TY - THES A1 - Wagner, Joachim T1 - Optische Charakterisierung von II-VI-Halbleiter-Oberflächen in Kombination mit First-Principles-Rechnungen T1 - Optical Characterisation of II-VI Semiconductor Surfaces in Combination with First Principles Calculations N2 - In dieser Arbeit sind Methoden der optischen Spektroskopie, insbesondere die Ramanspektroskopie (RS) und die Reflexions-Anisotropie-Spektroskopie (RAS), angewandt worden, um die Oberflächen von II-VI Halbleitern zu charakterisieren. Für die experimentellen Untersuchungen wurde eine eigens für diesen Zweck entwickelte UHV-Optikkammer benutzt. Diese einzigartige Möglichkeit, II-VI Halbleiterproben aus einer state-of-the-art MBE-Anlage mit einer UHV-Optikanlage zu kombinieren hat gezeigt, dass optische Spektroskopie sehr gut dafür geeignet ist, strukturelle Eigenschaften, z.B. Rekonstruktionen, und chemische Bindungen an Oberflächen, sowie die damit verbundene Schwingungsdynamik zu analysieren. Neben den experimentellen Arbeiten wurden u. a. first principles Rechnungen mittels der Dichtefunktionaltheorie im Rahmen der Lokalen-Dichte-Approximation durchgeführt. Damit konnten für die Oberflächen einerseits ihre geometrischen Eigenschaften, d.h die atomare Anordnung der Oberflächenatome, und andererseits auch ihre Dynamik, d.h. die Schwingungsfrequenzen und die Auslenkungsmuster der an der Rekonstruktion beteiligten Atome der Oberfläche und der oberflächennahen Schichten, im Rahmen der Frozen-Phonon-Näherung bestimmt werden. Die Kombination von experimenteller und theoretischer Vibrationsbestimmung von Oberflächen bietet also, neben den klassischen Oberflächen-Analysemethoden wie RHEED, LEED, XPS, Auger und SXRD, ein zusätzliches Werkzeug zur Charakterisierung von Oberflächen. Da die Frozen-Phonon-Näherung nicht elementarer Bestandteil des hier benutzten DFT-Programmcodes fhi96md ist, wurde diese Erweiterung im Rahmen dieser Arbeit durchgeführt. Die theoretische Berechnung von Schwingungsfrequenzen mit dynamischen Matrizen ist in einem Unterkapitel dargestellt. Die so berechneten Schwingungsfrequenzen für verschiedene Oberflächen-Rekonstruktionen konnten erfolgreich am Beispiel der reinen BeTe(100)-Oberfläche mit den experimentell mit der UHV-Ramanspektroskopie beobachteten Frequenzen verglichen werden. So gelang erstmalig die optische identifizierung von rekonstruktionsinduzierten Eigenschwingungen einer Oberfläche. Nach detaillierter Kenntnis der BeTe(100)-Oberfläche wurde die Ramanspektroskopie als Sonde benutzt, um die Entwicklung der BeTe-Oberfläche bei unterschiedlichen Behandlungen (Modifikation) zu verfolgen. Dabei dienten die früheren Ergebnisse als Referenzpunkte, um die modifizierten Spektren zu erklären. Zusätzlich wurde ein Konzept zur Passivierung der Te-reichen BeTe(100)-Oberfläche entwickelt, um diese Proben ohne einen technisch aufwendigen UHV-Transportbehälter über grössere Entfernungen transportieren zu können (z.B. zu Experimenten an einem Synchrotron). Mit der RAS wurden auch die Oberflächen von weiteren Gruppe II-Telluriden, nämlich die Te-reiche (2x1) CdTe(100)-Oberfläche, die Te-reiche (2x1) MnTe(100)-Oberfläche und die Hg-reiche c(2x2) HgTe(100)-Oberfläche untersucht. Schließlich wurde der Wachstumsstart von CdSe auf der BeTe(100)-Oberfläche im Bereich weniger Monolagen (1-5 ML) CdSe analysiert, wobei die hohe Empfindlichkeit der Ramanspektroskopie bereits den Nachweis einer Monolage CdSe erlaubte. N2 - In this thesis optical spectroscopy, especially Raman spectroscopy (RS) and reflection anisotropy spectroscopy (RAS), was used for characterisation of II-VI-semiconductor surfaces. For the experimental studies a specially designed UHV-optical chamber was applied. The unique combination of a state of the art molecular beam epitaxy (MBE) facility with this UHV-optical chamber distinctly proved that optical spectroscopy is a powerfull tool for analyzing the structural properties (e.g. reconstructions) and the chemical bindings at a surface, as well as its dynamical properties. Beside the experimental activities, first principles calculations within the framework of density functional theory (DFT) and local density approximation (LDA) were performed. Therefore the geometrical, statical properties (e.g. atomic positions) of the surface and near-surface atoms could be determined. Additionally, their dynamical properties (e.g. displacement patterns and vibrational frequencies) were calculated with the frozen phonon approximation. This combination of experimental and theoretical determination of the surface dynamics offers an additional tool for surface characterisation beside the classical methods for surface analysis like RHEED, LEED, XPS, Auger and SXRD. Because frozen phonon calculations do not constitute an integral part of the available DFT programm code fhi96md, the extension was performed as a part of this thesis. The theoretical calculation of vibration frequencies with dynamical matrices is described in one of the subsections. The frequencies calculated in this way for different surface reconstructions were successfully compared with the experimentally observed frequencies in the case of pure BeTe(100) surfaces. Thus, the first optical identification of reconstruction-induced surface eigenvibration modes was realized. After this detailed knowledge of the BeTe(100) surface Raman spectroscopy was used as a probe to track the changes of the BeTe surface under different modifications. In doing so the previous result on the pure BeTe surfaces served as references to explain the modified spectra. Besides a concept for passivation of the tellurium rich BeTe(100) surface was developed to ease the transport to far away laboratories without using extensive UHV facilities. Additionally the surfaces of further group II-tellurides (e.g. Te-rich (2x1) CdTe(100), Te-rich (2x1) MnTe(100) and Hg-rich c(2x2) HgTe) has been investigated with the RAS. Finally the start of the CdSe growth on the BeTe(100) surface was analyzed