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Purpose: We aim to provide an overview of the conventional single photon emission computed tomography (SPECT) and emerging positron emission tomography (PET) catecholamine analogue tracers for assessing myocardial nerve integrity, in particular focusing on \(^{18}\)F-labeled tracers.
Results: Increasingly, the cardiac sympathetic nervous system (SNS) is being studied by non-invasive molecular imaging approaches. Forming the backbone of myocardial SNS imaging, the norepinephrine (NE) transporter at the sympathetic nerve terminal plays a crucial role for visualizing denervated myocardium: in particular, the single-photon-emitting NE analogue \(^{123}\)I-meta-Iodobenzylguanidine (\(^{123}\)I-mIBG) has demonstrated favorable results in the identification of patients at a high risk for cardiac death. However, cardiac neuronal PET agents offer several advantages inlcuding improved spatio-temporal resolution and intrinsic quantifiability. Compared to their \(^{11}\)C-labeled counterparts with a short half-life (20.4 min), novel \(^{18}\)F-labeled PET imaging agents to assess myocardial nerve integrity have the potential to revolutionize the field of SNS molecular imaging: The longer half-life of \(^{18}\)F (109.8 min) allows for more flexibility in the study design and delivery from central cyclotron facilities to smaller hospitals may lead to further cost reduction. A great deal of progress has been made by the first in-human studies of such \(^{18}\)F-labeled SNS imaging agents. Moreover, dedicated animal platforms open avenues for further insights into the handling of radiolabeled catecholamine analogues at the sympathetic nerve terminal. Conclusions: \(^{18}\)F-labeled imaging agents demonstrate key properties for mapping cardiac sympathetic nerve integrity and might outperform current SPECT-based or \(^{11}\)C-labeled tracers in the long run.
Shiga toxin producing E. coli strains (STEC) are a great concern to human health. Upon an infection with as few as 100 bacteria, humans can develop disease symptoms ranging from watery to bloody diarrhea or even develop the hemolytic uremic syndrome (HUS). The major factor contributing to the disease symptoms is Shiga toxin (Stx) which can bind to the eukaryotic cells in the intestine of the human and induce cell death via apoptosis. Based, among other things, on the microbiota composition, the impact of STEC can vary. Some bacteria of the microbiota can interfere with the colonization of STEC strains in the first place. Others cannot impair the colonization but interfere with the toxin production and there are still others which are even infected by stx encoding phages, being released from STEC strains. Those previously harmless bacteria subsequently contribute to the toxin increase and worsen the disease progression. Since the genetic information of Stx is encoded on a prophage, antibiotic treatment of patients can lead to an increased toxin and stx-phage release and is therefore not recommended. Several STEC epidemics in different countries, which even resulted in the death of some patients, demonstrated that there is an urgent need for alternative treatment strategies.
The E. coli strain Nissle 1917 (EcN) has been used as a probiotic to treat gastrointestinal infections for more than 100 years. It harbors several fitness factors which contribute to the establishment of an intact intestinal barrier in the human gut. Moreover, studies with EcN unraveled that the probiotic E. coli can interfere with the colonization of STEC strains and their toxin production. This study aimed to investigate if EcN could be a possible alternative or supplementary treatment strategy for STEC infected patients, or a preventive treatment for the patient’s close contact persons.
Therefore, EcN was firstly investigated for a possible stx-prophage integration into its’s genome which would eliminate it from being a potential treatment due to the possibility of disease worsening. Despite the presence of the stx-phage surface receptor YaeT, EcN demonstrated a complete resistance towards the lysis and the lysogeny by stx-phages, which was proven by PCR, phage-plaque assays and phage enrichment approaches. Transcriptome data could unravel that a lambdoid prophage in the genome of EcN is involved in the resistance towards the phage infection. Other commensal E. coli tested presented a stx-phage resistance as well and in silico analysis revealed that all of them harbor a complete lambdoid prophage besides the stx-phage susceptible K-12 strain MG1655. We assume that the resistance of EcN towards a stx-phage infection is connected to the presence of an intact lambdoid prophage which interferes with superinfection.
