Nous avons utilisé deux techniques de géodésie spatiale (Global Navigation Satellite System, GNSS, et Interférométrie d'images radar satellite, InSAR) pour estimer la cinématique actuelle et les taux de glissement de la plupart des failles de l'Est et du Nord-Est de l'Iran. En Iran de l'Est, 14 mm/an de cisaillement dextre est accommodé sur les failles décrochantes dextres Est-Lut, West-Lut, Kuhbanan, Anar et Dehshir. Ces failles glissent latéralement à 5.6 ± 0.6, 4.4 ± 0.4, 3.6 ± 1.3, 2.0 ± 0.7 et 1.4 ± 0.9 mm/an, respectivement, de l'est à l'ouest. Au nord de ces failles, nos vitesses GNSS suggèrent une rotation de block rigide du bassin Sud Caspien (SCB) autour d'un pôle qui se trouve plus loin qu'on ne le pensait précédemment. Ce mouvement NW de SCB implique un glissement dextre de jusqu'à 7 mm/an sur la faille Ashkabad, et jusqu'à 4-6 mm/an de glissement senestre à travers le système des failles de Shahroud (SFS). L'analyse InSAR en séries temporelles localise 4.75 ± 0.5 mm/an de glissement senestre plus spécifiquement sur les failles d'Abr et Jajarm.

Le système de failles de Haiyuan qui borde le plateau du Tibet au Nord-Est est un système majeur sénestre. Au cours du dernier siècle, deux grands séismes (M~8) ont rompu ce système de failles: le séisme de Haiyuan en 1920 et le séisme de Gulang en 1927. A l'aide d'interférométrie radar à synthèse d'ouverture, nous analysons les variations spatiales et temporelles de la déformation intersismique au travers de la faille de Haiyuan, dans une zone étendue (150x150 km2) qui couvre l'extrémité Ouest de la rupture de 1920 et la lacune sismique de Tianzhu. Avec une approche dite en Small Baseline, nous traitons cinq séries temporelles d'images SAR, acquises par le satellite Envisat le long de tracks descendantes et ascendantes pendant la période allant de 2003 à 2009. Les cartes de vitesse moyenne de déformation dans la ligne de visée du satellite ainsi obtenues sont cohérentes avec un mouvement sénestre au travers de la faille et montrent des variations latérales du gradient de vitesse dans la zone de faille. Nous inversons ces cartes de vitesse moyenne en LOS pour obtenir le taux de chargement à court terme en profondeur et la distribution du glissement dans la partie sismogène le long du plan de faille. Le taux de chargement en profondeur est d'environ 5mm/an. Les sections de faille ayant rompu en 1920 et une grande partie de la lacune sismique de Tianzhu sont bloquées en surface. Entre ces deux sections, un segment de 35 km de long, qui montre une forte activité micro-sismique, glisse de manière asismique avec un taux de glissement horizontal qui atteint presque 5 mm/an. Cependant, le taux de glissement asismique le long de la partie sismogène varie le long du plan de faille et atteint localement des taux supérieurs au chargement tectonique, suggérant des variations temporelles du glissement asismique. La comparaison de profils moyens de vitesse parallèle à la faille issus de données InSAR sur les périodes 1993-1998 (données ERS) et 2003-2009 suggèrent une migration vers la surface du glissement asismique sur une période de 20~ans. Une analyse en séries temporelles des données Envisat, en appliquant un lissage temporel, montrent une accélération du taux de glissement asismique pendant l'année 2007. Cette accélération est précédée et a probablement été déclenchée par un séisme de magnitude 4.7 au sein même du glissement asismique. Enfin, nous étudions la relation entre l'évolution spatio-temporelle du glissement asismique en surface et la rugosité de la trace de la faille à l'aide d'une analyse multi-échelle. Nous montrons que les propriétés élastiques de la croûte cassante contrôlent la rugosité de la faille, qui exerce à son tour un contrôle sur la distribution de glissement asismique en surface. Le glissement asismique est fait de spasmes qui interagissent les uns avec les autres en suivant une loi d'échelle similaire à la loi de Gutenberg-Richter pour les séismes.

