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Savannah woody structure modelling and mapping using multi-frequency (X-, C- and L-band) Synthetic Aperture Radar data / Laven Naidoo in ISPRS Journal of photogrammetry and remote sensing, vol 105 (July 2015)
[article]
Titre : Savannah woody structure modelling and mapping using multi-frequency (X-, C- and L-band) Synthetic Aperture Radar data Type de document : Article/Communication Auteurs : Laven Naidoo, Auteur ; Renaud Mathieu, Auteur ; Russell Main, Auteur ; Waldo Kleynhans, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 234 - 250 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] Afrique du sud (état)
[Termes IGN] bande C
[Termes IGN] bande L
[Termes IGN] bande X
[Termes IGN] biomasse
[Termes IGN] canopée
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image radar moirée
[Termes IGN] image Radarsat
[Termes IGN] image TerraSAR-X
[Termes IGN] savaneRésumé : (auteur) Structural parameters of the woody component in African savannahs provide estimates of carbon stocks that are vital to the understanding of fuelwood reserves, which is the primary source of energy for 90% of households in South Africa (80% in Sub-Saharan Africa) and are at risk of over utilisation. The woody component can be characterised by various quantifiable woody structural parameters, such as tree cover, tree height, above ground biomass (AGB) or canopy volume, each been useful for different purposes. In contrast to the limited spatial coverage of ground-based approaches, remote sensing has the ability to sense the high spatio-temporal variability of e.g. woody canopy height, cover and biomass, as well as species diversity and phenological status – a defining but challenging set of characteristics typical of African savannahs. Active remote sensing systems (e.g. Light Detection and Ranging – LiDAR; Synthetic Aperture Radar – SAR), on the other hand, may be more effective in quantifying the savannah woody component because of their ability to sense within-canopy properties of the vegetation and its insensitivity to atmosphere and clouds and shadows. Additionally, the various components of a particular target’s structure can be sensed differently with SAR depending on the frequency or wavelength of the sensor being utilised. This study sought to test and compare the accuracy of modelling, in a Random Forest machine learning environment, woody above ground biomass (AGB), canopy cover (CC) and total canopy volume (TCV) in South African savannahs using a combination of X-band (TerraSAR-X), C-band (RADARSAT-2) and L-band (ALOS PALSAR) radar datasets. Training and validation data were derived from airborne LiDAR data to evaluate the SAR modelling accuracies. It was concluded that the L-band SAR frequency was more effective in the modelling of the CC (coefficient of determination or R2 of 0.77), TCV (R2 of 0.79) and AGB (R2 of 0.78) metrics in Southern African savannahs than the shorter wavelengths (X- and C-band) both as individual and combined (X + C-band) datasets. The addition of the shortest wavelengths also did not assist in the overall reduction of prediction error across different vegetation conditions (e.g. dense forested conditions, the dense shrubby layer and sparsely vegetated conditions). Although the integration of all three frequencies (X + C + L-band) yielded the best overall results for all three metrics (R2 = 0.83 for CC and AGB and R2 = 0.85 for TCV), the improvements were noticeable but marginal in comparison to the L-band alone. The results, thus, do not warrant the acquisition of all three SAR frequency datasets for tree structure monitoring in this environment. Numéro de notice : A2015-713 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.04.007 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.04.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78353
in ISPRS Journal of photogrammetry and remote sensing > vol 105 (July 2015) . - pp 234 - 250[article]Evaluation and comparison of different radargrammetric approaches for Digital Surface Models generation from COSMO-SkyMed, TerraSAR-X, RADARSAT-2 imagery: Analysis of Beauport (Canada) test site / P. Capaldo in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)
[article]
Titre : Evaluation and comparison of different radargrammetric approaches for Digital Surface Models generation from COSMO-SkyMed, TerraSAR-X, RADARSAT-2 imagery: Analysis of Beauport (Canada) test site Type de document : Article/Communication Auteurs : P. Capaldo, Auteur ; Andrea Nascetti, Auteur ; Martina Porfiri, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 60 - 70 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse comparative
