TY - CHAP A1 - Dizbadi, Mehran A1 - Taghipour, Majid A1 - Arastoo, Behrooz A1 - Brunn, Ansgar ED - Ksibi, Prof. Mohamed T1 - Land-use changes in coastal areas of Using Multi-Time satellite data T2 - Euro-Mediterranean Journal for Environmental Integration University of Sfax, Tunisia N2 - The use of coastal lands is constantly changing due to the regression and progress of water 10 areas. This coastal Land use changes the need for continuous monitoring at regular intervals to 11 efficiently manage coastal resources. In this study, the effect of Gorgan gulf ( is location in the 12 southeastern part of the Caspian Sea in Golestan province of IRAN country ) progress and re-13 gression on land-use change in the surrounding lands has been modeled and estimated using 14 remote sensing images. For this purpose, two satellite images of Landsat 5 and Sentinel 2 were 15 taken in 1992 and 2017, respectively, and after preparing and applying the necessary prepro-16 cessing, the most similar classification and land uses of the study area were extracted. Overall 17 accuracy values of 0.94 and kappa coefficient of 0.92 indicated the appropriate accuracy of land 18 use maps. The classified images and the topographic maps, and the network of passages of the 19 study area were designated as land modeling inputs to detect land-use changes over 25 years. The 20 study results showed that the water area of the Gorgan gulf had faced a water level decline of 21 150 square kilometers, which has led to an increase in the area of wastelands. Also, agriculture 22 and garden, and rangelands have been significantly reduced during the study period 23 Keywords: Change Detection, Landsat 5, Sentinel 2, Remote Sensing, Gorgan gulf Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:863-opus-44800 ER - TY - JOUR A1 - Brunn, Ansgar A1 - Degen, Isabella A1 - Weber, Linda A1 - Freibott, Maximilian T1 - 3D-Vermessung der Zoolithenhöhle in der Fränkischen Schweiz - Eine Tropfsteinhöhle virtuell in 3D JF - VDV Magazin - Zeitschrift für Geodäsie und Geoinformatik Y1 - 2014 IS - 1 PB - Chmielorz GmbH CY - Wiesbaden ER - TY - CHAP A1 - Chizhova, Maria A1 - Brunn, Ansgar T1 - Aufbau wissenschaftlicher Partnerschaften nach Osteuropa - ein aktueller Erfahrungsbericht T2 - DGPF-Tagung, Köln, 2015 N2 - Der Aufbau internationaler Partnerschaften nach Osteuropa ist aktuell ein Thema für viele Hochschulen im deutschsprachigen Raum. Gerade die Studiengänge der Vermessung und Geoinformatik haben oftmals Schwierigkeiten Partner im Ausland zu finden, da das Fach in vielen Ländern nicht in der gleichen Form gelehrt wird. Dieser Beitrag zeigt aktuelle Möglichkeiten des Aufbaus von Partnerschaften nach Russland anhand der Erfahrungen der Hochschule für angewandte Wissenschaften Würzburg-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 für angewandte Wissenschaften Würzburg-Schweinfurt verglichen sowie die Möglichkeiten der Zusammenarbeit aufgezeigt. Y1 - 2015 UR - http://bvg.fhws.de/fileadmin/FKV/v/studiengang/brunn/p03_DGPF2015_Chizhowa_Brunn.pdf ER - TY - JOUR A1 - Chizhova, Maria A1 - Brunn, Ansgar T1 - ОТ ФОТОСНИМКА К ОБЛАКУ ТОЧЕК: СОЗДАНИЕ 3D-МОДЕЛЕЙ НА ОСНОВЕ ОБЛАКА ТОЧЕК, ПОЛУЧЕННЫХ ФОТОГРАММЕТРИЧЕСКИМ СПОСОБОМ JF - Sammelband der Akademie Iwanowo 2015 T2 - Vom Foto zur Punktwolke: Erstellung von 3D-Modellen auf der Grundlage photogrammetrischer Punktwolken Y1 - 2015 ER - TY - CHAP A1 - Langner, Normen A1 - Brunn, Ansgar A1 - Voellner, David T1 - Drone-based Optimization And Validation Of Numerical Simulations Of Urban Heat Islands T2 - SimBuild 2024 - Eleventh National Conference of IBPSA-USA, Denver, 2024 N2 - 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. Y1 - 2024 UR - https://publications.ibpsa.org/conference/paper/?id=simbuild2024_2132 ER - TY - JOUR A1 - Melnyk, Oleksander A1 - Brunn, Ansgar T1 - Analysis of Spectral Index Interrelationships for Vegetation Condition Assessment on the Example