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No. of bitstreams: 1 Dissertação - Mônica Alves de Vasconcelos.pdf: 4440019 bytes, checksum: c44d2ef502b2db9e99beafff1edcc52e (MD5) Previous issue date: 2012-11-30 / CNPQ - Conselho Nacional de Desenvolvimento Científico e Tecnológico / The regional importance of the Tarumã-Açu River basin, its location and extent, which represents about 12 percent in the city of Manaus, and its current situation of threat due to disorderly occupation problems, forest conversion to other types of use and soil cover, motivated the study of landscape structure analysis of this area. For this analysis a map of use and soil of the basin and cover, and indexes of landscape ecology were produced. Creating the map was based on digital supervised classification (maximum likelihood algorithm) of orbital images active sensor digital ALOSPALSAR of the year 2007, with global accuracy of 77.47. The elements of the landscape studied in this work were those of smearing and array, and the rates of landscape ecology used, that make the fragments-level characterization and use class-level and soil cover. The largest class of land cover found in the rain forest was 64.98 ha, representing 46,001 ha and demonstrating that the studied area had great natural vegetation cover in 2007. The second largest class of soil coverage was represented by the urban area by 18.02, totaling 12,759.53 acres, showing that already at the time (5 years by now), the basin was already in advanced process of occupation and man-made impacts. This can still be justified by the fact the bowl is partially located within the urban area of the city of Manaus. The porosity of the matrix of the basin was represented by 64,282 fragments. This high value is justified by the size of the study area bounded and the spatial resolution of the image ALOSPALSAR with 12.5 meters, which results in a zoom of the study area, highlighting areas usually omitted for images of lower spatial resolution. This high value is justified by the size of the study area bounded and the spatial resolution of the image ALOSPALSAR with 12.5 meters, which results in a zoom of the study area, highlighting areas usually omitted for images of lower spatial resolution. These fragments totaled 24,796.35 ha, total study area 47.07. Of these, 18.02% fragments formed by the urban area, followed by agriculture and secondary by forest, soil and water. The fragment had 95.94 % area class less than 1.0 ha, 3.78% has area between 1.0 and 10 hectares, and only 0.27% has area greater than 10 ha, totaling 174 large fragments. Most of the fragments of size less than 1.0 ha belong to the urban area, showing 48,467 fragments, and in the area greater than 10 ha this kind of coverage presented 59 spots. In relation to the average values and sets, the shape of fragments results were similar for all classes studied - around 2. The results were satisfactory for the studied region, since become required the use of remote sensing techniques due to the climatic characteristics and territorial extension of the Amazon / importância regional da Bacia do Rio Tarumã-Açu, sua localização e extensão, a qual representa cerca de 12% do município de Manaus, e sua atual situação de ameaça devido a problemas de ocupação desordenada, conversão de floresta em outros tipos de uso e cobertura do solo, motivaram o estudo da análise da estrutura paisagem dessa área. Para essa análise foi produzido o mapa de uso e cobertura do solo da bacia e foram utilizados índices de ecologia da paisagem. O mapa de uso e cobertura do solo foi produzido pela classificação digital supervisionada (algoritmo de máxima verossimilhança) de imagens orbitais digitais do sensor ativo ALOS/PALSAR do ano de 2007, com exatidão global de 77,47%. Os elementos da paisagem estudados neste trabalho foram os de mancha e matriz, sendo os índices de ecologia da paisagem utilizados, os que fazem a caracterização em nível de fragmentos e em nível de classes de uso e cobertura do solo. A maior classe de cobertura do solo encontrada na classificação foi a de floresta ombrófila, 64,98%, representando 46.001 hectares, demonstrando que a área de estudo para o ano de 2007 apresentava grande cobertura vegetal natural possivelmente primária. A segunda maior classe de cobertura do solo foi representada pela área urbana por 18,02%, totalizando 12.759,53 hectares, mostrando que já na época, há 5 anos, a bacia já se encontrava em avançado processo de ocupação e impactos antrópicos, isto pode ainda ser justificado pelo fato da bacia está parcialmente localizada dentro da área urbana do município de Manaus. A porosidade da matriz da bacia foi representada por 64.282 fragmentos. Este valor elevado justifica-se pelo tamanho da área de estudo delimitada e da resolução espacial da imagem ALOS/PALSAR com 12,5 metros, que resulta em um "zoom" da área de estudo, destacando áreas geralmente omitidas por imagens de menor resolução espacial. Esses fragmentos totalizaram 24.796,35 hectares, 47,07% da área total de estudo. Destes, 18,02% formados por área urbana, seguidos por agricultura e solo exposto, floresta secundária e água. Os 95,94% dos fragmentos apresentaram classe de área menor que 1,0 ha, 3,78% possuem área entre 1,0 e 10 hectares e apenas 0,27% possui área maior que 10 ha, totalizando 174 grandes fragmentos. A maioria dos fragmentos com área menor que 1,0 ha pertencem à classe área urbana, apresentando 48.467 fragmentos, e na classe de área maior que 10 ha esta classe de cobertura apresentou 59 manchas. Em relação aos valores de média, mediana e moda da forma dos fragmentos os resultados foram semelhantes para todas as classes estudadas, em torno de 2. Os resultados mostraram-se satisfatórios para o referido estudo na região, visto que tornam-se necessários a utilização de técnicas de sensoriamento remoto devido as características climáticas e extensão territorial da Amazônia.