[Termes IGN] évaluation des données
[Termes IGN] Geomatica (logiciel)
[Termes IGN] image Cosmo-Skymed
[Termes IGN] image radar moirée
[Termes IGN] image Radarsat
[Termes IGN] image TerraSAR-X
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] modèle numérique de surface
[Termes IGN] orbite
[Termes IGN] orientation
[Termes IGN] orientation du capteur
[Termes IGN] radargrammétrie
[Termes IGN] SISARRésumé : (auteur) In this manuscript, we analyze the potentialities of the radargrammetric DSMs generation using high resolution SAR imagery acquired by three different platforms (COSMO-SkyMed, TerraSAR-X and RADARSAT-2), with particular attention to geometric orientation models. Two orientation models are considered and compared: Toutin’s model (Canada Center for Remote Sensing), implemented in the commercial software package PCI-Geomatica and based on Ground Control Points (GCPs), and the radargrammetric model implemented in the scientific software SISAR (University of Rome La Sapienza), based on images metadata orbital information only. Moreover, a comparison between the DSMs following the image matching approaches implemented in PCI-Geomatica and SISAR has been performed. The analysis has been carried out over Beauport test site (Quebec, Canada), where three overlapping stereopairs, one for each of the mentioned platform, were acquired and a LiDAR ground truth and a dense set of GNSS Check points (CPs) are available. The presented results appear promising: DSMs accuracy are within 4 and 5 m for all sensors, independently from orientation model (with or without GCP) and image matching approach, provided good relative orientation is guaranteed, what mainly attains to the quality of metadata orbital information. Numéro de notice : A2015-054 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.05.007 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.05.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75287
in ISPRS Journal of photogrammetry and remote sensing > vol 100 (February 2015) . - pp 60 - 70[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2015021 RAB Revue Centre de documentation En réserve L003 Disponible Measuring thermal expansion using X-band persistent scatterer interferometry / Michele Crosetto in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)
[article]
Titre : Measuring thermal expansion using X-band persistent scatterer interferometry Type de document : Article/Communication Auteurs : Michele Crosetto, Auteur ; Oriol Montserrat, Auteur ; María Cuevas-González, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 84 - 91 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande Ku
[Termes IGN] bande X
[Termes IGN] bati
[Termes IGN] bâtiment industriel
[Termes IGN] coin réflecteur
[Termes IGN] émission thermique
[Termes IGN] fuite thermique
[Termes IGN] image TerraSAR-X
[Termes IGN] interférométrie
[Termes IGN] interferométrie différentielle
[Termes IGN] tour (bâtiment)
[Termes IGN] viaducRésumé : (auteur) This paper is focused on the estimation of the thermal expansion of buildings and infrastructures using X-band Persistent Scatterer Interferometry (PSI) observations. For this purpose, an extended PSI model is used, which allows separating the thermal expansion from the total observed deformation thus generating a new PSI product: the map of the thermal expansion parameter, named thermal map. The core of the paper is devoted to the exploitation of the information contained in the thermal maps: three examples are discussed in detail, which concern a viaduct, a set of industrial buildings and two skyscrapers. The thermal maps can be used to derive the thermal expansion coefficient of the observed objects and information on their static structure. In addition, the paper illustrates the distortions in the PSI deformation products that occur if the thermal expansion is not explicitly modelled. Finally, an inter-comparison exercise is described, where the thermal expansion coefficients estimated by PSI are compared with those derived by a Ku-band ground-based SAR campaign. Numéro de notice : A2015-055 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.05.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.05.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75297
in ISPRS Journal of photogrammetry and remote sensing > vol 100 (February 2015) . - pp 84 - 91[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2015021 RAB Revue Centre de documentation En réserve L003 Disponible Contribution of textural information from TerraSAR-X image for forest mapping / Cécile Cazals (2015)
