@inproceedings{ChizhovaBrunn, author = {Chizhova, Maria and Brunn, Ansgar}, title = {Aufbau wissenschaftlicher Partnerschaften nach Osteuropa - ein aktueller Erfahrungsbericht}, series = {DGPF-Tagung, K{\"o}ln, 2015}, booktitle = {DGPF-Tagung, K{\"o}ln, 2015}, abstract = {Der Aufbau internationaler Partnerschaften nach Osteuropa ist aktuell ein Thema f{\"u}r viele Hochschulen im deutschsprachigen Raum. Gerade die Studieng{\"a}nge der Vermessung und Geoinformatik haben oftmals Schwierigkeiten Partner im Ausland zu finden, da das Fach in vielen L{\"a}ndern nicht in der gleichen Form gelehrt wird. Dieser Beitrag zeigt aktuelle M{\"o}glichkeiten des Aufbaus von Partnerschaften nach Russland anhand der Erfahrungen der Hochschule f{\"u}r angewandte Wissenschaften W{\"u}rzburg-Schweinfurt auf. Dazu werden die aktuelle fachspezifische Situation in der Hochschulausbildung wie auch die Struktur der Ausbildung in Russland vorgestellt, kurz mit der Situation an der Hochschule f{\"u}r angewandte Wissenschaften W{\"u}rzburg-Schweinfurt verglichen sowie die M{\"o}glichkeiten der Zusammenarbeit aufgezeigt.}, language = {de} } @article{ChizhovaBrunn, author = {Chizhova, Maria and Brunn, Ansgar}, title = {ОТ ФОТОСНИМКА К ОБЛАКУ ТОЧЕК: СОЗДАНИЕ 3D-МОДЕЛЕЙ НА ОСНОВЕ ОБЛАКА ТОЧЕК, ПОЛУЧЕННЫХ ФОТОГРАММЕТРИЧЕСКИМ СПОСОБОМ}, series = {Sammelband der Akademie Iwanowo 2015}, journal = {Sammelband der Akademie Iwanowo 2015}, language = {ru} } @inproceedings{LangnerBrunnVoellner, author = {Langner, Normen and Brunn, Ansgar and Voellner, David}, title = {Drone-based Optimization And Validation Of Numerical Simulations Of Urban Heat Islands}, series = {SimBuild 2024 - Eleventh National Conference of IBPSA-USA, Denver, 2024}, booktitle = {SimBuild 2024 - Eleventh National Conference of IBPSA-USA, Denver, 2024}, abstract = {In this ongoing research project, advanced drone technology is employed in conjunction with simula-tion models to assess the impacts of urban climate, with a specific focus on Urban Heat Islands (UHI). The novel methodology was tested in the historical downtown areas of two German cities. Through the creation of high-resolution 3D-models of urban structures and the analysis of material properties, the research project aims to accurately predict the cli-mate impacts of urban planning decisions.The results of the project provide planners with pre-cise insights for evaluating adaptation measures and mitigating the adverse effects of climate change in cities, ultimately improving living conditions there-in. The research undertaking also pioneers the use of high-temporal-resolution drone data for analyzing temperature patterns and considers various contribu-tions to the heat island effect for comprehensive climate-adaptive urban planning.}, language = {en} } @article{MelnykBrunn, author = {Melnyk, Oleksander and Brunn, Ansgar}, title = {Analysis of Spectral Index Interrelationships for Vegetation Condition Assessment on the Example of Wetlands in Volyn Polissya, Ukraine}, series = {earth}, volume = {6}, journal = {earth}, number = {2}, doi = {10.3390/earth6020028}, pages = {21}, abstract = {The Cheremskyi Nature Reserve, situated in the Volyn region of Ukraine, constitutes a pivotal element of the European ecological network, distinguished by its distinctive mosaic of peatlands, bogs, and floodplain forests. This study utilizes Sentinel-2 satellite imagery and the Google Earth Engine (GEE) to assess the spatiotemporal patterns of various vegetation indices (NDVI, EVI, SAVI, MSAVI, GNDVI, NDRE, NDWI) from 2017 to 2024. The study aims to select the most suitable combination of vegetation spectral indices for future research. The analysis reveals significant negative trends in NDVI, SAVI, MSAVI, GNDVI, and NDRE, indicating a decline in vegetation health, while NDWI shows a positive trend, suggesting an increased vegetation water content. Correlation analysis underscores robust interrelationships among the indices, with NDVI and SAVI identified as the most significant through random forest feature importance analysis. Principal component analysis (PCA) further elucidates the primary axes of variability, emphasizing the complex interplay between vegetation greenness and moisture content. The findings underscore the utility of multi-index analyses in enhancing predictive capabilities for ecosystem monitoring and support targeted conservation strategies for the sustainable management of the Cheremskyi Nature Reserve.