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.

Ce travail de thèse porte sur la détection et la mesure des déformations tectoniques inter-sismiques de surface sur l'île de Taiwan, dont la formation résulte de la collision active entre les plaques tectoniques Eurasienne et Philippines (avec une vitesse de convergence de 8,2 cm/an). Nous utilisons pour cela la méthode interférométrique des réflecteurs persistants (aussi appelée PS). Cette méthode est basée sur l'analyse d'une série d'images radar acquises à différentes dates sur une même zone. Son intérêt majeur est de pouvoir effectuer un suivi spatio-temporel des faibles déformations avec une densité de points de mesure nettement plus élevée que celle offerte par les réseaux de mesure géodésiques. Nous utilisons par ailleurs des données PALSAR du satellite japonais ALOS opérant en bande L (avec une longueur d'onde de 23,6 cm), qui permettent d'améliorer grandement les résultats interférométriques sur les zones à fort couvert végétal. Nous montrons que l'utilisation combinée de la technique PS et des données ALOS fournit de nouveaux éléments notoires dans le cadre du suivi des déformations inter-sismiques de Taiwan. Nous calculons sur différentes zones de l'île des cartes des déplacements moyens de la surface terrestre, ainsi que les séries temporelles de das déplacements associées (avec une mesure de déplacement pour chaque date d'acquisition radar). Trois zones majeures de la collision actuelle ont été sélectionnées et les résultats obtenus sont sans précédent. La Vallée Longitudinale, située à l'Est de l'île entre la Chaîne Centrale et la Chaîne Côtière, absorbe envionr 1/3 de la convergence totale; le raccourcissement horizontal mesuré au travers de la vallée est d'environ 3 cm/an. La déformation se localise principalement sur la faille de la Vallée Longitudinale, pour l'essentielle de manière asismique. La carte des déplacements moyens calculée sur la période 2007-2010 nous permet de localiser cette faille inverse avec une grande précision (entre 50 et 100 mètres), améliorant ainsi grandement les précédentes cartes. Nous estimons également le taux de glissement inter-sismique de la faille (variant entre 1 et 3,2 cm/an), et analysons ses variations spatio-temporelles. Ces résultats sont en accord avec les données de mesure par GPS continu. La péninsule de Hengchun, au Sud de l'île, permet d'étudier les déformations les plus récentes observables à Taiwan. Cette péninsule est située au sommet du prisme d'accrétion actuel, et la structure tectonique majeure est la faille inverse de Hengchun. Sur cette zone, la trace au sol de la faille est mise en évidence et cartographiée. Le taux de glissement inter-sismique y est estimé à environ 1 cm/an. Enfin, nous menons une étude des déformations lentes affectant la Plaine Côtière, au Sud-Ouest de l'île. Plusieurs types de déformation y sont observés entre 1995 et 2010: le soulèvement de l'anticlinal de Tainan, la subsidence de la plaine de Pingtung, l'activité de la faille de Fengshan et la subsidence autour de la rivière Choshui.

Les milieux humides remplissent plusieurs fonctions écologiques d’importance et contribuent à la biodiversité de la faune et de la flore. Même s’il existe une reconnaissance croissante sur l’importante de protéger ces milieux, il n’en demeure pas moins que leur intégrité est encore menacée par la pression des activités humaines. L’inventaire et le suivi systématique des milieux humides constituent une nécessité et la télédétection est le seul moyen réaliste d’atteindre ce but. L’objectif de cette thèse consiste à contribuer et à améliorer la caractérisation des milieux humides en utilisant des données satellites acquises par des radars polarimétriques en bande L (ALOS-PALSAR) et C (RADARSAT-2). Cette thèse se fonde sur deux hypothèses (chap. 1). La première hypothèse stipule que les classes de physionomies végétales, basées sur la structure des végétaux, sont plus appropriées que les classes d’espèces végétales car mieux adaptées au contenu informationnel des images radar polarimétriques. La seconde hypothèse stipule que les algorithmes de décompositions polarimétriques permettent une extraction optimale de l’information polarimétrique comparativement à une approche multipolarisée basée sur les canaux de polarisation HH, HV et VV (chap. 3). En particulier, l’apport de la décomposition incohérente de Touzi pour l’inventaire et le suivi de milieux humides est examiné en détail. Cette décomposition permet de caractériser le type de diffusion, la phase, l’orientation, la symétrie, le degré de polarisation et la puissance rétrodiffusée d’une cible à l’aide d’une série de paramètres extraits d’une analyse des vecteurs et des valeurs propres de la matrice de cohérence. La région du lac Saint-Pierre a été sélectionnée comme site d’étude étant donné la grande diversité de ses milieux humides qui y couvrent plus de 20 000 ha. L’un des défis posés par cette thèse consiste au fait qu’il n’existe pas de système standard énumérant l’ensemble possible des classes physionomiques ni d’indications