Persistent Scatterer Interferometric techniques are very powerful geodetic tools for land deformation monitoring that offer the typical advantages of the satellite remote sensing SAR (Synthetic Aperture Radar) systems : a wide coverage at a relatively high resolution. Those techniques are based on the analysis of a set of SAR images acquired over a given area. They overcome the decorrelation problem by identifying elements (in resolution cells) with a high quality returned SAR signal which remains stable in a series of interferograms. These techniques have been useful for the analysis of urban areas, where man-made objects produce good reflections that dominate over the background scattering, as well as in field areas where the density of infrastructures is more limited. Typically, PSI technique requires an approximate a priori temporal model for the detection of the deformation, even though characterizing the temporal evolution of a deformation is commonly one of the objectives of any study.This work is focused on a particular PSI technique, which is named Stable Point Network (SPN) and that it has been completely developed by Altamira Information in 2003. The work concisely outlines the main characteristics of this technique, and describes its main products: average deformation maps, deformation time series of the measured points, and the so-called maps of the residual topographic error, which are used to precisely geocode the PSI products. The main objectives of this PhD are the identification and analysis of the drawbacks of this processing chain, and the development of new tools and methodologies in order to overcome them. First, the performances of the SPN technique are examined and illustrated by means of practical cases (based on real test sites made with data coming from different sensors) and simulated scenarios.Thus, the main drawbacks of the technique are identified and discussed, such as the lack of automatic quality control parameters, the evaluation of the input data quality, the selection of good points for the measurements and the use of a functional model to unwrap the phases based on a linear deformation trend in time. Then, different enhancements are proposed. In particular, the automatic quality control of the coregistration procedure has been introduced through the analysis of the inter-pixel position of some natural point targets-like pixels identified within the images. The enhancements in the selection of the final points of measurements (the final PSI map) come by means of the analysis of the SAR signal signature of the strong targets presented within the image, in order to select only the center of the main lobe as point of measurement. The introduction of robustness within some critical steps of the technique is done by means of the analysis of the rotational of the estimates in close loops within a network of relative measurements, and by means of the implementation of a different integration methodology, which can be ran in parallel in order to compare it with the classical one. Finally, the main drawback of the technique, the use of a linear model for the detection of ground deformations, is addressed with the development of a new fitting methodology which allows possible change of trends within the analyzed time span. All those enhancements are evaluated with the use of real examples of applications and with simulated data. In particular, the new methodology for detecting non-linear ground deformations has been tested in the city of Paris, where a large stacking of ERS1/2 and ENVISAT SAR images are available. Those images are covering a very large time period of analysis at where some known non-linear ground deformations where occurring

x, 57 p. : ill. (mostly col.) / An extensive area west of the Three Sisters volcanoes of Oregon has been actively uplifting for over a decade. Examining the deformation is imperative to improve understanding of the potential hazards of Cascade volcanism and the emplacement of magma. I refine the timing of the onset of the deformation, resolve the change in uplift rates through time, and quantify the current deformation rate using Interferometric Synthetic Aperture Radar. The deformation is assessed in time and space using single interferogram InSAR, stacks of interferograms, and line-of-sight time series. I examine the shape of the deformation pattern and explore volcanic source parameters using a Mogi model and tension crack model with topographic corrections. By using the best fit model and combining all useable interferograms from different tracks, I create the first complete continuous inflation time series of the Three Sisters volcanic uplift from 1992 to 2010. / Committee in charge: Dr. David A. Schmidt, Chair; Dr. Katharine V. Cashman, Member; Dr. Joshua J. Roering, Member