Further experiments regarding the impact of the microcin negative EcN mutant SK22D towards STEC strains depicted that SK22D did not only interfere with the toxin production but also negatively regulated the transcription of the entire stx-prophage in coculture with all STEC strains tested (O157:H7, O26:H11, O145:H25, O103:H2, O111:H- and two O104:H4 isolates from the 2011 outbreak in Germany). This influence on the pathogenic factor production was evinced to be cell contact independent as SK22D could even interfere with the pathogenic factor production when being separated from the STEC strain EDL933 by a Transwell membrane with the pore size of 0.4 µm. From this data we concluded, that factor(s) released by SK22D interfere with the lysis of STEC strains by stabilizing the lysogenic state.
Another positive aspect of EcN towards the pathogenicity of STEC strains was encountered when EcN was incubated with isolated stx-phages. The probiotic strain could reduce the infectivity of the phages towards a MG1655 lysis from ~ 1e7 pfus/ml to 0 after 44 h of incubation. Various approaches to determine the characteristics of the factor(s) of EcN which are involved in the phage inactivation depicted it to be a heat resistant stationary phase protein on the surface of EcN, which could be a component of its biofilm.
Regarding the protective role of EcN we could further evince that SK22D was capable of interfering with the lysogenic K 12 mediated increase of Stx and stx phages. Lysogenic K-12 strains were characterized by a huge increase of Stx and stx-phage production. The presence of SK22D anyhow, could interfere with this K-12 mediated pathogenic factor increase. Transwell and stx phage infection kinetics led to the proposal that SK22D interfered with the stx-phage infection of K-12 strains in the first place rather than disturbing the lysis of lysogenic K 12. The protection from the phage infection could be due to the growth of K 12 strains within the SK22D culture, whereby the phage susceptible strains are masked from phage detection.
Summarizing, this work could underline the beneficial attributes of EcN towards the STEC pathogenicity in vitro. These results should be considered as pioneers for future in vivo studies to enable EcN medication as a supportive STEC infection treatment strategy.
Marine sponge-associated actinomycetes are reservoirs of diverse natural products with novel biological activities. Their antibiotic potential has been well explored against a range of Gram positive and negative bacteria. However, not much is known about their anti-infective or anti-virulence potential against human pathogens. This Ph.D. project aimed to investigate the anti-infective (anti-Shiga toxin and anti-biofilm) potential of sponge-derived actinobacteria through identification and isolation of their bioactive metabolites produced and characterizing their mechanism of action by transcriptomics. This thesis is divided into three studies with the overall objective of exploring the anti-infective efficacy of actinomycetes-derived extracts and compound(s) that could possibly be used as future therapeutics.
The first study deals with investigation on the anti-Shiga toxin effects of sponge-associated actinomycetes. Diarrheal infections pose a huge burden in several developing and developed countries. Diarrheal outbreaks caused by Enterohemorrhagic Escherichia coli (EHEC) could lead to life-threatening complications like gastroenteritis and haemolytic uremic syndrome (HUS) if left untreated. Shiga toxin (Stx) produced by EHEC is a major virulence factor that negatively affects the human cells, leading them to death via apoptosis. Antibiotics are not prescribed against EHEC infections since they may enhance the risk of development of HUS by inducing the production and release of Stx from disintegrating bacteria and thereby, worsening the complications. Therefore, an effective drug that blocks the Stx production without affecting the growth needs to be urgently developed. In this study, the inhibitory effects of 194 extracts and several compounds originating from a collection of marine sponge-derived actinomycetes were evaluated against the Stx production in EHEC strain EDL933 with the aid of Ridascreen® Verotoxin ELISA assay kit. It was found that treatment with the extracts did not lead to significant reduction in Stx production. However, strepthonium A isolated from the culture of Streptomyces sp. SBT345 (previously cultivated from the Mediterranean sponge Agelas oroides) reduced the Stx production (at 80 μM concentration) in EHEC strain EDL933 without affecting the bacterial growth. The structure of strepthonium A was resolved by spectroscopic analyses including 1D and 2D-NMR, as well as ESI-HRMS and ESI-HRMS2 experiments. This demonstrated the possible application of strepthonium A in restraining EHEC infections.