in the region of 1-5 monolayers of CdSe. Within these experiments a high sensitivity for detecting even one monolayer of CdSe was achieved by Raman spectroscopy. KW - Zwei-Sechs-Halbleiter KW - Halbleiteroberfläche KW - Optische Eigenschaft KW - optisch KW - spektroskopie KW - Halbleiter KW - Oberfläche KW - DFT KW - optical KW - spectroscopy KW - semiconductor KW - surface KW - DFT Y1 - 2003 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-8722 ER - TY - JOUR A1 - Reinermann, Sophie A1 - Asam, Sarah A1 - Kuenzer, Claudia T1 - Remote Sensing of Grassland Production and Management - A Review JF - Remote Sensing N2 - Grasslands cover one third of the earth’s terrestrial surface and are mainly used for livestock production. The usage type, use intensity and condition of grasslands are often unclear. Remote sensing enables the analysis of grassland production and management on large spatial scales and with high temporal resolution. Despite growing numbers of studies in the field, remote sensing applications in grassland biomes are underrepresented in literature and less streamlined compared to other vegetation types. By reviewing articles within research on satellite-based remote sensing of grassland production traits and management, we describe and evaluate methods and results and reveal spatial and temporal patterns of existing work. In addition, we highlight research gaps and suggest research opportunities. The focus is on managed grasslands and pastures and special emphasize is given to the assessment of studies on grazing intensity and mowing detection based on earth observation data. Grazing and mowing highly influence the production and ecology of grassland and are major grassland management types. In total, 253 research articles were reviewed. The majority of these studies focused on grassland production traits and only 80 articles were about grassland management and use intensity. While the remote sensing-based analysis of grassland production heavily relied on empirical relationships between ground-truth and satellite data or radiation transfer models, the used methods to detect and investigate grassland management differed. In addition, this review identified that studies on grassland production traits with satellite data often lacked including spatial management information into the analyses. Studies focusing on grassland management and use intensity mostly investigated rather small study areas with homogeneous intensity levels among the grassland parcels. Combining grassland production estimations with management information, while accounting for the variability among grasslands, is recommended to facilitate the development of large-scale continuous monitoring and remote sensing grassland products, which have been rare thus far. KW - pasture KW - use intensity KW - grazing KW - mowing KW - productivity KW - biomass KW - yield KW - satellite data KW - optical KW - SAR Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-207799 SN - 2072-4292 VL - 12 IS - 12 ER - TY - JOUR A1 - Reinermann, Sophie A1 - Gessner, Ursula A1 - Asam, Sarah A1 - Ullmann, Tobias A1 - Schucknecht, Anne A1 - Kuenzer, Claudia T1 - Detection of grassland mowing events for Germany by combining Sentinel-1 and Sentinel-2 time series JF - Remote Sensing N2 - Grasslands cover one-third of the agricultural area in Germany and play an important economic role by providing fodder for livestock. In addition, they fulfill important ecosystem services, such as carbon storage, water purification, and the provision of habitats. These ecosystem services usually depend on the grassland management. In central Europe, grasslands are grazed and/or mown, whereby the management type and intensity vary in space and time. Spatial information on the mowing timing and frequency on larger scales are usually not available but would be required in order to assess the ecosystem services, species composition, and grassland yields. Time series of high-resolution satellite remote sensing data can be used to analyze the temporal and spatial dynamics of grasslands. Within this study, we aim to overcome the drawbacks identified by previous studies, such as optical data availability and the lack of comprehensive reference data, by testing the time series of various Sentinel-2 (S2) and Sentinal-1 (S1) parameters and combinations of them in order to detect mowing events in Germany in 2019. We developed a threshold-based algorithm by using information from a comprehensive reference dataset of heterogeneously managed grassland parcels in Germany, obtained by RGB cameras. The developed approach using the enhanced vegetation index (EVI) derived from S2 led to a successful mowing event detection in Germany (60.3% of mowing events detected, F1-Score = 0.64). However, events shortly before, during, or shortly after cloud gaps were missed and in regions with lower S2 orbit coverage fewer mowing events were detected. Therefore, S1-based backscatter, InSAR, and PolSAR features were investigated during S2 data gaps. From these, the PolSAR entropy detected mowing events most reliably. For a focus region, we tested an integrated approach by combining S2 and S1 parameters. This approach detected additional mowing events, but also led to many false positive events, resulting in a reduction in the F1-Score (from 0.65 of S2 to 0.61 of S2 + S1 for the focus region). According to our analysis, a majority of grasslands in Germany are only mown zero to two times (around 84%) and are probably additionally used for grazing. A small proportion is mown more often than four times (3%). Regions with a generally higher grassland mowing frequency are located in southern, south-eastern, and northern Germany. KW - earth observation KW - remote sensing KW - harvests KW - cutting events KW - grazing KW - pasture KW - meadow KW - optical KW - SAR KW - PolSAR KW - InSAR Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-267164 SN - 2072-4292 VL - 14 IS - 7 ER -