Titre : Contribution of textural information from TerraSAR-X image for forest mapping Type de document : Article/Communication Auteurs : Cécile Cazals , Auteur ; H. Benelcadi, Auteur ; Pierre-Louis Frison , Auteur ; Grégoire Mercier, Auteur ; Cédric Lardeux, Auteur ; Nesrine Chehata , Auteur ; I. Champion, Auteur ; Jean-Paul Rudant , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2015 Conférence : IGARSS 2015, International Geoscience And Remote Sensing Symposium 26/07/2015 31/07/2015 Milan Italie Proceedings IEEE Importance : pp 549 - 552 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse discriminante
[Termes IGN] analyse texturale
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] forêt
[Termes IGN] image radar moirée
[Termes IGN] image TerraSAR-XRésumé : (auteur) This study evaluates the potential of High Resolution Spotlight TerraSAR-X image for forest type discrimination. Emphasis is put on textural analysis accessible with high resolution radar data. Textural attributes are extracted from GLCM matrices, wavelet, and Fourier Transform (i.e. FOTO method). Their contribution for classification is assessed by their performance through the SVM algorithm. Numéro de notice : C2015-058 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IGARSS.2015.7325822 Date de publication en ligne : 12/11/2015 En ligne : http://dx.doi.org/10.1109/IGARSS.2015.7325822 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91805 Depth, anisotropy, and water equivalent of snow estimated by radar interferometry and polarimetry / Silvan Leinss (2015)
Titre : Depth, anisotropy, and water equivalent of snow estimated by radar interferometry and polarimetry Type de document : Thèse/HDR Auteurs : Silvan Leinss, Auteur Editeur : Zurich : Eidgenossische Technische Hochschule ETH - Ecole Polytechnique Fédérale de Zurich EPFZ Année de publication : 2015 Collection : Dissertationen ETH num. 23093 Importance : 243 p. Format : 21 x 30 cm Note générale : bibliographie
A thesis submitted to attain the degree of doctor of sciences of ETH ZurichLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] anisotropie
[Termes IGN] image TerraSAR-X
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] MNS TerraSAR & TanDEM-X
[Termes IGN] neige
[Termes IGN] polarimétrie radarRésumé : (auteur) Snow contributes to the water supply of almost one-sixth of the world's population and has a strong influence on the energy balance of the earth. Snow provides water for life but also threatens life in the form of avalanches and flooding due to snow melt. Most of the world's snow cover is located in remote and inaccessible regions, therefore large-scale snow monitoring is only possible with remote sensing techniques. In the entire electromagnetic spectrum, ranging from kilometer long radio waves to ultrashort gamma waves, only three atmospheric spectral windows exit through which satellites can observe the surface of the earth. Two of them, the optical and the infrared window, are often blocked by clouds or atmospheric water vapor. Visible or infrared light, which is reflected at the snow surface, is difficult to be used for derivation of any volumetric information of the snow pack. Active and passive microwave systems, which operate in the radio window, have the potential to obtain volumetric information of snow because microwaves can penetrate the snow cover. The aim of this thesis is to determine snow properties, like snow depth, snow anisotropy, and snow water equivalent, by analyzing phase differences of radar signals reflected from snow covered regions. Current radar systems provide not only the backscatter intensity of an object, but also an object-specific scattering phase. The phase contains information about object properties as well as accurate information about the propagation delay time. In this thesis, phase differences resulting from propagation delays are analyzed with respect to different polarizations, observation times and observation geometries. Based on polarimetric phase differences, a method to determine the depth of fresh snow was developed. The copolar phase difference (CPD) obtained from radar images acquired with vertically and horizontally polarized microwaves by the satellites TerraSAR-X and TanDEM-X were analyzed. Positive phase differences could be explained by a horizontal anisotropy in fresh snow, which results from snow settling. As the phase difference is a volumetric property, the magnitude of the phase difference is roughly proportional to the depth of fresh snow. The validation with snow depth measurements on the ground show that the spatial variability of the depth of fresh snow can be determined with a resolution below 100 m with space-borne sensors like TerraSAR-X. Cold temperatures