 (March 2013)
PermalinkImproved geolocation and Earth incidence angle information for a fundamental climate data record of the SSM/I sensors / Wesley Berg in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 1 (March 2013)
PermalinkIn-situ transfer standard and coincident-view intercomparisons for sensor cross-calibration / Kurt Thome in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 1 (March 2013)
PermalinkLand cover dependant error intermap IFSAR DTM: Lidar comparison and fusion potential / S. Coveney in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 3 (March 2013)
PermalinkMaintaining the long-term calibration of the Jason-2/OSTM advanced microwave radiometer through intersatellite calibration / Shannon Brown in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 1 (March 2013)
PermalinkSampling piecewise convex unmixing and endmember extraction / Alina Zare in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 2 (March 2013)
PermalinkSpectral compatibility of the NDVI across VIIRS, MODIS, and AVHRR: An analysis of atmospheric effects using EO-1 Hyperion / Tomoaki Miura in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 1 (March 2013)
PermalinkSpectral response function comparability among 21 satellite sensors for vegetation monitoring / Alemu Gonsamo in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 1 (March 2013)
PermalinkA graph-based classification method for hyperspectral images / J. Bai in IEEE Transactions on geoscience and remote sensing, vol 51 n° 2 (February 2013)
PermalinkMitigating the impact of ionospheric cycle slips in GNSS observations / Simon Banville in Journal of geodesy, vol 87 n° 2 (February 2013)
PermalinkNew approaches for estimating local point density and its impact on lidar data segmentation / Z. Lari in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 2 (February 2013)
PermalinkSingle-receiver single-channel multi-frequency GNSS integrity: outliers, slips, and ionospheric disturbances / Peter J.G. Teunissen in Journal of geodesy, vol 87 n° 2 (February 2013)
PermalinkSpectral material mapping using hyperspectral imagery : a review of spectral matching and library search methods / Sennaraj Vishnu in Geocarto international, vol 28 n° 1-2 (February - May 2013)
PermalinkAirborne GNSS-R wind retrievals using delay–Doppler maps / N. Rodriguez-Alvarez in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 2 (January 2013)
PermalinkApport du système de navigation GLONASS à la surveillance de l'ionosphère au dessus de l'Europe / Emilie Pelletier (2013)
PermalinkContribution of texture and red-edge band for vegetated areas detection and identification / Arnaud Le Bris (2013)
PermalinkDirectionally adaptive filter for synthetic aperture radar interferometric phase images / S. Fu in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 2 (January 2013)
PermalinkE-GVAP, un proyecto europeo meteorológico con GNSS. Participación del IGN / Marcelino Valdés Pérez de Vargas in Topografia y cartografia, vol 28 n° 165 (2013)
PermalinkPermalinkEuroSDR project Commission 1, Radiometric aspects of digital photogrammetric images / Eija Honkavaara (2013)
PermalinkEvaluation de l'apport de la télédétection radar pour la cartographie des végétations dans le Parc du Pilat / Cécile Cazals (2013)
PermalinkGalileo IOV-3 broadcasts E1, E5, E6 signals / Oliver Montenbruck in GPS world, vol 24 n° 1 (January 2013)
PermalinkImprovement of stepped-frequency continuous wave Ground-Penetrating Radar cross-range resolution / I. Nicolaescu in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 1 (January 2013)
PermalinkJoint estimation of moving target reflectivity and velocity via AT-InSAR systems based on complex interferometric data / Alessandra Budillon in ISPRS Journal of photogrammetry and remote sensing, vol 75 (January 2013)
PermalinkMapping the distribution of ferric iron minerals on a vertical mine face using derivative analysis of hyperspectral imagery (430–970 nm) / R. Murphy in ISPRS Journal of photogrammetry and remote sensing, vol 75 (January 2013)
PermalinkMaterial reflectance retrieval in urban tree shadows with physics-based empirical atmospheric correction / Karine R.M. Adeline (2013)
PermalinkPermalinkA new technique using infrared satellite measurements to improve the accuracy of the CALIPSO cloud-aerosol discrimination method / A. Naeger in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 2 (January 2013)
PermalinkSemisupervised learning of hyperspectral data with unknown land-cover classes / G. Jun in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 1 (January 2013)
PermalinkPermalinkTopographic and thermal mapping of volcanic terrain using the AVTIS ground-based 94-GHz dual-mode radar/radiometric imager / D. Macfarlane in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 2 (January 2013)
PermalinkTree species discrimination in tropical forests using airborne imaging spectroscopy / Jean-Baptiste Féret in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 1 (January 2013)
PermalinkPermalinkAbsolute radiometric calibration of Earth radiation measurement on FY-3B and its comparison with CERES-Aqua data / H. Qiu in IEEE Transactions on geoscience and remote sensing, vol 50 n° 12 (December 2012)
PermalinkApports des données ALOS PALSAR polarimétriques à la détection des zones humides littorales (Sassandra, Côte d'Ivoire) / Kouakou Hervé Kouassi in Photo interprétation, European journal of applied remote sensing, vol 48 n° 4 (décembre 2012)
PermalinkCross-calibration of the total ozone unit (TOU) with the ozone monitoring instrument (OMI) and SBUV/2 for environmental applications / W. Wang in IEEE Transactions on geoscience and remote sensing, vol 50 n° 12 (December 2012)
PermalinkOverview of FY-3 payload and ground application system / Z. Yang in IEEE Transactions on geoscience and remote sensing, vol 50 n° 12 (December 2012)
PermalinkA semi-analytical model for multitemporal prediction of chlorophyll-a in an Iowa lake using Hyperion data / R. Sugumaran in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 12 (December 2012)
PermalinkThe spatial prediction of tree species diversity in savanna woodlands of Southern Africa / G. Mutowo in Geocarto international, vol 27 n° 8 (December 2012)
Permalink3D coseismic displacement of 2010 Darfield, New Zealand earthquake estimated from multi-aperture InSAR and D-InSAR measurements / J. Hu in Journal of geodesy, vol 86 n° 11 (November 2012)
PermalinkBuilt-up and vegetation extraction and density mapping using WorldView-II / A. Kumar in Geocarto international, vol 27 n° 7 (November 2012)
PermalinkHYPXIM, an innovative spectroimager for science, security and defence requirements / M.J. Lefevre-Fonollosa in Revue Française de Photogrammétrie et de Télédétection, n° 200 (Novembre 2012)
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