Les glaciers rocheux sont l'une des expressions visibles du pergélisol de montagne et sont à ce titre l'objet d'études nombreuses et variées depuis plus de 20 ans. Deux principaux thèmes sont actuellement étudiés par la communauté scientifique : i) mieux appréhender les mouvements qui affectent les glaciers rocheux ainsi que les mécanismes qui les régissent et évaluer l'impact des changements atmosphériques globaux sur ces formes périglaciaires. Dans ces travaux de thèse nous proposons de contribuer au premier de ces deux thèmes de recherche en utilisant un des outils offerts par la télédétection, déjà utilisé dans d'autres pays pour l'étude des glaciers rocheux : l'interférométrie radar différentielle (D-InSAR). L'interférométrie radar différentielle (D-InSAR) est une méthode basée sur la mesure de la différence de phase entre deux images radar qui couvrent la même zone à différents intervalles de temps et depuis des orbites quasi-similaires. Déjà été utilisée dans d'autres domaines, notamment en glaciologie, volcanologie et sismologie, cette technique crée des interférogrammes, cartes de la déformation du sol en deux dimensions dans la ligne de visée du satellite, qui permettent de détecter et de quantifier un déplacement de quelques centimètres survenu au sol entre deux acquisitions radar. Des recherches en Suisse ont également montré que cette technique pouvait être utilisée pour semi-quantifier les mouvements de glaciers rocheux sur de vastes secteurs et parfois les quantifier (sous réserve de respecter certains critères lors de la création et l'analyse des interférogrammes). Dans ce travail de thèse, nous avons acquis des images radar provenant des satellites ERS (datant de 1991 à 1995) et TerraSAR-X (datant de l'été 2012) grâce à l'ESA (agence spatiale européenne) et au DLR (Deutschen Zentrums für Luft und Raumfahrt, agence spatiale Allemande) dans le but de créer et d'analyser des interférogrammes dans le secteur des Alpes françaises. Nous nous intéressons principalement à la détection des glaciers rocheux. Les archives des satellites ERS-1 et 2 nous ont permis de travailler à l'échelle de l'ensemble des Alpes françaises avec une résolution moyenne (25m en géométrie sol). Les données provenant de TerraSAR-X (TSX) ont permis des analyses plus fines grâce à une meilleure résolution en géométrie sol (10m). Cependant le secteur d'études s'est restreint à la Haute Maurienne/Haute Tarentaise à cause du coût des données et du temps nécessaire à la création et à l'analyse des interférogrammes. Pour les données ERS, nous avons pris en compte l'ensemble des images disponibles au-dessus des Alpes françaises et choisi celles adaptées pour notre étude. Finalement 9 interférogrammes ont été créés. Pour analyser ces données deux méthodes ont été employées : i) une analyse visuelle par des géomorphologues dans un SIG (aidée par des ortho-images et des données topographiques) ; ii) une évaluation de la pertinence des résultats par l'intermédiaire d'une comparaison entre les résultats D-InSAR et des inventaires de glaciers rocheux existants. Finalement une carte de l'ensemble des glaciers rocheux détectés dans les Alpes françaises a été produite. Les données TSX ont été analysées sensiblement de la même manière. Enfin, une troisième étude s'est concentrée sur le cas peu commun du glacier rocheux « déstabilisé » de Pierre Brune (mouvements > 2m/an). Une reconstitution historique des déplacements a été réalisée à partir d'images optiques d'archive et des données GPS ont été acquises durant l'été 2012 et comparées aux données obtenues par D-InSAR. En nous basant sur ces études aux résolutions d'image et aux échelles spatiales variées, nous proposons une discussion sur la pertinence de l'utilisation de la méthode D-InSAR pour du « monitoring » à moyen et long termes des glaciers rocheux mais également sur les atouts et inconvénients de la méthode. / Rockglaciers are one the visual expressions of mountain permafrost and have been the focus of numerous and various studies in the last two decades. Two main topics are studied by the scientific community: i) better understanding the movements of active rockglaciers and the phenomena that generate those movements; ii) assessing impact of global atmospheric change on these periglacial shapes. Here we propose to contribute to the first topic by using remote sensing method of displacement measurements already used in other countries for rockglaciers studies: Differential Interferometric Synthetic Aperture Radar (D-InSAR). D-InSAR is a method of measurement based on the phase difference between two radar images, which represent the same area but at different time intervals. The technique generates interferograms, maps of surface deformation in two-dimensions allowing for the detection and quantification (in centimeters) of variations in distance between the target and the radar between two different data acquisitions. Recent research has shown that the InSAR technique can be used to semi-quantify rockglacier deformation (under the assumption that certain conditions are respected with regard to generating and interpreting the interferograms). In the present thesis, ERS radar images (dating from 1991 to 1995) and TerraSAR-X data (dating from summer 2012) were obtained in courtesy of ESA (European Space Agency) and DLR (Deutschen Zentrums für Luft- und Raumfahrt, German Space Agency) with the aim of generating interferograms. We are interested by the detection of rockglacier movements. The ERS archives allowed us to work at French Alps scale with moderate resolution (25m in ground geometry) whereas TerraSAR-X data have better ground resolution (10m) but our analysis are more local (Haute Maurienne/Haute Tarentaise) due to the cost of the data and the time-consuming nature of the analyzes. With ERS, we selected all archives data and chose the more relevant of them. Finally 9 interferograms were generated. To analyse this amount of data two methods were employed: i) a GIS analysis of interferograms by geomorphologists (helped by ortho-images and topographic data), ii) a comparison between interferograms and existing rockglaciers shape inventory to evaluate the quality of the radar detections. At the end of the analysis a map of the French Alps with all detected rockglacier movements was produced. With TerraSAR-X data, the method of analysis was almost the same. Analyzes focused on the Haute Maurienne/Haute Tarentaise massif. A third scale of analysis is focus on Pierre Brune rockglacier which has been detected on ERS interferograms as destabilized rockglaciers (movement > 2 m/year). Further investigations have been carried out on this site (historical movements reconstitution and GPS acquisitions). Based on these studies with different scales and resolutions, we proposed a discussion about suitability of D-InSAR measurements method for long term rockglaciers monitoring as well as drawbacks and benefits of the method.

