Charakterisierung der Zusammenset-zung organischer Bodensubstanz an Oberflächen von präferentiellen Fließ-wegen mit DRIFT Spektroskopie

Organische Bodensubstanz (OBS) auf Oberflächen präferentieller Fließwege be-einflusst maßgeblich deren Benetzungs-, Sorptions- und Transporteigenschaften. Die räumliche Verteilung der OBS-Eigenschaften auf intakten Oberflächen von Gefügeelementen wie organo-mineralischen Überzügen, Regenwurm-gängen und Wurzelbahnen ist weitgehend unbekannt. Mittels DRIFT-mapping wird die OBS auf Fließwegen kleinräumig er-fasst. Zur Charakterisierung dient das Ver-hältnis hydrophober zu hydrophiler Grup-pen, das die Hydrophobizität der OSB und damit die potentielle Benetzbarkeit der Oberflächen mit Wasser widerspiegelt, die mit Kontaktwinkelmessungen getestet wird. Die Ergebnisse zeigen räumliche Unter-schiede hinsichtlich Zusammensetzung, Verteilung und Benetzbarkeit der OBS auf Überzüge präferentieller Fließwegoberflä-chen. Dies kann sich auf den präferentiel-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 física 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 são discutidas para orientar a pesquisa em ciência do solo,com ênfase na física do solo, com o objetivo de melhorar a produtividade agrícola e a qualidade do ambiente