have been found to decrease observed phase differences due to temperature gradient metamorphism. The observed relation between the CPD and fresh snow, snow settling, and temperature gradient metamorphism provides a contact-less and destruction-free tool to observe the anisotropy, which is a metamorphic state of snow. The measurable dielectric anisotropy is directly linked to the structural anisotropy of snow which is responsible for the mechanical stability as well as the thermal conductivity of the snow pack. This makes the anisotropy relevant for the energy balance of snow and snow covered soil. In order to measure the anisotropy, a rigorous electromagnetic model was developed which provides a parameter free link between three-dimensional two-point correlation functions of the microstructure of snow, the effective permittivity tensor, and the macroscopically measured copolar phase difference. For verification of the model, four years of ground-based radar data, acquired by the SnowScat instrument in Sodankylä, Finland, were analyzed with respect to the frequency and incidence angle dependence of the copolar phase. Computer tomography data were used for validation of the anisotropy determined from the copolar phase difference measured by SnowScat. The unique dataset of the currently longest time series of anisotropy measurements provides a new basis for improvement of existing snow models. Four years of anisotropy data were used to develop and validate a thermodynamic snow model based on meteorological input data. The model consists of three terms which describe snow settling, temperature gradient metamorphism, and relaxation based on isotropic water vapor transport. The model was calibrated by balancing the three terms in order to reproduce the measured anisotropy time series. The results of the model, vertically resolved anisotropy pro les of the snow pack, were validated with anisotropy pro les determined by computer tomography. In comparison to the anisotropy, which determines specific properties of the snow volume, the snow water equivalent (SWE) determines how much water is stored in the snow pack. Differential interferometry, where the phase difference of two radar acquisitions separated by a certain time is analyzed, is a promising tool to determine SWE. However, temporal decorrelation of the phase signal is a major drawback of this technique. A decorrelation time of a few days has been observed in space-borne acquisitions from TerraSAR-X which prevents any successful SWE determination. However, using SnowScat as a ground based radar interferometer, it was possible for the first time to measure the accumulation of SWE during four entire winter seasons. A multi-frequency phase unwrapping technique was used for reconstruction of phase wraps which occurred due to intense snow precipitation. The study was performed at exceptionally high frequencies in the X- and Ku-band and with a very high temporal resolution of only 4 hours. The successful demonstration of differential interferometry to determine SWE raises hope to apply the demonstrated technique on data of future radar satellites which operate at longer repeat times of a few days and lower frequencies of a few GHz. Both methods, the CPD analysis as well as differential interferometry, cannot be vi applied for wet snow. Microwave penetration into wet snow is generally small and most of the reflected energy results from scattering at the snow surface. This is interesting for single-pass SAR interferometry, where phase differences are compared, which are measured by two SAR-sensors which simultaneously observe the same scene with slightly different angles. Single-pass SAR interferometry can provide accurate surface models at a horizontal resolution of a few meters. The difference between two digital elevation models (DEM), one obtained during snow free conditions and one obtained during the onset of snow melt, can therefore provide direct information about snow depth. DEM differencing was applied on TanDEM-X acquisitions from spring and autumn and snow depths maps were obtained which agree with the snow- depth-maps provided by the Institute for Snow and Avalanche Research, SLF. A key requirement for successful snow depth estimation is that the snow surface can be recognized as wet. As the backscatter intensity decreases significantly during snow melt, wet snow detection is straight forward and the total accumulated snow depth of wet spring snow can be determined. This thesis shows that the analysis of the phase signal contained in radar acquisitions provides a broad spectrum of information about the snow pack. The developed method for anisotropy