Despite being one of the most productive ecosystems on earth, wetland areas have been heavily affected by human activities. The Cienaga Grande de Santa Marta (CGSM) in Colombia is one of these wetlands, where the inadequate construction of roads modified the hydrology and connectivity of this water body, generating massive mangrove mortality episodes. The lack of knowledge on the hydrological processes and connectivity of the CGSM has impaired mangrove restoration plans. Here we use wetland interferometry technique to remotely monitor the wetland and understand the flow of water in/out and across the CGSM wetland complex. A close collaboration with Miami University allowed us to access CGSM’s interferograms created with ALOS Palsar satellite data (from 2007 until 2011). The interferograms resulting from the analysis were correlated with daily hydrological data (precipitation, runoff in the main inflow of freshwater to the wetland, tide charts) to finally identify two main paths of inflow of water that are still active and are continuously feeding freshwater into the Cienaga. The most persistent was identified in the south-west part of the CGSM; a water flow coming directly from the Magdalena River and entering the main lagoon in its south-west corner. The second was located in the north-west area, where most of the mangroves have died. In this case, different interferograms showed different potential water flow paths depending on the season (dry / wet season), the Magdalena River’s discharge and the rainfall. These results reflect the complex hydrology of the CGSM . Furthermore, a coherence analysis was conducted to assess the quality of the remote sensing data and to better understand the different responses of the features within the Cienaga. The results showed that the coherence analysis could also be potentially used to identify areas of dead mangrove. This study confirms that despite the blockage of the connectivity of the wetlands, there are still important freshwater flow paths feeding the CGSM. Additional hydrological studies are needed to ensure the further understanding of the hydrology of the CGSM and confirm the results of this study.

Peat moorlands represent a nationally significant carbon store. Wildfires in peat moorlands release CO2 into the atmosphere, reducing the carbon store and burn into the seed bank preventing vegetation recovery. Burned areas of bare peat remain, known as ‘burn scars’ which are eroded by freeze thaw and desiccation, then weathered by precipitation and wind to cause discolouration of the water supply. A technique for the systematic monitoring of peat moorland burn scars is essential for informing land management and moorland restoration. Satellite data enables peat moorland burn scars to be monitored at the landscape scale for operational services e.g. European Forest Fire Information System (EFFIS). However, in the UK cloud is highly problematic for optical satellites and thermal data provides only a short window of opportunity for active fire detection. This thesis provides a unique line of enquiry by exploring the potential of Synthetic Aperture Radar (SAR) intensity and Interferometric Synthetic Aperture Radar (InSAR) coherence for burn scar characterisation and persistence, using a multi-temporal and multi-sensor approach for degraded peat moorland. The Peak District National Park (PDNP) was selected because it is a marginal moorland environment, which experiences high rates of peat erosion and will experience more wildfires, based on future projections of increased temperature, due to global warming. Initial SAR intensity results for the Bleaklow 2003 burn scar showed a clear post-fire increase of 7 dB for burned peat bog when acquired under wet conditions. Post-fire, dry − wet InSAR pairs were characterised by vegetation removal caused by combustion within the burn scar area, whereas wet − wet InSAR pairs characterised the burn scar, but also degraded peat moorland caused by previous wildfires blurring the new burn scar perimeter. Intensity differed significantly with slope for the PDNP 2003 wildfires, reducing the effectiveness of the technique for characterising burn scars on slopes facing away from the sensor, although these wildfires showed no significant difference on coherence for the inland bare ground class. When using coherence as a burn scar discriminator, this research found that it is essential to acquire InSAR pairs immediately post-fire with B⊥ < 550 m. Using a combination of intensity and coherence data a multi-difference colour composite was produced and an ISODATA classification applied. Results were reclassified to produce a burned area map with an overall map accuracy of 94% and Kappa Coefficient of 0.69 covering the Bleaklow and Kinder 2003 burn scars. Burn scars < 6 km2 provided a persistently higher burned area intensity signal for up to six months after the wildfire but only 2 − 3 months for coherence. The smaller Edale burn scar (0.10 km2) was characterised by 2 − 3 dB greater intensity for the burned area over a year after the wildfire. The Edale 2008 case study showed that L-band PALSAR data is less sensitive to characterising peat moorland burn scars compared to C-band data. This study therefore strongly recommends C-band data for peat moorland burn scar characterisation and monitoring. Future research will explore the new C-band Sentinel-1 data which offers improved spatial resolution and repeat-pass time.