précises quant à leurs caractéristiques et dimensions. Une grande attention a donc été portée à la création de ces classes par recoupement de sources de données diverses et plus de 50 espèces végétales ont été regroupées en 9 classes physionomiques (chap. 7, 8 et 9). Plusieurs analyses sont proposées pour valider les hypothèses de cette thèse (chap. 9). Des analyses de sensibilité par diffusiogramme sont utilisées pour étudier les caractéristiques et la dispersion des physionomies végétales dans différents espaces constitués de paramètres polarimétriques ou canaux de polarisation (chap. 10 et 12). Des séries temporelles d’images RADARSAT-2 sont utilisées pour approfondir la compréhension de l’évolution saisonnière des physionomies végétales (chap. 12). L’algorithme de la divergence transformée est utilisé pour quantifier la séparabilité entre les classes physionomiques et pour identifier le ou les paramètres ayant le plus contribué(s) à leur séparabilité (chap. 11 et 13). Des classifications sont aussi proposées et les résultats comparés à une carte existante des milieux humide du lac Saint-Pierre (14). Finalement, une analyse du potentiel des paramètres polarimétrique en bande C et L est proposé pour le suivi de l’hydrologie des tourbières (chap. 15 et 16). Les analyses de sensibilité montrent que les paramètres de la 1re composante, relatifs à la portion dominante (polarisée) du signal, sont suffisants pour une caractérisation générale des physionomies végétales. Les paramètres des 2e et 3e composantes sont cependant nécessaires pour obtenir de meilleures séparabilités entre les classes (chap. 11 et 13) et une meilleure discrimination entre milieux humides et milieux secs (chap. 14). Cette thèse montre qu’il est préférable de considérer individuellement les paramètres des 1re, 2e et 3e composantes plutôt que leur somme pondérée par leurs valeurs propres respectives (chap. 10 et 12). Cette thèse examine également la complémentarité entre les paramètres de structure et ceux relatifs à la puissance rétrodiffusée, souvent ignorée et normalisée par la plupart des décompositions polarimétriques. La dimension temporelle (saisonnière) est essentielle pour la caractérisation et la classification des physionomies végétales (chap. 12, 13 et 14). Des images acquises au printemps (avril et mai) sont nécessaires pour discriminer les milieux secs des milieux humides alors que des images acquises en été (juillet et août) sont nécessaires pour raffiner la classification des physionomies végétales. Un arbre hiérarchique de classification développé dans cette thèse constitue une synthèse des connaissances acquises (chap. 14). À l’aide d’un nombre relativement réduit de paramètres polarimétriques et de règles de décisions simples, il est possible d’identifier, entre autres, trois classes de bas marais et de discriminer avec succès les hauts marais herbacés des autres classes physionomiques sans avoir recours à des sources de données auxiliaires. Les résultats obtenus sont comparables à ceux provenant d’une classification supervisée utilisant deux images Landsat-5 avec une exactitude globale de 77.3% et 79.0% respectivement. Diverses classifications utilisant la machine à vecteurs de support (SVM) permettent de reproduire les résultats obtenus avec l’arbre hiérarchique de classification. L’exploitation d’une plus forte dimensionalitée par le SVM, avec une précision globale maximale de 79.1%, ne permet cependant pas d’obtenir des résultats significativement meilleurs. Finalement, la phase de la décomposition de Touzi apparaît être le seul paramètre (en bande L) sensible aux variations du niveau d’eau sous la surface des tourbières ouvertes (chap. 16). Ce paramètre offre donc un grand potentiel pour le suivi de l’hydrologie des tourbières comparativement à la différence de phase entre les canaux HH et VV. Cette thèse démontre que les paramètres de la décomposition de Touzi permettent une meilleure caractérisation, de meilleures séparabilités et de meilleures classifications des physionomies végétales des milieux humides que les canaux de polarisation HH, HV et VV. Le regroupement des espèces végétales en classes physionomiques est un concept valable. Mais certaines espèces végétales partageant une physionomie similaire, mais occupant un milieu différent (haut vs bas marais), ont cependant présenté des différences significatives quant aux propriétés de leur rétrodiffusion. / Wetlands fill many important ecological functions and contribute to the biodiversity of fauna and flora. Although there is a growing recognition of the importance to protect these areas, it remains that their integrity is still threatened by the pressure of human activities. The inventory and the systematic monitoring of wetlands are a necessity and remote sensing is the only realistic way to achieve this goal. The primary objective of this thesis is to contribute and improve the wetland characterization using satellite polarimetric data acquired in L (ALOS-PALSAR) and C (RADARSAT-2) band. This thesis is based on two hypotheses (Ch. 1). The first hypothesis