}, language = {en} } @inproceedings{MelnykBrunn, author = {Melnyk, Oleksandr and Brunn, Ansgar}, title = {Seasonal and Long-Term Water Regime Trends of Cheremsky Wetland: Analysis Based on Sentinel-2 Spectral Indices and Composite Indicator Development}, series = {Remote Sensing 2025}, volume = {17}, booktitle = {Remote Sensing 2025}, number = {14}, doi = {10.3390/rs17142363}, abstract = {Wetlands are critically important ecosystems, but their dynamics, especially in complex regions such as the Ukrainian Polissya, remain poorly understood. This study focuses on the Cheremsky Nature Reserve, an internationally important wetland, to assess long-term (2017-2024) seasonal (spring-summer) trends in water surface conditions. Using Sentinel-2 data and the Google Earth Engine platform, 14 spectral water indices were calculated. Their temporal trends were analyzed using Sen's method, mutual correlations, and principal component analysis (PCA) to identify the main patterns of variability. Based on the normalized trends and weights obtained from the first two principal components, an integral composite index (CI) for spring and summer seasons was developed. The results revealed seasonal differences in the behavior of the indices and their contribution to the principal components, as well as spatial differentiation of water regime trends within the reserve. The proposed CI allows for an integrated assessment of the long-term dynamics of the wetlands, which is important for the development of conservation and management strategies.}, language = {en} } @article{Brunn, author = {Brunn, Ansgar}, title = {Zwangsfreie Richtungsmessungen}, series = {zfv - Zeitschrift f{\"u}r Geod{\"a}sie, Geoinformation und Landmanagement}, volume = {149}, journal = {zfv - Zeitschrift f{\"u}r Geod{\"a}sie, Geoinformation und Landmanagement}, number = {1}, publisher = {Wißner-Verlag}, doi = {10.12902/zfv-0455-2023}, pages = {45 -- 51}, abstract = {Moderne, digitale, automatisierte Tachymeter bieten einen flexiblen Einsatz und erfordern gleichzeitig flexible Rechenverfahren. Einschr{\"a}nkungen der tradierten Auswerteverfahren in Bezug auf die Richtungsmessungen in den Zenit und in Richtung der Nullrichtung (Nullpunkt des Teilkreises) sind dabei nicht akzeptabel. Daher wird in diesem Beitrag ein neuer, auf Richtungsvektoren basierender Umgang mit Richtungsmessungen vorgeschlagen. Der direkte Vergleich des tradierten Verfahrens mit dem neuen Ansatz zeigt das neu gewonnene Potential, letztlich aber auch die Notwendigkeit, das Geod{\"a}tische Rechnen neu zu erfinden.}, language = {de} } @incollection{RuppertWoerlerBrunn, author = {Ruppert, Markus and W{\"o}rler, Jan and Brunn, Ansgar}, title = {SketchUp: Modellieren im virtuellen Raum}, series = {Technologien im Mathematikunterricht - Eine Sammlung von Trends und Ideen}, booktitle = {Technologien im Mathematikunterricht - Eine Sammlung von Trends und Ideen}, editor = {Ruppert, Markus and W{\"o}rler, Jan}, publisher = {Springer Spektrum}, address = {Wiesbaden}, isbn = {978-3-658-03007-0}, doi = {10.1007/978-3-658-03008-7_5}, pages = {135 -- 156}, abstract = {Das gesellschaftliche Interesse an virtuellen 3D-Darstellungen ist in den letzten Jahren stark gestiegen und reicht l{\"a}ngst weit {\"u}ber den Unterhaltungssektor hinaus. Damit einher schreiten auch die technischen Entwicklungen von dreidimensionalen Ein- und Ausgabem{\"o}glichkeiten unaufhaltsam fort und die Verf{\"u}gbarkeit von Laien bedienbarer digitaler Werkzeuge zur virtuellen 3D-Modellierung hat mittlerweile den Freeware-Bereich erreicht. So bietet etwa die Firma Trimble die Software „SketchUp" zum kostenlosen Download an, mit der u. a. dreidimensionale Modelle realer Geb{\"a}ude am Rechner umgesetzt und in Google Earth eingebettet werden k{\"o}nnen. Mit dem Blick auf die Einsatzm{\"o}glichkeiten der Softwareprodukte geben die Beitr{\"a}ge geben eine grundlegende Einf{\"u}hrung in ihre Bedienung und zeigen auf, wie Geb{\"a}udemodelle f{\"u}r die Verwendung mit Google Earth erstellt werden k{\"o}nnen.}, language = {de} } @article{BrunnUhlMelnyketal., author = {Brunn, Ansgar and Uhl, Anna and Melnyk, Oleksandr and Melnyk, Yuliia and Manko, Pavlo and Fesyuk, Vasyl}, title = {Remote sensing monitoring of changes in forest cover in the Volyn region}, series = {Visnyk of V. N. Karazin Kharkiv National University, series "Geology. Geography. Ecology}, journal = {Visnyk of V. N. Karazin Kharkiv National University, series "Geology. Geography. Ecology}, number = {60}, publisher = {V. N. Karazin Kharkiv National University}, doi = {10.26565/2410-7360-2024-60-19}, pages = {272 -- 283}, abstract = {This article highlights the significance of forest cover as an important indicator of the state of the environment. It discusses the findings of the Food and Agriculture Organization of the United Nations (FAO) Forest Resources Assessment (FRA) 2020 report, which states that the world's forest area has decreased by 178 million hectares since 1990. The case study of Volyn region shows how cloud processing and vegetation classification can help quantify forest dynamics from 2000 to 2020, allowing local