Volcanic subsidence, caused by partial emptying of magma in the subsurface reservoir has long been observed by spaceborne radar interferometry. Monitoring long-term crustal deformation at the most notable type of volcanic subsidence, caldera, gives us insights of the spatial and hazard-related information of subsurface reservoir. Several subsiding calderas, such as volcanoes on the Galapagos islands have shown a complex ground deformation pattern, which is often composed of a broad deflation signal affecting the entire edifice and a localized subsidence signal focused within the caldera floor. Although numerical or analytical models with multiple reservoirs are proposed as the interpretation, geologically and geophysically evidenced ring structures in the subsurface are often ignored. Therefore, it is still debatable how deep mechanisms relate to the observed deformation patterns near the surface. We aim to understand what kind of activities can lead to the complex deformation. Using two complementary approaches, we study the three-dimensional geometry and kinematics of deflation processes evolving from initial subsidence to later collapse of calderas. Firstly, the analog experiments analyzed by structure-from-motion photogrammetry (SfM) and particle image velocimetry (PIV) helps us to relate the surface deformation to the in-depth structures. Secondly, the numerical modeling using boundary element method (BEM) simulates the characteristic deformation patterns caused by a sill-like source and a ring-fault. Our results show that the volcano-wide broad deflation is primarily caused by the emptying of the deep magma reservoir, whereas the localized deformation on the caldera floor is related to ring-faulting at a shallower depth. The architecture of the ring-fault to a large extent determines the deformation localization on the surface. Since series evidence for ring-faulting at several volcanoes are provided, we highlight that it is vital to include ring-fault activity in numerical or analytical deformation source formulation. Ignoring the process of ring-faulting in models by using multiple point sources for various magma reservoirs will result in erroneous, thus meaningless estimates of depth and volume change of the magmatic reservoir(s).

Thermokarst is a typical process that indicates widespread permafrost degradation in yedoma landscapes. The Lena-Aldan interfluvial area in Central Yakutia in eastern Siberia is now facing extensive landscape changes with surface subsidence due to thermokarst development during the past few decades. To clarify the spatial extent and rate of subsidence, multiple spatial datasets, including GIS and remote sensing observations, were used to analyze the Churapcha rural locality, which has a typical yedoma landscape in Central Yakutia. Land cover classification maps for 1945 and 2009 provide basic information on anthropogenic disturbance to the natural landscape of boreal forest and dry grassland. Interferometric synthetic aperture radar (InSAR) with ALOS-2/PALSAR-2 data revealed activated surface subsidence of 2 cm/yr in the disturbed area, comprising mainly abandoned agricultural fields. Remote sensing with an unmanned aerial system also provided high-resolution information on polygonal relief formed by thermokarst development at a disused airfield where InSAR analysis exhibited extensive subsidence. It is worth noting that some historically deforested areas have likely recovered to the original landscape without further thermokarst development. Spatial information on historical land-use change is helpful because most areas with thermokarst development correspond to locations where land was used by humans in the past. Going forward, the integrated analysis of geospatial information will be essential for assessing permafrost degradation.

No description available.