stipulate that classes of plant physiognomies, based on plant structure, are more appropriate than classes of plant species because they are best adapted to the information content of polarimetric radar data. The second hypothesis states that polarimetric decomposition algorithms allow an optimal extraction of polarimetric information compared to a multi-polarized approach based on the HH, HV and VV channels (Ch. 3). In particular, the contribution of the incoherent Touzi decomposition for the inventory and monitoring of wetlands is examined in detail. This decomposition allows the characterization of the scattering type, its phase, orientation, symmetry, degree of polarization and the backscattered power of a target with a series of parameters extracted from an analysis of the coherency matrix eigenvectors and eigenvalues. The lake Saint-Pierre region was chosen as the study site because of the great diversity of its wetlands that are covering more than 20 000 ha. One of the challenges posed by this thesis is that there is neither a standard system enumerating all the possible physiognomic classes nor an accurate description of their characteristics and dimensions. Special attention was given to the creation of these classes by combining several data sources and more than 50 plant species were grouped into nine physiognomic classes (Ch. 7, 8 and 9). Several analyzes are proposed to validate the hypotheses of this thesis (Ch. 9). Sensitivity analysis using scatter plots are performs to study the characteristics and dispersion of plant physiognomic classes in various features space consisting of polarimetric parameters or polarization channels (Ch. 10 and 12). Time series of made of RADARSAT-2 images are used to deepen the understanding of the seasonal evolution of plant physiognomies (Ch. 12). The transformed divergence algorithm is used to quantify the separability between physiognomic classes and to identify the parameters (s) that contribute the most to their separability (Ch. 11 and 13). Classifications are also proposed and the results compared to an existing map of the lake Saint-Pierre wetlands (Ch. 14). Finally, an analysis of the potential of polarimetric parameters in C and L-band is proposed for the monitoring of peatlands hydrology (Ch. 15 and 16). Sensitivity analyses show that the parameters of the 1st component, relative to the dominant (polarized) part of the signal, are sufficient for a general characterization of plant physiognomies. The parameters of the second and third components are, however, needed for better class separability (Ch. 11 and 13) and a better discrimination between wetlands and uplands (Ch. 14). This thesis shows that it is preferable to consider individually the parameters of the 1st, 2nd and 3rd components rather than their weighted sum by their respective eigenvalues (Ch. 10 and 12). This thesis also examines the complementarity between the structural parameters and those related to the backscattered power, often ignored and normalized by most polarimetric decomposition. The temporal (seasonal) dimension is essential for the characterization and classification of plant physiognomies (Ch. 12, 13 and 14). Images acquired in spring (April and May) are needed to discriminate between upland and wetlands while images acquired in summer (July and August) are needed to refine the classifications of plant physiognomies. A hierarchical classification tree developed in this thesis represents a synthesis of the acquired knowledge (Chapter 14). Using a relatively small number of polarimetric parameters and simple decision rules, it is possible to identify, among other, three low marshes classes and to discriminate with success herbaceous high marshes from other physiognomic classes without using ancillary data source. The results obtained are comparable to those from a supervised classification using two Landsat-5 images with an overall accuracy of 77.3% and 79.0% respectively. Various classifications using the support vector machine (SVM) can reproduce the results obtained with the hierarchical classification tree. But the possible exploitation by the SVM of a higher dimensionality, with a maximum overall accuracy of 79.1%, does not allow however to achieve significantly better results. Finally, the phase of the Touzi decomposition appears to be the only parameter (in L-band) sensitive to changes in water level beneath the peat surface (Ch. 16). Therefore, this parameter offer a great potential for peatlands hydrology monitoring compared to the HH-VV phase difference. This thesis demonstrates that the Touzi decomposition parameters allow a better characterization, better separability and better classifications of wetlands plant physiognomic classes than HH, HV and VV polarization channels. The grouping of plant species into physiognomic classes is a valid concept. However, some plant species sharing a similar physiognomy, but occupying a different environment (high vs. low marshes), have presented significant differences in their scattering properties.

No description available.