authorities and decision makers to monitor and analyze trends in near real time. Overall, this work provides insights into the importance of monitoring forest dynamics and the potential for remote sensing technology to facilitate this process}, language = {en} } @unpublished{OkyereLuBrunn, author = {Okyere, Franz and Lu, Meng and Brunn, Ansgar}, title = {Evaluating the Quality of Open Building Datasets for Mapping Urban Inequality: A Comparative Analysis Across 5 Cities}, doi = {10.48550/arXiv.2508.12872}, language = {en} } @book{WenzelBrunn, author = {Wenzel, Daniela and Brunn, Ansgar}, title = {ЗЕМЛЕУСТРОЙСТВО В РАМКАХ ФАКУЛЬТЕТА «МЕЖЕВАНИЕ И ГЕОИНФОРМАТИКА» ИНСТИТУТА ПРИКЛАДНЫХ НАУК ВЮРЦБУРГ-ШВАЙНФУРТ (ГЕРМАНИЯ)}, series = {Sammelband der Akademie Iwanowo}, journal = {Sammelband der Akademie Iwanowo}, number = {4}, language = {ru} } @article{ChizhovaBrunnStilla, author = {Chizhova, Maria and Brunn, Ansgar and Stilla, Uwe}, title = {Probabilistic feasibility of the HE reconstruction process of russian-orthodox churches}, series = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {XLI-B5}, journal = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, doi = {https://doi.org/10.5194/isprs-archives-XLI-B5-221-2016}, pages = {221 -- 227}, abstract = {The cultural human heritage is important for the identity of following generations and has to be preserved in a suitable manner. In the course of time a lot of information about former cultural constructions has been lost because some objects were strongly damaged by natural erosion or on account of human work or were even destroyed. It is important to capture still available building parts of former buildings, mostly ruins. This data could be the basis for a virtual reconstruction. Laserscanning offers in principle the possibility to take up extensively surfaces of buildings in its actual status. In this paper we assume a priori given 3d-laserscanner data, 3d point cloud for the partly destroyed church. There are many well known algorithms, that describe different methods of extraction and detection of geometric primitives, which are recognized separately in 3d points clouds. In our work we put them in a common probabilistic framework, which guides the complete reconstruction process of complex buildings, in our case russian-orthodox churches. Churches are modeled with their functional volumetric components, enriched with a priori known probabilities, which are deduced from a database of russian-orthodox churches. Each set of components represents a complete church. The power of the new method is shown for a simulated dataset of 100 russian-orthodox churches.}, language = {en} } @article{DavidovicKuzmicVasicetal., author = {Davidovic, Marina and Kuzmic, Tatjana and Vasic, Dejan and Wich, Valentin and Brunn, Ansgar and Bulatovic, Vladimir}, title = {Methodology for Road Defect Detection and Administration based on Mobile Mapping Data}, series = {Computer Modeling in Engineering \& Sciences}, volume = {129}, journal = {Computer Modeling in Engineering \& Sciences}, number = {1}, doi = {https://doi.org/10.32604/cmes.2021.016071}, pages = {207 -- 226}, abstract = {A detailed inspection of roads requires highly detailed spatial data with sufficient precision to deliver an accurate geometry and to describe road defects visually. This paper presents a novel method for the detection of road defects. The input data for road defect detection included point clouds and orthomosaics gathered by mobile mapping technology. The defects were categorized in three major groups with the following geometric primitives: points, lines and polygons. The method suggests the detection of point objects from matched point clouds, panoramic images and ortho photos. Defects were mapped as point, line or polygon geometries, directly derived from orthomosaics and panoramic images. Besides the geometric position of road defects, all objects were assigned to a variety of attributes: defect type, surface material, center-of-gravity, area, length, corresponding image of the defect and degree of damage. A spatial dataset comprising defect values with a matching data type was created to perform the attribute analysis quickly and correctly. The final product is a spatial vector data set, consisting of points, lines and polygons, which contains attributes with further information and geometry. This paper demonstrates that mobile mapping suits a large-scale feature extraction of road infrastructure defects. By its simplicity and flexibility, the presented methodology allows it to be easily adapted to extract further feature types with their attributes. This makes the proposed approach a vital tool for data extraction settings with multiple mobile mapping data analysts, e.g., offline crowdsourcing.}, language = {en} }