VI
In the second study, the effect of marine sponge-associated actinomycetes on biofilm formation of staphylococci was assessed. Medical devices such as contact lenses, metallic implants, catheters, pacemakers etc. are ideal ecological niches for formation of bacterial biofilms, which thereby lead to device-related infections. Bacteria in biofilms are multiple fold more tolerant to the host immune responses and conventional antibiotics, and hence are hard-to-treat. Here, the anti-biofilm potential of an organic extract derived from liquid fermentation of Streptomyces sp. SBT343 (previously cultivated from the Mediterranean sponge Petrosia ficiformis) was reported. Results obtained in vitro demonstrated its anti-biofilm (against staphylococci) and non-toxic nature (against mouse macrophage (J774.1), fibroblast (NIH/3T3) and human corneal epithelial cell lines). Interestingly, SBT343 extract could inhibit staphylococcal biofilm formation on polystyrene, glass and contact lens surfaces without affecting the bacterial growth. High Resolution Fourier Transform Mass Spectrometry (HR-MS) analysis indicated the complexity and the chemical diversity of components present in the extract. Preliminary physio-chemical characterization unmasked the heat stable and non-proteinaceous nature of the active component(s) in the extract. Finally, fractionation experiments revealed that the biological activity was due to synergistic effects of multiple components present in the extract.
In the third study, anti-biofilm screening of 50 organic extracts generated from solid and liquid fermentation of 25 different previously characterized sponge-derived actinomycetes was carried out. This led to identification of the anti-biofilm organic extract derived from the solid culture of Streptomyces sp. SBT348 (previously cultivated from the Mediterranean sponge Petrosia ficiformis). Bioassay-guided fractionation was employed to identify the active fraction Fr 7 in the SBT348 crude extract. Further purification with semi-preparative HPLC led to isolation of the bioactive SKC1, SKC2, SKC3, SKC4 and SKC5 sub-fractions. The most active sub-fraction SKC3 was found to be a pure compound having BIC90 and MIC values of 3.95 μg/ml and 31.25 μg/ml against S. epidermidis RP62A. SKC3 had no apparent toxicity in vitro on cell lines and in vivo on the greater wax moth Galleria melonella larvae. SKC3 was stable to heat and enzymatic treatments indicating its non-proteinaceous nature. HR-MS analysis revealed the mass of SKC3 to be 1258.3 Da. Structure elucidation of SKC3 with the aid of 1D and 2D-NMR data is currently under investigation. Further, to obtain insights into the mode of action of SKC3 on S. epidermidis RP62A, RNA sequencing was done. Transcriptome data revealed that SKC3 was recognized by RP62A at 20 min and SKC3 negatively interfered with the central metabolism of staphylococci at 3 h. Taken
VII
together, these findings suggest that SKC3 could be a lead structure for development of new anti-staphylococcal drugs.
Overall, the results obtained from this work underscore the anti-infective attributes of actinomycetes consortia associated with marine sponges, and their applications in natural product drug discovery programs.
Understanding human navigation behavior has implications for a wide range of application scenarios. For example, insights into geo-spatial navigation in urban areas can impact city planning or public transport. Similarly, knowledge about navigation on the web can help to improve web site structures or service experience.
In this work, we focus on a hypothesis-driven approach to address the task of understanding human navigation: We aim to formulate and compare ideas — for example stemming from existing theory, literature, intuition, or previous experiments — based on a given set of navigational observations. For example, we may compare whether tourists exploring a city walk “short distances” before taking their next photo vs. they tend to "travel long distances between points of interest", or whether users browsing Wikipedia "navigate semantically" vs. "click randomly".
