IMPROVING DATA QUALITY AND MANAGEMENT FOR REMOTE SENSING ANALYSIS: USE-CASES AND EMERGING RESEARCH QUESTIONS

During the last decades satellite remote sensing has become an emerging technology producing big data for various application fields every day. However, data quality checking as well as the long-time management of data and models are still issues to be improved. They are indispensable to guarantee smooth data integration and the reproducibility of data analysis such as carried out by machine learning models. In this paper we clarify the emerging need of improving data quality and the management of data and models in a geospatial database management system before and during data analysis. In different use cases various processes of data preparation and quality checking, integration of data across different scales and references systems, efficient data and model management, and advanced data analysis are presented in detail. Motivated by these use cases we then discuss emerging research questions concerning data preparation and data quality checking, data management, model management and data integration. Finally conclusions drawn from the paper are presented and an outlook on future research work is given

Low-level exposure of MRSA to octenidine dihydrochloride does not select for resistance

No abstract available

Spread of a single multiresistant methicillin-resistant Staphylococcus aureus clone carrying a variant of staphylococcal cassette chromosome mec type III isolated in a university hospital

The purpose of the study was the molecular characterization of methicillin-resistant Staphylococcus aureus (MRSA) isolates cultured from patients treated in seven wards of a university hospital in Lublin, Poland, over a 14-month period. Eleven nosocomial MRSA isolates were analyzed. Phenotypic identification of the isolates as MRSA was confirmed by the detection of the nuc and mecA genes using a multiplex PCR assay. The MRSA isolates were further characterized by pulsed-field gel electrophoresis, 16S-23S rRNA spacer length polymorphism analysis, and the simplex and multiplex SCCmec PCR assays. The MRSA isolates were found to be multiresistant: in addition to resistance to ?-lactam agents, they demonstrated resistance to ciprofloxacin, tetracycline, erythromycin, and gentamicin. The MRSA isolates were genetically identical and shared common pulsed-field gel electrophoresis profiles and 16S-23S rRNA spacer length polymorphism profiles. The PCR-based method revealed that the profile of the Lublin clone was identical to that of the Brazilian pandemic MRSA isolates. By SCCmec typing, all MRSA isolates harbored the C variant of the SCCmec type III that differed from the typical SCCmec type III pattern by the lack of locus F (414 bp). The results of this study indicate the spread of a single, multiresistant, MRSA clone in various wards of a university hospital over a 14-month period. The SCCmec structure harbored by the Lublin clone has previously been identified among Polish MRSA isolates representing the HoMRSA-Pol1 clone. The data from this study indicate that the Lublin MRSA clone is most probably genetically related to the HoMRSA-Pol1 clone. Moreover, this latter clone belongs to ST239, the same sequence type as the Hungarian and Brazilian pandemic MRSA isolates

Usefulness of mec-associated direct repeat unit (dru) typing in the epidemiological analysis of highly clonal methicillin-resistant Staphylococcus aureus in Scotland

The incidence of the epidemic methicillin-resistant Staphylococcus aureus (EMRSA) strains EMRSA-15 and EMRSA-16 in Scotland has increased dramatically, now accounting for c. 70% and c. 20% of isolates, respectively. Epidemiological tracking of these EMRSA strains is difficult, as c. 50% of EMRSA-15 and c. 35% of EMRSA-16 isolates are indistinguishable using pulsed-field gel electrophoresis (PFGE) and other typing methods. The usefulness of mec-associated direct repeat unit (dru) sequence analysis as a more sensitive approach to tracking the persistence and spread of these ‘clonal’ EMRSA strains in Scotland was evaluated. Analysis of 47 EMRSA-15 and 57 EMRSA-16 isolates (including two separately cultured isolates of the Harmony collection type strain) obtained from 22 hospital laboratories over an 8-year period (1997–2005) revealed 13 and 12 different dru types, respectively. Whereas some types appeared to be endemic in multiple hospitals, subtypes that may represent specific strain movement among hospitals in a given geographical region were identified in other instances. These results suggest that mec-associated dru typing may have potential for identifying and tracking specific subtypes of otherwise indistinguishable epidemic MRSA isolates such as those in Scotland

Towards integration of LADM and CityGML for the cadastral system of Turkey

With the rapid urbanization and the dynamics in land transactions, Turkish cadastre, as in many other countries, is facing challenges in the daily recording of sales, donations, taxations, and mortgages on land. Especially with the modern constructions and complex interrelationships of rights, restrictions, and responsibilities (RRR), the third dimension should not be forgotten. In this context, the design of a new cadastre data model for Turkey is essential. Inspired by this need, with this study, we aim in proposing a new cadastre model based on international standards such as Land Administration Data Model (LADM) and CityGML. LADM represents the legal and administrative aspects of the cadastral objects but does not show the semantic and 3D geometrical representation of physical cadastral objects which are required for the process of 3D cadastre. Therefore, in the paper, we propose an Application Domain Extension (ADE) for the cadastral objects that expands the integration of LADM and CityGML data model with the legal and administrative concepts defined in the Turkish Law. The study presents a detailed overview of the Turkish legal cadastre system and a proposal for its physical realization based on international standards. In addition, the developed ADE is also valuable for cadastral services undertaken by the General Directorate of Land Registry and Cadastre (GDLRC). It could also be used as a basis of a 3D national data standard for cadastral information systems