TY - JOUR A1 - Atanasov, Georgi A1 - Benkert, Christoph A1 - Thelen, Armin A1 - Tappe, Dennis A1 - Frosch, Matthias A1 - Teichmann, Dieter A1 - Barth, Thomas F. E. A1 - Wittekind, Christian A1 - Schubert, Stefan A1 - Jonas, Sven T1 - Alveolar echinococcosis-spreading disease challenging clinicians: A case report and literature review JF - World Journal of Gastroenterology N2 - Human alveolar echinococcosis (AE) is a potentially deadly disease; recent studies have shown that the endemic area of Echinococcus multilocularis, its causative agent, is larger than previously known. This disease has low prevalence and remains underreported in Europe. Emerging clinical data show that diagnostic difficulties are still common. We report on a 76-year old patient suffering from AE lesions restricted to the left lobe of the liver who underwent a curative extended left hemihepatectomy. Prior to the resection a liver biopsy under the suspicion of an atypical malignancy was performed. After the intervention he developed a pseudoaneurysm of the hepatic artery that was successfully coiled. Surprisingly, during surgery, the macroscopic appearance of the tumour revealed a growth pattern that was rather typical for cystic echinococcosis (CE), i.e., a gross tumour composed of multiple large vesicles with several centimeters in diameter. In addition, there were neither extensive adhesions nor infiltrations of the neighboring pancreas and diaphragm as was expected from previous imaging results. The unexpected diagnosis of AE was confirmed by definite histopathology, specific polymerase chain reaction and serology results. This is a rare case of unusual macroscopic presentation of AE that posed immense diagnostic challenges and had an eventful course. To our knowledge this is the first case of an autochthonous infection in this particular geographic area of Germany, the federal state of Saxony. This report may provide new hints for an expanding area of risk for AE and emphasizes the risk of complications in the scope of diagnostic procedures and the limitations of modern radiological imaging. KW - hemihepatectomy KW - multilocularis KW - Germany KW - Europe KW - liver KW - alveolar echinococcosis KW - echinococcus multilocularis KW - autochthonous infection KW - liver resection Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-131525 VL - 19 IS - 26 ER - TY - RPRT A1 - Krause, Theresa A1 - Fischer, Doris T1 - Data as the new driver for growth? European and Chinese perspectives on the new factor of production T1 - Sind Daten der neue Wachstumstreiber? Europäische und chinesische Perspektiven auf den neuen Produktionsfaktor N2 - Amidst an emerging international systemic competition between China and the Western world, China’s sustained high economic growth rates, technological innovations and successful control of the corona pandemic have raised doubts over the West’s systemic capabilities. In this context, data resources and regimes play an increasing role. This research note looks at data as present and future driver of innovation and economic growth in more detail. It compares the Chinese and the European perspective on data as well as their respective (planned) policy measures in order to draw tentative conclusions about their different approaches' implications. T3 - CBE Research Note - 1/2021 KW - China KW - Europa KW - Wirtschaftspolitik KW - drivers of growth KW - China KW - data economics KW - European Union KW - growth KW - economic policy KW - data KW - Europe Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-229794 ER - TY - THES A1 - Hu, Zhongyang T1 - Earth Observation for the Assessment of Long-Term Snow Dynamics in European Mountains - Analysing 35-Year Snowline Dynamics in Europe Based on High Resolution Earth Observation Data between 1984 and 2018 T1 - Erdbeobachtung für die Beurteilung von Langzeit Schneedynamiken in Europäischen Gebirgen - Die Analyse von Scheegrenzendynamiken über 35 Jahre in Europa basierend auf hochauflösenden Erdbeobachtungsdaten zwischen 1984 und 2018 N2 - Worldwide, cold regions are undergoing significant alterations due to climate change. Snow, the most widely distributed cold region component, is highly sensitive to climate change. At the same time, snow itself profoundly impacts the Earth’s energy budget, biodiversity, and natural hazards, as well as hydropower management, freshwater management, and winter tourism/sports. Large parts of the cold regions in Europe are mountain areas, which are densely populated because of the various ecosystem services and socioeconomic well-being in mountains. At present, severe consequences