For this, the Bayesian method HypTrails has recently been proposed. However, while HypTrails is a straightforward and flexible approach, several major challenges remain:
i) HypTrails does not account for heterogeneity (e.g., incorporating differently behaving user groups such as tourists and locals is not possible), ii) HypTrails does not support the user in conceiving novel hypotheses when confronted with a large set of possibly relevant background information or influence factors, e.g., points of interest, popularity of locations, time of the day, or user properties, and finally iii) formulating hypotheses can be technically challenging depending on the application scenario (e.g., due to continuous observations or temporal constraints). In this thesis, we address these limitations by introducing various novel methods and tools and explore a wide range of case studies.
In particular, our main contributions are the methods MixedTrails and SubTrails which specifically address the first two limitations: MixedTrails is an approach for hypothesis comparison that extends the previously proposed HypTrails method to allow formulating and comparing heterogeneous hypotheses (e.g., incorporating differently behaving user groups). SubTrails is a method that supports hypothesis conception by automatically discovering interpretable subgroups with exceptional navigation behavior. In addition, our methodological contributions also include several tools consisting of a distributed implementation of HypTrails, a web application for visualizing geo-spatial human navigation in the context of background information, as well as a system for collecting, analyzing, and visualizing mobile participatory sensing data.
Furthermore, we conduct case studies in many application domains, which encompass — among others — geo-spatial navigation based on photos from the photo-sharing platform Flickr, browsing behavior on the social tagging system BibSonomy, and task choosing behavior on a commercial crowdsourcing platform. In the process, we develop approaches to cope with application specific subtleties (like continuous observations and temporal constraints). The corresponding studies illustrate the variety of domains and facets in which navigation behavior can be studied and, thus, showcase the expressiveness, applicability, and flexibility of our methods. Using these methods, we present new aspects of navigational phenomena which ultimately help to better understand the multi-faceted characteristics of human navigation behavior.
African trypanosomes are the causative agents of fatal diseases in humans and livestock. Trypanosomes show a complex lifecycle and shuttle between the transmitting vector, the tsetse (Glossina spec.), and the mammalian host. As a result of this the parasite undergoes tremendous changes in morphology and metabolism to adapt to the different living environments.
The two best-studied lifecycle stages are the procyclic forms (PCF) that live in the tsetse fly and the proliferative bloodstream form (BSF) that resides in the mammalian blood. The most conspicuous weapon that trypanosomes use to evade the host immune attack is a dense layer of a single protein type, the variant surface glycoprotein (VSG), which shields the entire cell surface. Immune evasion required high rates of surface membrane turnover and surface coat recycling.
Trypanosomes show highly polarised cell architecture with all major eukaryotic organelles (endoplasmic reticulum, Golgi apparatus, endosomal apparatus, lysosome, mitochondrion and peroxisome-like glycosomes) generally present in single copy. Furthermore, trypanosomes possess a single flagellum, which is important not only for cellular motility but also for cell division.
How the duplication of all these cellular components is coordinated in order to progresss through the cell division cycle is poorly understood.
We used trypanosomes as a model organism due to the relative simplicity and the polarised nature of their cell architecture and determined the duplication of all their compartments. This was only possible due to a new synchronisation approach developed during this project.
In the first part of the thesis a precise temporal map of the cell division cycle of the BSF T. brucei cell division cycle was generated. By the use of well-described morphological markers (K/N status, new flagellum outgrowth and DNA synthesis) the position of individual cells was determined with high temporal resolution; this allowed us for the first time to synchronise a cell population in silico without affecting the naturally asynchronous growth.