Mit der Weiterentwicklung von Sensoren und Methoden hat die Satellitenfernerkundung innerhalb der letzten 20 Jahre nicht nur einen großen Stellenwert in der Polarforschung errungen, sondern vor allem die Herangehensweisen an eine Vielzahl glaziologischer Probleme grundlegend verändert. RADAR-Sensoren (Radio Detection and Ranging) sind dabei besonders bei der Erkundung vereister Regionen hilfreich und tragen stark zur Ableitung klimasensitiver Parameter im Bereich der Antarktis bei. Nach einem einführenden Überblick im ersten wird im zweiten Kapitel mit Darstellungen zur Nutzung von RADAR-Messungen für Fernerkundungszwecke begonnen. Die zur Erhöhung der räumlichen Auflösung verwendete SAR-Prozessierung (Synthetic Aperture Radar) wird daraufhin kurz umrissen, bevor zu den Grundlagen der interferometrischen Auswertung (InSAR) übergeleitet wird. Bei dieser werden Phasendifferenzen unterschiedlicher Aufnahmen für Messzwecke eingesetzt. In den Beschreibungen wird aufgezeigt, wie sich derartige Messungen für die Ermittlung von Oberflächentopographie und Fließverhalten in polaren Regionen nutzen lassen. Eine Darstellung der ebenfalls benötigten Methoden zur Bestimmung von Verschiebungen in Bildpaaren und das Messprinzip der Laseraltimetrie beenden diesen Theorieteil. Das dritte Kapitel der Arbeit ist der Vorstellung des Arbeitsgebietes und der genutzten Datensätze gewidmet. Nach der geographischen Einordnung des Untersuchungsgebietes werden die wichtigsten glaziologischen Gegebenheiten vorgestellt. In der sich anschließenden Beschreibung genutzter Datensätze werden vor allem die für diese Region verfügbaren Höhen- und Ozeangezeitenmodelle intensiver besprochen. Die Bestimmung der Oberflächentopographie durch differentielle SAR-Interferometrie (DInSAR) ist Thema des vierten Kapitels. Nachdem die nötigen technischen Aspekte des Prozessierungsablaufes knapp erläutert wurden, werden die Unterschiede bei der Doppeldifferenzbildung benachbarter und identischer Wiederholspuren herausgearbeitet. Danach wird am Beispiel gezeigt, wie mithilfe von ICESat-Daten (Ice, Cloud and Land Elevation Satellite) eine Basislinienverbesserung zur genaueren Höhenbestimmung durchgeführt werden kann. Die ursprünglich separat abgeleiteten Höhenmodelle werden dann zu einer gemeinsamen Lösung kombiniert, welche abschließend hinsichtlich ihrer Genauigkeit besprochen und anderen Modellen vergleichend gegenübergestellt wird. Die Ableitung von Fließgeschwindigkeiten mit dem Hintergrund einer späteren Berechnung von Massenflüssen ist Gegenstand des fünften Kapitels, wobei drei unterschiedliche Methoden genutzt werden. Im ersten Fall wird das für RADAR-Bilder typische, hochfrequente Rauschen zur Bestimmung von Verschiebungen in ALOS-Daten (Advanced Land Observing Satellite) genutzt. Mit dieser Methode können durchgehende Fließgeschwindigkeitsfelder vom aufliegenden Bereich über die Aufsetzzone bis auf das Schelfeis ermittelt werden. DesWeiteren werden aus ERS-Daten (European Remote Sensing Satellite), die über einen Zeitraum von reichlich 13 Jahren vorliegen, Verschiebungen durch die Verfolgung von unveränderten, aber sich bewegenden Eisstrukturen bestimmt. Bei der als Drittes angewendeten, interferometrischen Methode werden aufsteigende und absteigende Satellitenspuren kombiniert, um die Fließinformationen zu rekonstruieren. In den jeweiligen Sektionen wird neben der Vorstellung der Ergebnisse auch deren Genauigkeit diskutiert. Das letzte große, sechste Kapitel untergliedert sich in zwei Teile. Im ersten dieser beiden Abschnitte wird gezeigt, wie InSAR und DInSAR zur Lagekartierung der Aufsetzzone eingesetzt werden können. Dabei werden die auf diese Weise ermittelten Ergebnisse dargestellt und diskutiert. Im zweiten, umfangreicheren Teil werden die zuvor gewonnenen Höhen- und Geschwindigkeitsinformationen genutzt, um deren Einfluss aus den InSAR-Messungen zu eliminieren, wodurch vertikale Höhenunterschiede mittels InSAR bestimmt werden können. Dies ist besonders für den Bereich der Aufsetzzone und des Schelfeises von Interesse, da diese Areale teilweise oder vollständig von Ozeangezeiten beeinflusst werden. Nach einer Luftdruckkorrektion werden den ermittelten Höhenunterschieden (entlang selektierter Profile) die Prädiktionen zwölf verfügbarer Ozeangezeitenmodelle gegenübergestellt. Die RMS-Werte dieser Differenzen werden abschließend genutzt, um die Qualität der Ozeangezeitenmodelle für die Region des Arbeitsgebietes einzustufen. Zum Abschluss werden in einer Zusammenfassung noch einmal die wichtigsten Ergebnisse aller Kapitel resümiert und bewertet. / The development of new satellite sensors within the last 20 years along with changes towards more sophisticated processing strategies has not only given a new impetus to remote sensing data in view of polar research but also changed how a variety of glaciological problems are being addressed today. Particularly RADAR (radio detection and ranging) sensors are well-suited for the observation of glaciated areas and have already helped to retrieve a vast amount of climate sensitive parameters from the area of Antarctica. After an introductive overview at the beginning, the second chapter continues with the description of how RADAR measurements can be used to generate remote sensing images. The principle of synthetic aperture RADAR (SAR) which allows a better focusing of the RADAR measurements and therewith a rigorous increase of the spatial resolution of the images is outlined generally before more precise descriptions explain how interferometric SAR (InSAR) analyses can be used for the determination of surface topography heights and area-wide flow velocities. Two other techniques, namely matching methods for the determination of shifts between two images as well as the laser satellite altimetry are explained at the end of this chapter which closes the theoretical basics. The next section introduces the area of interest along with data sets which were used for validation purposes. After a careful exposure of the geographical situation, single