caused by climate change have been observed in European mountains and their surrounding areas. Yet, large knowledge gaps hinder the development of effective regional and local adaptation strategies. Long-term and evidence-based regional studies are urgently needed to enhance the comprehension of regional responses to climate change. Earth Observation (EO) provides long-term consistent records of the Earth’s surface. It is a great alternative and/or supplement to conventional in-situ measurements which are usually time-consuming, cost-intensive and logistically demanding, particularly for the poor accessibility of cold regions. With the assistance of EO, land surface dynamics in cold regions can be observed in an objective, repeated, synoptic and consistent way. Thanks to free and open data policies, long-term archives such as Landsat Archive and Sentinel Archive can be accessed free-of-charge. The high- to medium-resolution remote sensing imagery from these freely accessible archives gives EO-based time series datasets the capability to depict snow dynamics in European mountains from the 1980s to the present. In order to compile such a dataset, it is necessary to investigate the spatiotemporal availability of EO data, and develop a spatiotemporally transferable framework from which one can investigate snow dynamics. Among the available EO image archives, the Landsat Archive has the longest uninterrupted records of the Earth’s land surface. Furthermore, its 30 m spatial resolution fulfils the requirements for snow monitoring in complex terrains. Landsat data can yield a time series of snow dynamics in mountainous areas from 1984 to the present. However, severe Landsat data gaps have occurred across certain regions of Europe. Moreover, the Landsat Level 1 Precision and Terrain (L1TP) data is scarcer (up to 50% less) in high-latitude mountainous areas than in low-latitude mountainous areas. Given the abovementioned facts, the Regional Snowline Elevation (RSE) is selected to characterize the snow dynamics in mountainous areas, as it can handle cloud obstructions in the optical images. In this thesis, I present a five-step framework to derive and densify RSE time series in European mountains, i.e. (1) pre-processing, (2) snow detection, (3) RSE retrieval, (4) time series densification, and (5) Regional Snowline Retreat Curve (RSRC) production. The results of the intra-annual RSE variations show a uniquely high variation in the beginning of the ablation seasons in the Alpine catchment Tagliamento, mainly toward higher elevation. As for inter-annual variations of RSE, median RSE increases in all selected catchments, with an average speed of around 4.66 m ∙ a−1 (median) and 5.87 m ∙ a−1 (at the beginning of the ablation season). The fastest significant retreat is observed in the catchment Drac (10.66 m ∙ a−1, at the beginning of the ablation season), and the slowest significant retreat is observed in the catchment Uzh (1.74 m ∙ a−1, at the beginning of the ablation season). The increase of RSEs at the beginning of the ablation season is faster than the median RSEs, whose average difference is nearly 1.21 m ∙ a−1, particularly in the catchment Drac (3.72 m ∙ a−1). The results of the RSRCs show a significant rise in RSEs at the beginning of the ablation season, except for the Alpine catchment Alpenrhein and Var, and the Pyrenean catchment Ariege. It indicates that 11.8 and 3.97 degrees Celsius less per year are needed for the regional snowlines to reach the middle point of the RSRC in the Tagliamento and Tysa, respectively. The variation of air temperature is regarded as an example of a potential climate driver in this thesis. The retrieved monthly mean RSEs are highly correlated (mean correlation coefficient "R" ̅ = 0.7) with the monthly temperature anomalies, which are more significant in months with extremely low/high temperature. Another case study that investigates the correlation between river discharges and RSEs is carried out to demonstrate the potential consequences of the derived snowline dynamics. The correlation analysis shows a good correlation between river discharges and RSEs (correlation coefficient, R=0.52). In this thesis, the developed framework signifies a better understanding of the snow dynamics in mountain areas, as well as their potential triggers and consequences. Nonetheless, an urgent need persists for: (1) validation data to assess long-term snow-related observations based on high-resolution EO data; (2) further studies to reveal interactions between snow and its ambient environment; and (3) regional and local adaptation-strategies