In the second part of the thesis we used this tool to follow duplication events of the Major organelles during progression through the cell division cycle. We precisely determined the time points of organelle duplication and found that it is ordered in trypanosomes. Furthermore we found that BSF T. brucei cells do not grow continuously, cell size start to increase rapidly, during a short period of time, late in the cell division cycle. We speculate that the initiation of cell volume increase is temporally separated from the formation of all secretory organelles in order to ensure maintenance of the protective coat, which must remain intact at all times in order for BSF trypanosomes to be able to evade the host immune response.
Reliable standards and criteria for somatostatin receptor (SSTR) positron emission tomography (PET) are still lacking. We herein propose a structured reporting system on a 5-point scale for SSTR-PET imaging, titled SSTR-RADS version 1.0, which might serve as a standardized assessment for both diagnosis and treatment planning in neuroendocrine tumors (NET). SSTR-RADS could guide the imaging specialist in interpreting SSTR-PET scans, facilitate communication with the referring clinician so that appropriate work-up for equivocal findings is pursued, and serve as a reliable tool for patient selection for planned Peptide Receptor Radionuclide Therapy.
Characterization of motility and erythrocyte adherence as virulence factors in African trypanosomes
(2018)
Pathogens causing African animal trypanosomiasis (AAT), the major livestock disease in sub-Saharan Africa, belong to the salivarian group of the African trypanosomes, which are transmitted by the bite of the tsetse fly (Glossina spec.). T. vivax, T. congolense and T. brucei brucei are major pathogens of cattle in particular, causing nagana, with dramatic socio-economic consequences for the affected regions. The parasites additionally have a huge reservoir of other livestock and wild animal hosts. T. brucei, the species which also includes the subspecies pathogenic to humans causing sleeping sickness, has been extensively studied as the cultivatable model trypanosome. But less is known about the other salivarian species, which are not routinely held in culture, if at all possible. A hallmark of trypanosomal lifestyle is the protozoan flagellates incessant motility, which enables them to populate an enormous range of habitats in very diverse hosts. We were now able to characterize, for the first time with high spatiotemporal resolution microscopy, the swimming behaviour and mechanism of the most relevant salivarian species isolated directly from blood. We show the influence of viscosity on the motility of bloodstream form (BSF) cells and simulate their movement between erythrocytes, giving a clear picture of how all analyzed species move under varying environmental conditions. We show that although the basic mechanism of flagellar motility applies to all analyzed species, there are clear morphological differences that produce different reactions to the physical environment. We could define specific conditions for highly increased swimming persistence and speed for compared to the behaviour in standard culture. These results have important implications for the parasites survival strategies in the host, e.g. regarding the capacity for antibody clearance. Although we show all species to effectively remove antibodies from the cell surface, T. congolense differed markedly in its motility behaviour, which gives rise to interesting questions about this species behaviour in the bloodstream. Most of the T. congolense parasites (and to a lesser extent T. vivax) adhere to sheep erythrocytes. Further in vitro studies showed that T. congolense and T. vivax adhered to rabbit, goat, pig and cattle erythrocytes- but binding behaviour was absent in murine blood. Notably, both T. brucei and T. evansi lacked adherence to all studied host erythrocytes. Generally, attachment to blood cells caused reduction of swimming velocities. Judging from its cell architecture, as well as the motility studies in higher media viscosity and in micropillar arrays, T. congolense is not adapted to swim at high speeds in the mammalian bloodstream. Low swimming speeds could allow these purely intravascular parasites to remain bound to the host erythrocytes.
Background: \(^{123}\)I-metaiodobenzylguanidine (mIBG) provides independent prognostic value for risk stratification among heart failure patients, but the use of concomitant medication should not impact its quantitative information. We aimed to evaluate the four most-prescribed antidepressants currently used as a first‑line treatment for patients with major depressive disorder (MDD) and their potential on altering mIBG imaging results.
