13 research outputs found
Charakterisierung der Zusammenset-zung organischer Bodensubstanz an OberflĂ€chen von prĂ€ferentiellen FlieĂ-wegen mit DRIFT Spektroskopie
Organische Bodensubstanz (OBS) auf OberflĂ€chen prĂ€ferentieller FlieĂwege be-einflusst maĂgeblich deren Benetzungs-, Sorptions- und Transporteigenschaften. Die rĂ€umliche Verteilung der OBS-Eigenschaften auf intakten OberflĂ€chen von GefĂŒgeelementen wie organo-mineralischen ĂberzĂŒgen, Regenwurm-gĂ€ngen und Wurzelbahnen ist weitgehend unbekannt. Mittels DRIFT-mapping wird die OBS auf FlieĂwegen kleinrĂ€umig er-fasst. Zur Charakterisierung dient das Ver-hĂ€ltnis hydrophober zu hydrophiler Grup-pen, das die HydrophobizitĂ€t der OSB und damit die potentielle Benetzbarkeit der OberflĂ€chen mit Wasser widerspiegelt, die mit Kontaktwinkelmessungen getestet wird.
Die Ergebnisse zeigen rĂ€umliche Unter-schiede hinsichtlich Zusammensetzung, Verteilung und Benetzbarkeit der OBS auf ĂberzĂŒge prĂ€ferentieller FlieĂwegoberflĂ€-chen. Dies kann sich auf den prĂ€ferentiel-len Wasserfluss und die Verlagerung reak-tiver Stoffe auswirken
Contour detection for UAV-based cadastral mapping
Unmanned aerial vehicles (UAVs) provide a flexible and low-cost solution for the acquisition of high-resolution data. The potential of high-resolution UAV imagery to create and update cadastral maps is being increasingly investigated. Existing procedures generally involve substantial fieldwork and many manual processes. Arguably, multiple parts of UAV-based cadastral mapping workflows could be automated. Specifically, as many cadastral boundaries coincide with visible boundaries, they could be extracted automatically using image analysis methods. This study investigates the transferability of gPb contour detection, a state-of-the-art computer vision method, to remotely sensed UAV images and UAV-based cadastral mapping. Results show that the approach is transferable to UAV data and automated cadastral mapping: object contours are comprehensively detected at completeness and correctness rates of up to 80%. The detection quality is optimal when the entire scene is covered with one orthoimage, due to the global optimization of gPb contour detection. However, a balance between high completeness and correctness is hard to achieve, so a combination with area-based segmentation and further object knowledge is proposed. The localization quality exhibits the usual dependency on ground resolution. The approach has the potential to accelerate the process of general boundary delineation during the creation and updating of cadastral maps
Using Metamodels and Ontologies for Enterprise Model Reconciliation
Part 8: Ontology-Based InteroperabilityInternational audienceModeling the enterprise from different views, at different levels of abstraction, and in different modeling languages yields a variety of models. Oftentimes the models referring to the same subject exist independently of each other and their semantic relations are hard to discover or to analyze. This fact hinders the effective exploitation of enterprise models for the purpose of integration and interoperability. The method proposed in this paper is based on semantic annotations and aims for the externalization and machine readability of the model contained information. This assures the accessibility for further automatic processing and facilitates the discovery and analysis of inter-model relations
Selected research opportunities in soil physics Oportunidades selecionadas de pesquisa em fĂsica do solo
Selected research opportunities are discussed in order to guide soil science research, with emphasis on soil physics, with the aim of improving agricultural productivity and environmental quality.<br>Oportunidades selecionadas de pesquisa sĂŁo discutidas para orientar a pesquisa em ciĂȘncia do solo,com ĂȘnfase na fĂsica do solo, com o objetivo de melhorar a produtividade agrĂcola e a qualidade do ambiente