coping with climate change. Further studies exploring the above-mentioned research gaps are urgently needed in the future. N2 - Weltweit erleben kalte Regionen signifikante Veränderungen durch den Klimawandel. In kalten Regionen ist der Schnee die am weitesten verbreitete Komponente, welche sehr sensibel auf Klimaänderungen reagiert. Zugleich beeinflusst der Schnee selbst das Energiebudget der Erde, die Biodiversität, Naturgefahren sowie Wasserenergiegewinnung, Süßwassergewinnung, Wintertourismus und Wintersport. Große Teile der kalten Regionen in Europa sind Gebirgsregionen. Diese sind dicht besiedelt, da Gebirgsregionen verschiedenste Ökosystemservices bereitstellen und sozioökonomisches Wohlbefinden ermöglichen. Heute kann man schwerwiegende Konsequenzen in Europäischen Gebirgen und deren angrenzenden Gebieten wahrnehmen. Dennoch verhindern große Wissenslücken die Entwicklung effektiver und regionaler/lokaler Anpassungsstrategien. Um regionaler Auswirkungen durch den Klimawandel besser verstehen zu können, ist es enorm wichtig Langzeitstudien und beweisorientierte regionale Studien durchzuführen. Erdbeobachtung (EO) bietet durchgängige Langzeitaufzeichnungen der Erdoberfläche. Dies ist eine großartige Alternative und/oder Ergänzung zu konventionellen in-situ Messungen, welche meist zeitaufwändig, teuer und logistisch herausfordernd sind – vor allem in kalten Regionen, die schwer zugänglich sind. Mit der Hilfe von Erdbeobachtung können Oberflächendynamiken objektiv, wiederholt, synoptisch und kontinuierlich aufgenommen werden. Dank freier und offener Datenpolitik, Langzeitmissionen wie Landsat und Sentinel sind diese Daten inzwischen ohne zusätzliche Kosten zugänglich. Durch die oben genannten Rahmenbedingungen, besteht die Möglichkeit aus hoch bis mittel aufgelöste Satellitenbilder erdbeobachtungsbasierte Zeitreihen zu erstellen, die die Schneedynamiken in Europäischen Gebirgen abbilden. Um dieses Ziel zu erreichen, muss die räumliche und zeitliche Verfügbarkeit von Erdbeobachtungsdaten überprüft werden und ein Rahmenwerk geschaffen werden (übertragbar in Zeit und Raum), um Schneedynamiken aus Erdbeobachtungsdaten großflächig ableiten zu können. Unter den verfügbaren Erdbeobachtungsarchiven bietet das Landsat Archiv die längsten und kontinuierlichsten Aufzeichnungen der Landoberfläche. Zudem erfüllt die räumliche Auflösung von 30 m die Anforderungen, Schnee in komplexem Terrain zu monitoren. Basierend auf Landsat L1TP Daten (z.B. terrainkorrigiert) ist es möglich, Zeitreihen von Schneedynamiken in Gebirgsregionen zwischen 1984 und 1991/1999 zu erstellen. Des Weiteren ist Landsat L1TP in hohen Breitengraden seltener verfügbar (bis zu 50 % weniger) als in Gebirgsregionen der gemäßigten Breiten. Basierend auf den oben genannten Fakten wurde die Regionale Höhe der Schneefallgrenze (RSE) ausgewählt um Schneedynamiken in Gebirgsregionen zu charakterisieren, da diese Wolken in optischen Szenen bewältigen kann. In dieser Arbeit wurde ein fünf-Stufen Rahmenwerk geschaffen, um RSE-Zeitserien in Europäischen Gebirgen abzuleiten und zu verdichten. Die Prozessierungskette besteht aus (1) Vorprozessierung, (2) Schneedetektion, (3) RSE-Ableitung, (4) Zeitreihenverdichtung und (5) Erstellung einer regionalen Schneegrenzen-Rückgangsfunktion (RSRC). Die Ergebnisse der intra-annuellen RSE Variationen zeigen eine einzigartige hohe Variation im Beginn der Abschmelzsaison im alpinen Einzugsgebiet Tagliamento, meist in höheren Gebieten. Wie für die inter-annuellen Variationen des RSE, steigt auch der Median des RSE in allen ausgewählten Einzugsgebieten mit einer durchschnittlichen Geschwindigkeit von 4.66 m ∙ a−1 (median) und 5.87 m ∙ a−1 (zum Beginn der Schmelze). Der schnellste signifikante Rückgang kann im Einzugsgebiet Drac (10.66 m ∙ a−1, Beginn der Schmelze) beobachtet werden, der langsamste Rückgang im Einzugsgebiet Uzh (1.74 m ∙ a−1, Beginn der Schmelze). Der Anstieg des RSE zu Beginn der Schmelzsaison ist schneller als der Median des RSE, dessen mittlere Differenz 1.21 m ∙ a−1 beträgt. Insbesondere für das Drac Einzugsgebiet (3.72 m ∙ a−1). Die Ergebnisse des RSRC zeigen signifikante Anstiege des RSE zu Beginn des Schmelzsaison, ausgenommen davon sind die alpinen Einzugsgebiete Alpenrhein und Var und das Einzugsgebiet Ariege in den Pyrenäen. Dies lässt darauf zurückschließen, dass 11.8 °C und 3.97 °C Grad weniger pro Jahr nötig sind für Tagliamento und Tysa, damit die regionalen Schneegrenzen den Mittelpunkt des RSRC erreicht. Zudem wird die Variation der Lufttemperatur als beispielhafter Treiber des Klimas in dieser Thesis gesehen. Die monatlich abgeleiteten mittleren RSE korrelieren stark (mittlerer korrelations Coeffizient R ̅ = 0.7) mit monatlichen Temperaturanomalien. In Monaten mit extrem hohen/tiefen Temperaturen ist die Korrelation am stärksten. Ein anderes Fallbeispiel untersucht die Korrelation zwischen Abfluss in Flüssen und RSE, um die potenziellen Konsequenzen der abgeleiteten Schneefallgrenzendynamiken zu ermitteln. Die Korrelationsanalyse weist eine gute Korrelation auf (R=0.52). Das in dieser Arbeit entwickelte Rahmenwerk ist nur ein Beginn, um das Wissen über Schneedynamiken in Gebirgsregionen zu verbessern und potentiell auslösende Faktoren und Konsequenzen zu verstehen. Dennoch wird folgendes dringend benötigt: (1) Validierungsdaten für schneebasierte Langzeitbeobachtungen aus hochaufgelösten Erdbeobachtungsdaten; (2) weitere Studien zu Interaktionen zwischen Schnee und der umgebende Umwelt; und (3) regionale und lokale Anpassungsstrategien, um Auswirkungen des Klimawandels zu meistern. Weitere Studien in den oben genannten Punkten werden in der Zukunft stark frequentiert sein, damit Wissens- und Forschungslücken geschlossen werden können. KW - Fernerkundung KW - Schnee KW - Europa KW - Remote Sensing KW - Snow KW - Europe Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-200441 ER - TY - JOUR A1 - Garcia-Larsen, Vanessa A1 - Arthur, Rhonda A1 - Potts, James F. A1 - Howarth, Peter H. A1 - Ahlström, Matti A1 - Haahtela, Tari A1 - Loureiro, Carlos A1 - Bom, Ana Todo A1 - Brożek, Grzegorz A1 - Makowska, Joanna A1 - Kowalski, Marek L. A1 - Thilsing, Trine A1 - Keil, Thomas A1 - Matricardi, Paolo M. A1 - Torén, Kjell A1 - van Zele, Thibaut A1 - Bachert, Claus A1 - Rymarczyk, Barbara A1 - Janson, Christer A1 - Forsberg, Bertil A1 - Niżankowska-Mogilnicka, Ewa A1 - Burney, Peter G. J. T1 - Is fruit and vegetable intake associated with asthma or chronic rhino-sinusitis in European adults? Results from the Global Allergy and Asthma Network of Excellence (GA\(^2\)LEN) Survey JF - Clinical and Translational Allergy N2 - Background: Fruits and vegetables are rich in compounds with proposed antioxidant, anti-allergic and anti-inflammatory properties, which could contribute to reduce the prevalence of asthma and allergic diseases. Objective: We investigated the association between asthma, and chronic rhino-sinusitis (CRS) with intake of fruits and vegetables in European adults. Methods: A stratified random sample was drawn from the Global Allergy and Asthma Network of Excellence (GA\(^2\)LEN) screening survey, in which 55,000 adults aged 15–75 answered a questionnaire on respiratory symptoms. Asthma score (derived from self-reported asthma symptoms) and CRS were the outcomes of interest. Dietary intake of 22 subgroups of fruits and vegetables was ascertained using the internationally validated GA\(^2\)LEN Food Frequency Questionnaire. Adjusted associations were examined with negative binomial and multiple regressions. Simes procedure was used to control for multiple testing. Results: A total of 3206 individuals had valid data on asthma and dietary exposures of interest. 22.8% reported having at least 1 asthma symptom (asthma score ≥1), whilst 19.5% had CRS. After adjustment for potential confounders, asthma score was negatively associated with intake of dried fruits (β-coefficient −2.34; 95% confidence interval [CI] −4.09, −0.59), whilst CRS was statistically negatively associated with total intake of fruits (OR 0.73; 95% CI 0.55, 0.97). Conversely, a positive association was observed between asthma score and alliums vegetables (adjusted β-coefficient 0.23; 95% CI 0.06, 0.40). None of these associations remained statistically significant after controlling for multiple testing. Conclusion and clinical relevance: There was no consistent evidence for an association of asthma or CRS with fruit and vegetable intake in this representative sample of European adults. KW - Fruits KW - Vegetables KW - Asthma KW - Chronic rhino‑sinusitis KW - Adults KW - Europe KW - Meta‑analysis KW - GA\(^2\)LEN Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-180887 VL - 7 ER - TY - JOUR A1 - Hegerl, Ulrich A1 - Wittenburg, Lisa A1 - Arensman, Ella A1 - Van Audenhove, Chantal A1 - Coyne, James C. A1 - McDaid, David A1 - van der Feltz-Cornelis, Christina M. A1 - Gusmão, Ricardo A1 - Kopp, Mária A1 - Maxwell, Margaret A1 - Meise, Ullrich A1 - Roskar, Saska A1 - Sarchiapone, Marco A1 - Schmidtke, Armin A1 - Värnik, Airi A1 - Bramesfeld, Anke T1 - Optimizing Suicide Prevention Programs and Their Implementation in Europe (OSPI Europe): an evidence-based multi-level approach JF - BMC Public Health N2 - Background Suicide