objects such as ice streams and ice shelves are described in more detail. The following part, the data set introduction, has besides the description of other measurements its focus on topography and ocean tide models which are available for the area of investigation. Chapter four deals with the estimation of surface topography heights from differential InSAR (DInSAR) analyses. Therein the major differences for the usage of similar repeat tracks in contrast to neighboring, overlapping tracks will be shown and thoroughly discussed. The example of one track will be used to demonstrate how the required baseline estimation can be achieved if ICESat (Ice, Cloud and Land Elevation Satellite) profiles are used as tie points. Afterwards, all separately derived height models will be combined to obtain one final solution followed by an error analysis. A comparison to other available elevation models visualizes the spatial resolution of the derived model. The utilization of three different methods for the estimation of surface flow velocities (with the background of possible mass flux determinations) is the topic of the fifth chapter. The first case describes the usage of the high frequent noise contained in RADAR images for the tracking of horizontal surface displacements. Based on ALOS (Advanced Land Observing Satellite) data a flow velocity field which extends from the interior of the ice sheet across the grounding zone up to the ice shelf will be presented. Secondly, geocoded ERS (European Remote Sensing Satellite) images covering a time span of more than 13 years are used to track the motions of well-structured flat areas (ice shelf and glacier tongue). In the third approach used descending and ascending satellite passes will be combined in conjunction with a surface parallel flow assumption to interferometrically derive flow velocities in grounded areas. In each section respective errors will be discussed in order to evaluate the accuracy of the performed measurements. The last bigger chapter, number six, is divided into two sections. In the first one the adoption of SAR and InSAR with respect to the mapping of the grounding line location will be demonstrated. Results of the entire working area will be presented and compared to other data. The second section deploys the results of topography heights and flow velocities to remove both effects from the InSAR measurements which then allows to also measure height changes. This is of particular interest for the floating areas of ice shelf which are fully affected by ocean tides as well as for the grounding zone locations which partially experience deformations due to these height changes. After the correction for air pressure, changes between the image acquisitions, height changes along selected profiles are compared to twelve different ocean tide models. The RMS values of the differences are then used to evaluate the quality of these models for the working area. The most important results and conclusions are summarized in the last chapter.

Mit der Weiterentwicklung von Sensoren und Methoden hat die Satellitenfernerkundung innerhalb der letzten 20 Jahre nicht nur einen großen Stellenwert in der Polarforschung errungen, sondern vor allem die Herangehensweisen an eine Vielzahl glaziologischer Probleme grundlegend verändert. RADAR-Sensoren (Radio Detection and Ranging) sind dabei besonders bei der Erkundung vereister Regionen hilfreich und tragen stark zur Ableitung klimasensitiver Parameter im Bereich der Antarktis bei. Nach einem einführenden Überblick im ersten wird im zweiten Kapitel mit Darstellungen zur Nutzung von RADAR-Messungen für Fernerkundungszwecke begonnen. Die zur Erhöhung der räumlichen Auflösung verwendete SAR-Prozessierung (Synthetic Aperture Radar) wird daraufhin kurz umrissen, bevor zu den Grundlagen der interferometrischen Auswertung (InSAR) übergeleitet wird. Bei dieser werden Phasendifferenzen unterschiedlicher Aufnahmen für Messzwecke eingesetzt. In den Beschreibungen wird aufgezeigt, wie sich derartige Messungen für die Ermittlung von Oberflächentopographie und Fließverhalten in polaren Regionen nutzen lassen. Eine Darstellung der ebenfalls benötigten Methoden zur Bestimmung von Verschiebungen in Bildpaaren und das Messprinzip der Laseraltimetrie beenden diesen Theorieteil. Das dritte Kapitel der Arbeit ist der Vorstellung des Arbeitsgebietes und der genutzten Datensätze gewidmet. Nach der geographischen Einordnung des Untersuchungsgebietes werden die wichtigsten glaziologischen Gegebenheiten vorgestellt. In der sich anschließenden Beschreibung genutzter Datensätze werden vor allem die für diese Region verfügbaren Höhen- und Ozeangezeitenmodelle intensiver besprochen. Die Bestimmung der Oberflächentopographie durch differentielle SAR-Interferometrie (DInSAR) ist Thema des vierten Kapitels. Nachdem die nötigen technischen Aspekte des Prozessierungsablaufes knapp erläutert wurden, werden die Unterschiede bei der Doppeldifferenzbildung benachbarter und identischer Wiederholspuren herausgearbeitet. Danach wird am Beispiel gezeigt, wie mithilfe von ICESat-Daten (Ice, Cloud and Land Elevation Satellite) eine Basislinienverbesserung zur genaueren Höhenbestimmung durchgeführt werden kann. Die ursprünglich separat abgeleiteten Höhenmodelle werden dann zu einer gemeinsamen Lösung kombiniert, welche abschließend hinsichtlich ihrer Genauigkeit besprochen und anderen Modellen vergleichend gegenübergestellt wird. Die Ableitung von Fließgeschwindigkeiten mit dem Hintergrund einer späteren Berechnung von Massenflüssen ist Gegenstand des fünften Kapitels, wobei drei unterschiedliche Methoden genutzt werden. Im ersten Fall wird das für RADAR-Bilder typische, hochfrequente Rauschen zur Bestimmung von Verschiebungen in ALOS-Daten (Advanced Land Observing Satellite) genutzt. Mit dieser Methode können durchgehende Fließgeschwindigkeitsfelder vom aufliegenden Bereich über die Aufsetzzone bis auf das Schelfeis ermittelt werden. DesWeiteren werden aus ERS-Daten (European Remote Sensing Satellite), die über einen