of Wetlands in Volyn Polissya, Ukraine JF - earth N2 - 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. KW - remote sensing KW - sentinel-2 KW - vegetation indices KW - wetlands KW - peatlands KW - ecosystem monitoring Y1 - 2025 UR - https://www.mdpi.com/2673-4834/6/2/28 U6 - https://doi.org/10.3390/earth6020028 VL - 6 IS - 2 ER - TY - CHAP A1 - Melnyk, Oleksandr A1 - Brunn, Ansgar T1 - Seasonal and Long-Term Water Regime Trends of Cheremsky Wetland: Analysis Based on Sentinel-2 Spectral Indices and Composite Indicator Development T2 - Remote Sensing 2025 N2 - 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. KW - remote sensing KW - Sentinel-2 KW - spectral indices KW - composite index KW - Ukrainian Polissya KW - wetland monitoring KW - water surface conditions Y1 - 2025 U6 - https://doi.org/10.3390/rs17142363 VL - 17 IS - 14 ER - TY - JOUR A1 - Brunn, Ansgar T1 - Zwangsfreie Richtungsmessungen T1 - Force-free Angle Measurements JF - zfv – Zeitschrift für Geodäsie, Geoinformation und Landmanagement N2 - Moderne, digitale, automatisierte Tachymeter bieten einen flexiblen Einsatz und erfordern gleichzeitig flexible Rechenverfahren. Einschränkungen 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 Geodätische Rechnen neu zu erfinden. N2 - Modern, digital, automated total stations offer flexible use and at the same time require flexible calculation methods. Limitations of the traditional evaluation methods with regard to the angle measurements into the zenith and in the zero direction (zero point of the horizontal circle) are not acceptable. Therefore, a new handling of direction measurements based on direction vectors is proposed in this paper. The direct comparison of the traditional method with the new approach shows the newly gained potential, but ultimately also the necessity to reinvent geodetic computing. Y1 - 2024 U6 - https://doi.org/10.12902/zfv-0455-2023 VL - 149 IS - 1 SP - 45 EP - 51 PB - Wißner-Verlag ER - TY - CHAP A1 - Ruppert, Markus A1 - Wörler, Jan A1 - Brunn, Ansgar ED - Ruppert, Markus ED - Wörler, Jan T1 - SketchUp: Modellieren im virtuellen Raum T2 - Technologien im Mathematikunterricht - Eine Sammlung von Trends und Ideen N2 - Das gesellschaftliche Interesse an virtuellen 3D-Darstellungen ist in den letzten Jahren stark gestiegen und reicht längst weit über den Unterhaltungssektor hinaus. Damit einher schreiten auch die technischen Entwicklungen von dreidimensionalen Ein- und Ausgabemöglichkeiten unaufhaltsam fort und die Verfügbarkeit 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 Gebäude am Rechner umgesetzt und in Google Earth eingebettet werden können. Mit dem Blick auf die Einsatzmöglichkeiten der Softwareprodukte geben die Beiträge geben eine grundlegende Einführung in ihre Bedienung und zeigen auf, wie Gebäudemodelle für die Verwendung mit Google Earth erstellt werden können. Y1 - 2013 SN - 978-3-658-03007-0 SN - 978-3-658-03008-7 U6 - https://doi.org/10.1007/978-3-658-03008-7_5 SP - 135 EP - 156 PB - Springer Spektrum CY - Wiesbaden ER - TY - JOUR A1 - Brunn, Ansgar A1 - Uhl, Anna A1 - Melnyk, Oleksandr A1 - Melnyk, Yuliia A1 - Manko, Pavlo A1 - Fesyuk, Vasyl T1 - Remote sensing monitoring of changes in forest cover in the Volyn region BT - A cross section for the first two decades of the 21st century JF - Visnyk of V. N. Karazin Kharkiv National University, series "Geology. Geography. Ecology N2 - 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 Y1 - 2024 U6 - https://doi.org/10.26565/2410-7360-2024-60-19 IS - 60 SP - 272 EP - 283 PB - V. N. Karazin Kharkiv National University ER - TY - INPR A1 - Okyere, Franz A1 - Lu, Meng A1 - Brunn, Ansgar T1 - Evaluating the Quality of Open Building Datasets for Mapping Urban Inequality: A Comparative Analysis Across 5 Cities Y1 - 2025 U6 - https://doi.org/10.48550/arXiv.2508.12872 ER - TY - BOOK A1 - Wenzel, Daniela A1 - Brunn, Ansgar T1 - ЗЕМЛЕУСТРОЙСТВО В РАМКАХ ФАКУЛЬТЕТА «МЕЖЕВАНИЕ И ГЕОИНФОРМАТИКА» ИНСТИТУТА ПРИКЛАДНЫХ НАУК ВЮРЦБУРГ–ШВАЙНФУРТ (ГЕРМАНИЯ) T1 - Landmanagement im Studiengang Vermessung und Geoinformatik an der Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt (Deutschland) T3 - Sammelband der Akademie Iwanowo Y1 - 2013 IS - 4 ER - TY - JOUR A1 - Chizhova, Maria A1 - Brunn, Ansgar A1 - Stilla, Uwe T1 - Probabilistic feasibility of the HE reconstruction process of russian-orthodox churches JF - The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences N2 - 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. KW - Building reconstruction KW - laserscanning data KW - 3d-point cloud KW - russian-orthodox churches KW - probability Y1 - 2016 U6 - https://doi.org/https://doi.org/10.5194/isprs-archives-XLI-B5-221-2016 VL - XLI-B5 SP - 221 EP - 227 ER - TY - JOUR A1 - Davidovic, Marina A1 - Kuzmic, Tatjana A1 - Vasic, Dejan A1 - Wich, Valentin A1 - Brunn, Ansgar A1 - Bulatovic, Vladimir T1 - Methodology for Road Defect Detection and Administration based on Mobile Mapping Data JF - Computer Modeling in Engineering & Sciences N2 - 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. KW - Deformation detection KW - engineering KW - visual inspection KW - data analyses KW - mobile mapping KW - GIS Y1 - 2021 U6 - https://doi.org/https://doi.org/10.32604/cmes.2021.016071 VL - 129 IS - 1 SP - 207 EP - 226 ER - TY - JOUR A1 - Selenski, Jürgen A1 - Reuß, Oliver A1 - Roth, Jonas A1 - Händler, Verena A1 - Badecki, Tomasz A1 - Schirmer, Uwe A1 - Bogner, Markus A1 - Wagner, Andreas A1 - Brunn, Ansgar ED - Kersten, Thomas P. ED - Tilly, Nora T1 - Integration von 3D-Laserscanning in die Rohstoffgewinnung im Untertagebau JF - DGPF-Jahrestagung 2023 Y1 - 2023 UR - https://www.dgpf.de/src/tagung/jt2023/start.html SP - 251 EP - 262 CY - München ER - TY - CHAP A1 - Händler, Verena A1 - Reuß, Oliver A1 - Roth, Jonas A1 - Selenski, Jürgen A1 - Brunn, Ansgar T1 - Punktwolkenbasierte 3D-Vermessung für KMU in Handwerk und Bauwesen T2 - Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e.V. N2 - Hochschulen für angewandte Wissenschaften entwickeln beständig die Lehre nicht nur für die eigenen Studierenden, sondern auch die Methoden für den Wissenstransfer in die Unternehmen weiter. Neue didaktische Konzepte werden für anstehende Fachthemen ausprobiert. Im Rahmen des Projekts „Frühe Digitalisierung technischer Planungsprozesse im Bauwesen und Handwerk für kleine und mittlere Unternehmen“ (DiTeP4KMU) sollen daher aktuelle Methoden der Wissensvermittlung (Online Lehrangebote, Blended Learning sowie hybride Lehrveranstaltungsformen) in die berufsbegleitende Weiterbildung übertragen und realisiert werden. Das Projekt ist eine Fortsetzung und Erweiterung der bereits an der Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt umgesetzten Projekte „Digitale Photogrammetrie und Bildverarbeitung für kleine und mittlere Unternehmen (DiPhoBi4KMU)“ und „Mobile 3D Vermessung für kleine und mittlere Unternehmen“ (MV-3D4KMU). Ziel des aktuellen Projekts ist die Prozessoptimierung in KMU durch mobile 3D-Vermessung anhand hybrider Wissensvermittlung in Form von E-Learning Angeboten sowie Präsenzveranstaltungen in Form von Netzwerktreffen und Aktionen. Der fachliche Fokus liegt dabei auf der stärkeren Verbreitung der 3D-Daten für alltägliche Aufgaben - insbesondere der schnell zu generierenden 3D-Punktwolken durch moderne Messsysteme - in die Arbeitsprozesse im Bauwesen und Handwerk, in Zusammenarbeit mit den beteiligten Unternehmen. Die Erfahrungen in dem Projekt zeigen bereits nach ca. sechs Monaten ein großes Interesse und bestätigen die Konzeption des Projektentwurfs. Y1 - 2022 UR - https://www.dgpf.de/src/tagung/jt2022/proceedings/proceedings/paper/06_DLT2022_Haendler_et_al.pdf VL - 30 ER - TY - CHAP A1 - Meyer, Theresa A1 - Brunn, Ansgar T1 - 3D Point Clouds in PostgreSQL/PostGIS for Applications in GIS and Geodesy T2 - Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management N2 - Besides the common approach of an exclusively file based management of 3D point clouds, meanwhile it is possible to store and process this special type of massive geodata within spatial database systems. Users benefit from the general advantages of database solutions and especially from the potentials of a combined analysis of original 3D point clouds, 2D rasters, 3D voxel stacks and 2D and 3D vector data in order to gain valuable geo- information. This paper describes the integration of 3D point clouds into an open source PostgreSQL/PostGIS database using the Pointcloud extension and functions of the Point Data Abstraction Library (PDAL). The focus is on performing three-dimensional spatial queries and the evaluation of different tiling methods for the organization of 3D point clouds into table rows, regarding memory space, performance of spatial queries and effects on interactions between point clouds and other GIS features within the database. A new approach for an optimized point cloud tiling, considering the individual geometric characteristic of a 3D point cloud, is presented. The results show that an individually selected storage structure for a point cloud is crucial for low memory consumption and high-performance 3D queries in PostGIS applications, taking account of its three-dimensional spatial extent and point density. KW - 3D Point Clouds KW - Point Cloud Tiling KW - Geodatabase KW - GIS KW - 3D Applications Y1 - 2019 UR - https://pdfs.semanticscholar.org/7cb5/fe8840189bc7b04bbdf2d324cca64892559a.pdf SN - 978-989-758-371-1 U6 - https://doi.org/10.5220/0007840901540163 SP - 154 EP - 163 PB - SCITEPRESS – Science and Technology Publications ER - TY - JOUR A1 - Chizhova, Maria A1 - Gurianov, Andrey A1 - Hess, Mona A1 - Luhmann, Thomas A1 - Brunn, Ansgar A1 - Stilla, Uwe T1 - Semantic segmentation of building elements using point cloud hashing JF - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences N2 - For the interpretation of point clouds, the semantic definition of extracted segments from point clouds or images is a common problem. Usually, the semantic of geometrical pre-segmented point cloud elements are determined using probabilistic networks and scene databases. The proposed semantic segmentation method is based on the psychological human interpretation of geometric objects, especially on fundamental rules of primary comprehension. Starting from these rules the buildings could be quite well and simply classified by a human operator (e.g. architect) into different building types and structural elements (dome, nave, transept etc.), including particular building parts which are visually detected. The key part of the procedure is a novel method based on hashing where point cloud projections are transformed into binary pixel representations. A segmentation approach released on the example of classical Orthodox churches is suitable for other buildings and objects characterized through a particular typology in its construction (e.g. industrial objects in standardized enviroments with strict component design allowing clear semantic modelling). KW - semantic segmentation KW - hashing KW - Orthodox church KW - point clouds Y1 - 1018 U6 - https://doi.org/https://doi.org/10.5194/isprs-archives-XLII-2-241-2018 VL - VLII-2 SP - 241 EP - 250 ER - TY - JOUR A1 - Chizhova, Maria A1 - Korovin, Dmitriyi A1 - Gurianov, Andrey A1 - Brodovskii, Maxim A1 - Brunn, Ansgar A1 - Stilla, Uwe A1 - Luhmann, Thomas T1 - Probabilistic Reconstruction of orthodox Churches from precision Point Clouds using Bayesian Networks and Cellular Automata JF - The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences N2 - The point cloud interpretation and reconstruction of 3d-buildings from point clouds has already been treated for a few decades. There are many articles which consider the different methods and workows of the