and non-fatal suicidal behaviour are significant public health issues in Europe requiring effective preventive interventions. However, the evidence for effective preventive strategies is scarce. The protocol of a European research project to develop an optimized evidence based program for suicide prevention is presented. Method The groundwork for this research has been established by a regional community based intervention for suicide prevention that focuses on improving awareness and care for depression performed within the European Alliance Against Depression (EAAD). The EAAD intervention consists of (1) training sessions and practice support for primary care physicians,(2) public relations activities and mass media campaigns, (3) training sessions for community facilitators who serve as gatekeepers for depressed and suicidal persons in the community and treatment and (4) outreach and support for high risk and self-help groups (e.g. helplines). The intervention has been shown to be effective in reducing suicidal behaviour in an earlier study, the Nuremberg Alliance Against Depression. In the context of the current research project described in this paper (OSPI-Europe) the EAAD model is enhanced by other evidence based interventions and implemented simultaneously and in standardised way in four regions in Ireland, Portugal, Hungary and Germany. The enhanced intervention will be evaluated using a prospective controlled design with the primary outcomes being composite suicidal acts (fatal and non-fatal), and with intermediate outcomes being the effect of training programs, changes in public attitudes, guideline-consistent media reporting. In addition an analysis of the economic costs and consequences will be undertaken, while a process evaluation will monitor implementation of the interventions within the different regions with varying organisational and healthcare contexts. Discussion This multi-centre research seeks to overcome major challenges of field research in suicide prevention. It pools data from four European regions, considerably increasing the study sample, which will be close to one million. In addition, the study will gather important information concerning the potential to transfer this multilevel program to other health care systems. The results of this research will provide a basis for developing an evidence-based, efficient concept for suicide prevention for EU-member states. KW - suicide prevention KW - preventive strategies KW - Europe Y1 - 2009 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-154695 VL - 9 IS - 428 ER - TY - JOUR A1 - Wallmann-Sperlich, Birgit A1 - Froboese, Ingo A1 - Schantz, Peter T1 - Physical Activity and the Perceived Neighbourhood Environment - Looking at the Association the Other Way Around JF - International Journal of Environmental Research and Public Health N2 - The association between physical activity (PA) and variables of the perceived environment mainly originate from cross-sectional studies that introduced the idea that the environment influences the PA level of residents. However, the direction of cause and effect has not been solved with finality. The aim of this study was to investigate whether residents’ perception of their proximate environment differs depending on their level of PA in transport and recreation. We conducted a cross-sectional survey with residents of six different parts of the city of Cologne, Germany. The sample of 470 adults (52.8% females; mean age = 35.5 ± 13.8 years) filled in the Global Physical Activity Questionnaire (GPAQ), as well as the European Environmental Questionnaire ALPHA. To distinguish between residents with “low” and “high” PA, we split the samples into two on the basis of the specific median in transport- and recreation-related PA. In the “high” vs. “low” PA group of the overall sample, we noted 4%–16% more “PA favourable” environmental perceptions in seven of the 15 environmental variables. Multiple linear regression analyses were performed to investigate associations of socio-demographic correlates and transport- and recreation-related PA on the dependent variables of the environmental perception. In this case, levels of PA were significant predictors for eight of the 15 items concerning environmental perceptions. Thus, the present study introduces the idea that residents with higher levels of transport and recreational PA may perceive their environment in a more “PA-favourable” way than residents with lower levels. KW - correlates KW - Europe KW - Germany KW - transport-related physical activity KW - recreation-related physical activity KW - socio-demographic KW - association KW - sex KW - perceived physical environment KW - physical activity Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-119441 SN - 1660-4601 VL - 11 IS - 8 ER - TY - JOUR A1 - Dech, Stefan A1 - Holzwarth, Stefanie A1 - Asam, Sarah A1 - Andresen, Thorsten A1 - Bachmann, Martin A1 - Boettcher, Martin A1 - Dietz, Andreas A1 - Eisfelder, Christina A1 - Frey, Corinne A1 - Gesell, Gerhard A1 - Gessner, Ursula A1 - Hirner, Andreas A1 - Hofmann, Matthias A1 - Kirches, Grit A1 - Klein, Doris A1 - Klein, Igor A1 - Kraus, Tanja A1 - Krause, Detmar A1 - Plank, Simon A1 - Popp, Thomas A1 - Reinermann, Sophie A1 - Reiners, Philipp A1 - Roessler, Sebastian A1 - Ruppert, Thomas A1 - Scherbachenko, Alexander A1 - Vignesh, Ranjitha A1 - Wolfmueller, Meinhard A1 - Zwenzner, Hendrik A1 - Kuenzer, Claudia T1 - Potential and challenges of harmonizing 40 years of AVHRR data: the TIMELINE experience JF - Remote Sensing N2 - Earth Observation satellite data allows for the monitoring of the surface of our planet at predefined intervals covering large areas. However, there is only one medium resolution sensor family in orbit that enables an observation time span of 40 and more years at a daily repeat interval. This is the AVHRR sensor family. If we want to investigate the long-term impacts of climate change on our environment, we can only do so based on data that remains available for several decades. If we then want to investigate processes with respect to climate change, we need very high temporal resolution enabling the generation of long-term time series and the derivation of related statistical parameters such as mean, variability, anomalies, and trends. The challenges to generating a well calibrated and harmonized 40-year-long time series based on AVHRR sensor data flown on 14 different platforms are enormous. However, only extremely thorough pre-processing and harmonization ensures that trends found in the data are real trends and not sensor-related (or other) artefacts. The generation of European-wide time series as a basis for the derivation of a multitude of parameters is therefore an extremely challenging task, the details of which are presented in this paper. KW - AVHRR KW - Earth Observation KW - harmonization KW - time series analysis KW - climate related trends KW - automatic processing KW - Europe KW - TIMELINE Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-246134 SN - 2072-4292 VL - 13 IS - 18 ER - TY - JOUR A1 - Reiners, Philipp A1 - Asam, Sarah A1 - Frey, Corinne A1 - Holzwarth, Stefanie A1 - Bachmann, Martin A1 - Sobrino, Jose A1 - Göttsche, Frank-M. A1 - Bendix, Jörg A1 - Kuenzer, Claudia T1 - Validation of AVHRR Land Surface Temperature with MODIS and in situ LST — a TIMELINE thematic processor JF - Remote Sensing N2 - Land Surface Temperature (LST) is an important parameter for tracing the impact of changing climatic conditions on our environment. Describing the interface between long- and shortwave radiation fluxes, as well as between turbulent heat fluxes and the ground heat flux, LST plays a crucial role in the global heat balance. Satellite-derived LST is an indispensable tool for monitoring these changes consistently over large areas and for long time periods. Data from the AVHRR (Advanced Very High-Resolution Radiometer) sensors have been available since the early 1980s. In the TIMELINE project, LST is derived for the entire operating period of AVHRR sensors over Europe at a 1 km spatial resolution. In this study, we present the validation results for the TIMELINE AVHRR daytime LST. The validation approach consists of an assessment of the temporal consistency of the AVHRR LST time series, an inter-comparison between AVHRR LST and in situ LST, and a comparison of the AVHRR LST product with concurrent MODIS (Moderate Resolution Imaging Spectroradiometer) LST. The results indicate the successful derivation of stable LST time series from multi-decadal AVHRR data. The validation results were investigated regarding different LST, TCWV and VA, as well as land cover classes. The comparisons between the TIMELINE LST product and the reference datasets show seasonal and land cover-related patterns. The LST level was found to be the most determinative factor of the error. On average, an absolute deviation of the AVHRR LST by 1.83 K from in situ LST, as well as a difference of 2.34 K from the MODIS product, was observed. KW - Land Surface Temperature KW - AVHRR KW - MODIS KW - time series KW - Europe KW - validation KW - TIMELINE Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-246051 SN - 2072-4292 VL - 13 IS - 17 ER -