Zeitraum von reichlich 13 Jahren vorliegen, Verschiebungen durch die Verfolgung von unveränderten, aber sich bewegenden Eisstrukturen bestimmt. Bei der als Drittes angewendeten, interferometrischen Methode werden aufsteigende und absteigende Satellitenspuren kombiniert, um die Fließinformationen zu rekonstruieren. In den jeweiligen Sektionen wird neben der Vorstellung der Ergebnisse auch deren Genauigkeit diskutiert. Das letzte große, sechste Kapitel untergliedert sich in zwei Teile. Im ersten dieser beiden Abschnitte wird gezeigt, wie InSAR und DInSAR zur Lagekartierung der Aufsetzzone eingesetzt werden können. Dabei werden die auf diese Weise ermittelten Ergebnisse dargestellt und diskutiert. Im zweiten, umfangreicheren Teil werden die zuvor gewonnenen Höhen- und Geschwindigkeitsinformationen genutzt, um deren Einfluss aus den InSAR-Messungen zu eliminieren, wodurch vertikale Höhenunterschiede mittels InSAR bestimmt werden können. Dies ist besonders für den Bereich der Aufsetzzone und des Schelfeises von Interesse, da diese Areale teilweise oder vollständig von Ozeangezeiten beeinflusst werden. Nach einer Luftdruckkorrektion werden den ermittelten Höhenunterschieden (entlang selektierter Profile) die Prädiktionen zwölf verfügbarer Ozeangezeitenmodelle gegenübergestellt. Die RMS-Werte dieser Differenzen werden abschließend genutzt, um die Qualität der Ozeangezeitenmodelle für die Region des Arbeitsgebietes einzustufen. Zum Abschluss werden in einer Zusammenfassung noch einmal die wichtigsten Ergebnisse aller Kapitel resümiert und bewertet. / The development of new satellite sensors within the last 20 years along with changes towards more sophisticated processing strategies has not only given a new impetus to remote sensing data in view of polar research but also changed how a variety of glaciological problems are being addressed today. Particularly RADAR (radio detection and ranging) sensors are well-suited for the observation of glaciated areas and have already helped to retrieve a vast amount of climate sensitive parameters from the area of Antarctica. After an introductive overview at the beginning, the second chapter continues with the description of how RADAR measurements can be used to generate remote sensing images. The principle of synthetic aperture RADAR (SAR) which allows a better focusing of the RADAR measurements and therewith a rigorous increase of the spatial resolution of the images is outlined generally before more precise descriptions explain how interferometric SAR (InSAR) analyses can be used for the determination of surface topography heights and area-wide flow velocities. Two other techniques, namely matching methods for the determination of shifts between two images as well as the laser satellite altimetry are explained at the end of this chapter which closes the theoretical basics. The next section introduces the area of interest along with data sets which were used for validation purposes. After a careful exposure of the geographical situation, single objects such as ice streams and ice shelves are described in more detail. The following part, the data set introduction, has besides the description of other measurements its focus on topography and ocean tide models which are available for the area of investigation. Chapter four deals with the estimation of surface topography heights from differential InSAR (DInSAR) analyses. Therein the major differences for the usage of similar repeat tracks in contrast to neighboring, overlapping tracks will be shown and thoroughly discussed. The example of one track will be used to demonstrate how the required baseline estimation can be achieved if ICESat (Ice, Cloud and Land Elevation Satellite) profiles are used as tie points. Afterwards, all separately derived height models will be combined to obtain one final solution followed by an error analysis. A comparison to other available elevation models visualizes the spatial resolution of the derived model. The utilization of three different methods for the estimation of surface flow velocities (with the background of possible mass flux determinations) is the topic of the fifth chapter. The first case describes the usage of the high frequent noise contained in RADAR images for the tracking of horizontal surface displacements. Based on ALOS (Advanced Land Observing Satellite) data a flow velocity field which extends from the interior of the ice sheet across the grounding zone up to the ice shelf will be presented. Secondly, geocoded ERS (European Remote Sensing Satellite) images covering a time span of more than 13 years are used to track the motions of well-structured flat areas (ice shelf and glacier tongue). In the third approach used descending and ascending satellite passes will be combined in conjunction with a surface parallel flow assumption to interferometrically derive flow velocities in grounded areas. In each section respective errors will be discussed in order to evaluate the accuracy of the performed measurements. The last bigger chapter, number six, is divided into two sections. In the first one the adoption of SAR and InSAR with respect to the mapping of the grounding line location will be demonstrated. Results of the entire working area will be presented and compared to other data. The second section deploys the results of topography heights and flow velocities to remove both effects from the InSAR measurements which then allows to also measure height changes. This is of particular interest for the floating areas of ice shelf which are fully affected by ocean tides as well as for the grounding zone locations which partially experience deformations due to these height changes. After the correction for air pressure, changes between the image acquisitions, height changes along selected profiles are compared to twelve different ocean tide models. The RMS values of the differences are then used to evaluate the quality of these models for the working area. The most important results and conclusions are summarized in the last chapter.