Methods: The inhibition effect of four different types of antidepressants (desipramine, escitalopram, venlafaxine and bupropion) for MDD treatment on \(^{131}\)I-mIBG uptake was assessed by in-vitro cell uptake assays using human neuroblastoma SK-N-SH cells. The half maximal inhibitory concentration (IC50) of tracer uptake was determined from dose-response curves. To evaluate the effects of IV pretreatment with desipramine (1.5 mg/kg) and escitalopram (2.5, 15 mg/kg) on mIBG cardiac uptake, in-vivo planar 123I-mIBG scans in healthy New Zealand White Rabbits were conducted. Results: The IC50 values of desipramine, escitalopram, venlafaxine and bupropion on \(^{131}\)I-mIBG cellular uptake were 11.9 nM, 7.5 μM, 4.92 μM, and 12.9 μM, respectively. At the maximum serum concentration (Cmax, as derived by previous clinical trials), the inhibition rates of 131I-mIBG uptake were 90.6 % for desipramine, 25.5 % for venlafaxine, 11.7 % for bupropion and 0.72 % for escitalopram. A low inhibition rate for escitalopram in the cell uptake study triggered investigation of an in-vivo rabbit model: with dosage considerably higher than clinical practice, the non-inhibitory effect of escitalopram was confirmed. Furthermore, pretreatment with desipramine led to a marked reduction of cardiac 123I-mIBG uptake.
Conclusions: In the present in-vitro binding assay and in-vivo rabbit study, the selective-serotonin reuptake inhibitor escitalopram had no major impact on neuronal cardiac mIBG uptake within therapeutic dose ranges, while other types of first-line antidepressants for MDD treatment led to a significant decrease. These preliminary results warrant further confirmatory clinical trials regarding the reliability of cardiac mIBG imaging, in particular, if the patient’s neuropsychiatric status would not tolerate withdrawal of a potentially norepinephrine interfering antidepressant.
As a cradle of ancient Chinese civilization, the Yellow River Basin has a very long human-environment interrelationship, where early anthropogenic activities re- sulted in large scale landscape modifications. Today, the impact of this relationship
has intensified further as the basin plays a vital role for China’s continued economic
development. It is one of the most densely-populated, fastest growing, and most dynamic
regions of China with abundant natural and environmental resources providing a livelihood for almost 190 million people. Triggered by fundamental economic reforms, the
basin has witnessed a spectacular economic boom during the last decades and can be
considered as an exemplary blueprint region for contemporary dynamic Global Change
processes occurring throughout the country, which is currently transitioning from an
agrarian-dominated economy into a modern urbanized society. However, this resourcesdemanding growth has led to profound land use changes with adverse effects on the Yellow
River social-ecological systems, where complex challenges arise threatening a long-term
sustainable development.
Consistent and continuous remote sensing-based monitoring of recent and past land
cover and land use change is a fundamental requirement to mitigate the adverse impacts
of Global Change processes. Nowadays, technical advancement and the multitude of
available satellite sensors, in combination with the opening of data archives, allow the
creation of new research perspectives in regional land cover applications over heterogeneous landscapes at large spatial scales. Despite the urgent need to better understand the
prevailing dynamics and underlying factors influencing the current processes, detailed
regional specific land cover data and change information are surprisingly absent for this
region.
In view of the noted research gaps and contemporary developments, three major objectives are defined in this thesis. First (i), the current and most pressing social-ecological
challenges are elaborated and policy and management instruments towards more sustainability are discussed. Second (ii), this thesis provides new and improved insights on
the current land cover state and dynamics of the entire Yellow River Basin. Finally (iii),
the most dominant processes related to mining, agriculture, forest, and urban dynamics
are determined on finer spatial and temporal scales.
The complex and manifold problems and challenges that result from long-term abuse
of the water and land resources in the basin have been underpinned by policy choices,
cultural attitude, and institutions that have evolved over centuries in China. The tremendous economic growth that has been mainly achieved by extracting water and exploiting
land resources in a rigorous, but unsustainable manner, might not only offset the economic benefits, but could also foster social unrest. Since the early emergence of the first Chinese dynasties, flooding was considered historically as a primary issue in river management and major achievements have been made to tame the wild nature of the Yellow
River. Whereas flooding is therefore largely now under control, new environmental and
social problems have evolved, including soil and water pollution, ecological degradation,
biodiversity decline, and food security, all being further aggravated by anthropogenic
climate change. To resolve the contemporary and complex challenges, many individual
environmental laws and regulations have been enacted by various Chinese ministries.