determination provides not only a unique opportunity to improve snow models, but also a method to globally sense the metamorphic state of snow. The currently longest radar-derived time series of SWE measurements raise hope to apply differential interferometry for global SWE determination of dry snow. The shown accuracy for snow depth determination from high frequency, interferometric, single-pass SAR systems demonstrates that such systems are important missions for monitoring changes in snow depth and ice thickness in remote alpine and polar regions in order monitor changes of the global distribution of fresh water stored in the form of ice or snow. Numéro de notice : 17199 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Note de thèse : doctoral thesis : Sciences : ETH Zurich : 2015 En ligne : http://dx.doi.org/10.3929/ethz-a-010603517 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81170 Estimating forest biomass from TerraSAR-X stripmap radargrammetry / Svein Solberg in IEEE Transactions on geoscience and remote sensing, vol 53 n° 1 (January 2015)PermalinkAssessment of interferometric DEMs from TerraSAR-X stripmap and spotlight stereopairs: case study in Istanbul / G. Seferick Umut in Photogrammetric record, vol 29 n° 146 (June - August 2014)PermalinkSAR image categorization with log cumulants of the fractional Fourier transform coefficients / Jagmal Singh in IEEE Transactions on geoscience and remote sensing, vol 51 n° 12 (December 2013)PermalinkGlacier surface velocity estimation using repeat TerraSAR-X images: Wavelet- vs. correlation-based image matching / Adrian Schubert in ISPRS Journal of photogrammetry and remote sensing, vol 82 (August 2013)PermalinkInformation content of very high resolution SAR images: study of feature extraction and imaging parameters / Corneliu Dimitru in IEEE Transactions on geoscience and remote sensing, vol 51 n° 8 (August 2013)PermalinkA new polarimetric change detector in radar imagery / Armando Marino in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 2 (May 2013)PermalinkA change detection approach to flood mapping in urban areas using TerraSAR-X / Laura Giustrarini in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 2 (April 2013)PermalinkDetecting depolarized targets using a new geometrical perturbation filter / Armando Marino in IEEE Transactions on geoscience and remote sensing, vol 50 n° 10 Tome 1 (October 2012)PermalinkGrouping of Persistent Scatterers in high-resolution SAR data of urban scenes / A. Schunert in ISPRS Journal of photogrammetry and remote sensing, vol 73 (September 2012)PermalinkRetrieval of phase history parameters from distributed scatterers in urban areas using very high resolution SAR data / Y. Wang in ISPRS Journal of photogrammetry and remote sensing, vol 73 (September 2012)PermalinkNear real-time flood detection in urban and rural areas using high-resolution synthetic aperture radar images / D.C. Mason in IEEE Transactions on geoscience and remote sensing, vol 50 n° 8 (August 2012)PermalinkTOPS interferometry with TerraSAR-X / Pau Prats-Iraola in IEEE Transactions on geoscience and remote sensing, vol 50 n° 8 (August 2012)PermalinkApport des données TerraSar-X pour le suivi de l'activité du Piton de la Fournaise / J.L. Froger in Revue Française de Photogrammétrie et de Télédétection, n° 197 (Juin 2012)Permalinkn° 197 - Juin 2012 - Kalideos, des images pour la science (Bulletin de Revue Française de Photogrammétrie et de Télédétection) / Société française de photogrammétrie et de télédétectionPermalinkUtilisation de l'imagerie radar TerraSar-X THRS pour le suivi de la coupe de canne à sucre à l'île de la Réunion / Nicolas Baghdadi in Revue Française de Photogrammétrie et de Télédétection, n° 197 (Juin 2012)PermalinkEvaluation of bayesian despeckling and texture extraction methods based on Gauss–Markov and auto-binomial gibbs random fields: Application to TerraSAR-X data / D. Espinoza Molina in IEEE Transactions on geoscience and remote sensing, vol 50 n° 5 Tome 2 (May 2012)PermalinkMitigation of atmospheric perturbations and solid Earth movements in a TerraSAR-X time-series / D. Small in Journal of geodesy, vol 86 n° 4 (April 2012)PermalinkCharacterization of Arctic sea ice thickness using high-resolution spaceborne polarimetric SAR data / J.W. Kim in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)PermalinkExtracting precise and affordable DEMs despite of the clouds. Ajax: the joining of radar and optical strengths / Laurent Cunin (2012)PermalinkGénération et qualification de modèles numériques de surface de haute résolution spatiale par interférométrie radar à synthèse d'ouverture / Paul Landel (2012)Permalink