<p>Course-based Undergraduate Research Experiences (CUREs) have been described in a range of educational contexts. Although various learning objectives, termed anticipated learning outcomes (ALOs) in this project, have been proposed, processes for identifying them may not be rigorous or well-documented, which can lead to inappropriate assessment and speculation about what students actually learn from CUREs. Additionally, evaluation of CUREs has primarily relied on student and instructor perception data rather than more reliable measures of learning.This dissertation investigated a novel biochemistry laboratory curriculum for a Course-based Undergraduate Research Experience (CURE) known as the Biochemistry Authentic Scientific Inquiry Lab (BASIL). Students participating in this CURE use a combination of computational and biochemical wet-lab techniques to elucidate the function of proteins of known structure but unknown function. The goal of the project was to evaluate the efficacy of the BASIL CURE curriculum for developing students’ research abilities across implementations. Towards achieving this goal, we addressed the following four research questions (RQs): <b>RQ1</b>) How can ALOs be rigorously identified for the BASIL CURE; <b>RQ2</b>) How can the identified ALOs be used to develop a matrix that characterizes the BASIL CURE; <b>RQ3</b>) What are students’ perceptions of their knowledge, confidence and competence regarding their abilities to perform the top-rated ALOs for this CURE; <b>RQ4</b>) What are appropriate assessments for student achievement of the identified ALOs and what is the nature of student learning, and related difficulties, developed by students during the BASIL CURE? To address these RQs, this project focused on the development and use of qualitative and quantitative methods guided by constructivism and situated cognition theoretical frameworks. Data was collected using a range of instruments including, content analysis, Qualtrics surveys, open-ended questions and interviews, in order to identify ALOs and to determine student learning for the BASIL CURE. Analysis of the qualitative data was through inductive coding guided by the concept-reasoning-mode (CRM) model and the assessment triangle, while analysis of quantitative data was done by using standard statistical techniques (e.g. conducting a parried t-test and effect size). The results led to the development of a novel method for identifying ALOs, namely a process for identifying course-based undergraduate research abilities (PICURA; RQ1; Irby, Pelaez, & Anderson 2018b). Application of PICURA to the BASIL CURE resulted in the identification and rating by instructors of a wide range of ALOs, termed course-based undergraduate research abilities (CURAs), which were formulated into a matrix (RQs 2; Irby, Pelaez, & Anderson, 2018a,). The matrix was, in turn, used to characterize the BASIL CURE and to inform the design of student assessments aimed at evaluating student development of the identified CURAs (RQs 4; Irby, Pelaez, & Anderson, 2018a). Preliminary findings from implementation of the open-ended assessments in a small case study of students, revealed a range of student competencies for selected top-rated CURAs as well as evidence for student difficulties (RQ4). In this way we were able to confirm that students are developing some of the ALOs as actual learning outcomes which we term VLOs or verified learning outcomes. In addition, a participant perception indicator (PPI) survey was used to gauge students’ perceptions of their gains in knowledge, experience, and confidence during the BASIL CURE and, therefore, to inform which CURAs should be specifically targeted for assessment in specific BASIL implementations (RQ3;). These results indicate that, across implementations of the CURE, students perceived significant gains with large effect sizes in their knowledge, experience, and confidence for items on the PPI survey (RQ3;). In our view, the results of this dissertation will make important contributions to the CURE literature, as well as to the biochemistry education and assessment literature in general. More specifically, it will significantly improve understanding of the nature of student learning from CUREs and how to identify ALOs and design assessments that reveal what students actually learn from such CUREs - an area where there has been a dearth of available knowledge in the past. The outcomes of this dissertation could also help instructors and administrators identify and align assessments with the actual features of a CURE (or courses in general), use the identified CURAs to ensure the material fits departmental or university needs, and evaluate the benefits of students participating in these innovative curricula. Future research will focus on expanding the development and validation of assessments so that practitioners can better evaluate the efficacy of their CUREs for developing the research competencies of their undergraduate students and continue to render improvements to their curricula.</p>