However, these policies often pursue different, often contradictory goals, are too general
to tackle specific problems and are usually implemented by a strong top-down approach.
Recently, more flexible economic and market-based incentives (pricing, tradable permits,
investments) have been successfully adopted, which are specifically tailored to the respective needs, shifting now away from the pure command and regulating instruments.
One way towards a more holistic and integrated river basin management could be the
establishment of a common platform (e.g. a Geographical Information System) for data
handling and sharing, possibly operated by the Yellow River Basin Conservancy Commission (YRCC), where available spatial data, statistical information and in-situ measures
are coalesced, on which sustainable decision-making could be based. So far, the collected
data is hardly accessible, fragmented, inconsistent, or outdated.
The first step to address the absence and lack of consistent and spatially up-to-date
information for the entire basin capturing the heterogeneous landscape conditions was
taken up in this thesis. Land cover characteristics and dynamics were derived from
the last decade for the years 2003 and 2013, based on optical medium-resolution hightemporal MODIS Normalized Differenced Vegetation Index (NDVI) time series at 250 m.
To minimize the inherent influence of atmospheric and geometric interferences found in
raw high temporal data, the applied adaptive Savitzky-Golay filter successfully smoothed
the time series and substantially reduced noise. Based on the smoothed time series
data, a large variety of intra-annual phenology metrics as well as spectral and multispectral annual statistics were derived, which served as input variables for random
forest (RF) classifiers. High quality reference data sets were derived from very high
resolution imagery for each year independently of which 70 % trained the RF models. The
accuracy assessments for all regionally specific defined thematic classes were based on the
remaining 30 % reference data split and yielded overall accuracies of 87 % and 84 % for
2003 and 2013, respectively. The first regional adapted Yellow River Land Cover Products
(YRB LC) depict the detail spatial extent and distribution of the current land cover status
and dynamics. The novel products overall differentiate overall 18 land cover and use
classes, including classes of natural vegetation (terrestrial and aquatic), cultivated classes,
mosaic classes, non-vegetated, and artificial classes, which are not presented in previous
land cover studies so far.
Building on this, an extended multi-faceted land cover analysis on the most prominent
land cover change types at finer spatial and temporal scales provides a better and more
detailed picture of the Yellow River Basin dynamics. Precise spatio-temporal products
about mining, agriculture, forest, and urban areas were examined from long-trem Landsat
satellite time series monitored at annual scales to capture the rapid rate of change in four
selected focus regions. All archived Landsat images between 2000 and 2015 were used to
derive spatially continuous spectral-temporal, multi-spectral, and textural metrics. For
each thematic region and year RF models were built, trained and tested based on a stablepixels reference data set. The automated adaptive signature (AASG) algorithm identifies those pixels that did not change between the investigated time periods to generate a
mono-temporal reference stable-pixels data set to keep manual sampling requirements
to a minimum level. Derived results gained high accuracies ranging from 88 % to 98 %.
Throughout the basin, afforestation on the Central Loess Plateau and urban sprawl are
identified as most prominent drivers of land cover change, whereas agricultural land
remained stable, only showing local small-scale dynamics. Mining operations started in
2004 on the Qinghai-Tibet Plateau, which resulted in a substantial loss of pristine alpine
meadows and wetlands.
In this thesis, a novel and unique regional specific view of current and past land cover
characteristics in a complex and heterogeneous landscape was presented by using a
multi-source remote sensing approach. The delineated products hold great potential for
various model and management applications. They could serve as valuable components
for effective and sustainable land and water management to adapt and mitigate the
predicted consequences of Global Change processes.