automatic detection and reconstruction of geometrical objects from point clouds. Each method is suitable for the special geometry type of object or sensor. General approaches are rare. In our work we present an algorithm which develops the optimal process sequence of the automatic search, detection and reconstruction of buildings and building components from a point cloud. It can be used for the detection of the set of geometric objects to be reconstructed, independent of its destruction. In a simulated example we reconstruct a complete Russian-orthodox church starting from the set of detected structural components and reconstruct missing components with high probability. KW - reconstruction from point cloud KW - cellular automaton KW - Bayesian network KW - orthodox churches Y1 - 2017 UR - https://www.pf.bgu.tum.de/pub/2017/chizhova_co_stilla_3dvrvca_pap.pdf U6 - https://doi.org/doi:10.5194/isprs-archives-XLII-2-W3-187-2017 VL - VLII-2/W3 SP - 187 EP - 194 ER - TY - JOUR A1 - Dizbadi, Mehran A1 - Safarzadeh, Daniyal A1 - Arastoo, Behrooz A1 - Brunn, Ansgar T1 - Predicting the Areal Development of the City of Mashhad with the Automaton Fuzzy Cell Method JF - World Academy of Science, Engineering and Technology, International Journal of Civil and Architectural Engineering N2 - Rapid and uncontrolled expansion of cities has led to unplanned aerial development. In this way, modeling and predicting the urban growth of a city helps decision-makers. In this study, the aspect of sustainable urban development has been studied for the city of Mashhad. In general, the prediction of urban aerial development is one of the most important topics of modern town management. In this research, using the Cellular Automaton (CA) model and perceptron neural network method with satellite data developed for geo data of Geographic Information Systems (GIS) and presenting a simple and powerful model, a simulation of complex urban processes has been done. In finally our accuracy has been better compared to other researches that have been done in this field and we have slightly improved and optimize the final results approximately %92.1. KW - Urban Modeling KW - sustainable development KW - Fuzzy Cellular Automaton KW - Geo-Information System KW - Perceptron neural network KW - Landsat Y1 - 2022 UR - https://www.researchgate.net/publication/363484716_Predicting_the_areal_development_of_the_city_of_Mashhad_with_the_automaton_fuzzy_cell_method/stats VL - 16 IS - 6 ER - TY - CHAP A1 - Meyer, Theresa A1 - Brunn, Ansgar A1 - Stilla, Uwe T1 - Genauigkeitsbetrachtung voxelbasierter Änderungsdetektion im Gebäudeinnenbereich zur automatisierten Baufortschrittsüberwachung T2 - Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e.V. N2 - Dieser Beitrag handelt von einer Methode zur Änderungsdetektion im Gebäudeinneren, die auf der Diskretisierung des Objektraums durch Voxel basiert. Die Belegung des Voxelraums wird anhand von Punktwolken aus terrestrischem Laserscanning zu verschiedenen Bauphasen ermittelt. Durch die Aufdeckung von Belegungskonflikten zwischen zwei Messepochen wird ermittelt, ob Änderungen an einer bestimmten Stelle aufgetreten sind. Es wird gezeigt, wie sich der Diskretisierungsfehler als Resultat der Voxelisierung auf die noch erreichbare räumliche Auflösung einer Änderungsaussage auswirkt. Am Beispiel von Abbrucharbeiten bei einem Innenumbauprojekt werden die wechselseitigen Auswirkungen von Aufnahmegeometrie, Scanauflösung und Voxelgröße diskutiert. Die Ergebnisse zeigen, dass die Auflösung von 3D-Punktwolken unter Beachtung einiger Anforderungen an die Aufnahmegeometrie bei Innenraum-Messungen ausreicht, um bei gängigen Genauigkeitsanforderungen auf Voxelebene automatisiert strukturelle Änderungen zu beschreiben. Y1 - 2022 UR - https://www.dgpf.de/src/tagung/jt2022/proceedings/proceedings/paper/16_DLT2022_Meyer_et_al.pdf U6 - https://doi.org/10.24407/KXP:1796028584 VL - 30 ER -