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Book ; Online: 3D Research Challenges in Cultural Heritage III

Ioannides, Marinos / Patias, Petros

Complexity and Quality in Digitisation

(Lecture Notes in Computer Science ; 13125)

2023

Author's details	edited by Marinos Ioannides, Petros Patias
Series title	Lecture Notes in Computer Science ; 13125
Keywords	Information storage and retrieval systems ; Computer vision ; Application software
Language	English
Size	1 Online-Ressource (VIII, 157 p. 119 illus., 114 illus. in color)
Edition	1st ed. 2023
Publisher	Springer International Publishing ; Imprint: Springer
Publishing place	Cham
Document type	Book ; Online
HBZ-ID	HT030079384
ISBN	978-3-031-35593-6 ; 9783031355929 ; 9783031355943 ; 3-031-35593-8 ; 303135592X ; 3031355946
DOI	10.1007/978-3-031-35593-6
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Book ; Online: 3D Research Challenges in Cultural Heritage III

Ioannides, Marinos / Patias, Petros

Complexity and Quality in Digitisation

(Lecture Notes in Computer Science)

2023

Series title	Lecture Notes in Computer Science
Keywords	Information retrieval ; Image processing ; Information technology: general issues ; 3D Digitization ; Digital Cultural Heritage ; IIIF 3D ; Digital Documentation ; 3D Quality Model ; 2D/3D Interoperability ; Extended Reality ; Virtual Reality ; Photogrammetry ; Digital Twin ; 3D Data
Language	English
Size	1 electronic resource (157 pages)
Publisher	Springer Nature
Publishing place	Cham
Document type	Book ; Online
Note	English
HBZ-ID	HT030382577
ISBN	9783031355929 ; 303135592X
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article: A Cloud-Based Mapping Approach Using Deep Learning and Very-High Spatial Resolution Earth Observation Data to Facilitate the SDG 11.7.1 Indicator Computation

Verde, Natalia / Patias, Petros / Mallinis, Giorgos

Remote Sensing. 2022 Feb. 18, v. 14, no. 4

2022

Abstract: As urbanized areas continue to expand rapidly across all continents, the United Nations adopted in 2015 the Sustainable Development Goal (SDG) 11, aimed at shaping a sustainable future for city dwellers. Earth Observation (EO) satellite data can provide ... ...

Abstract	As urbanized areas continue to expand rapidly across all continents, the United Nations adopted in 2015 the Sustainable Development Goal (SDG) 11, aimed at shaping a sustainable future for city dwellers. Earth Observation (EO) satellite data can provide at a fine scale, essential urban land use information for computing SDG 11 indicators in order to complement or even replace inaccurate or invalid existing spatial datasets. This study proposes an EO-based approach for extracting large scale information regarding urban open spaces (UOS) and land allocated to streets (LAS) at the city level, for calculating SDG indicator 11.7.1. The research workflow was developed over the Athens metropolitan area in Greece using deep learning classification models for processing PlanetScope and Sentinel-1 imagery, employing freely-available cloud environments offered by Google. The LAS model exhibited satisfactory results while the best experiment performance for mapping UOS, considering both PlanetScope and Sentinel-1 data, yielded high commission errors, however, the cross-validation analysis with the UOS area of OpenStreetMap exhibited a total overlap of 67.38%, suggesting that our workflow is suitable for creating a “potential” UOS layer. The methodology developed herein can serve as a roadmap for the calculation of indicator 11.7.1 through national statistical offices when spatial data are absent or unreliable.
Keywords	land use ; metropolitan areas ; models ; remote sensing ; spatial data ; sustainable development ; urbanization ; Greece
Language	English
Dates of publication	2022-0218
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs14041011
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Multi-Sensor Image and Range-Based Techniques for the Geometric Documentation and the Photorealistic 3D Modeling of Complex Architectural Monuments.

Tsiachta, Alexandra / Argyrou, Panagiotis / Tsougas, Ioannis / Kladou, Maria / Ravanidis, Panagiotis / Kaimaris, Dimitris / Georgiadis, Charalampos / Georgoula, Olga / Patias, Petros

Sensors (Basel, Switzerland)

2024 Volume 24, Issue 9

Abstract: The selection of the optimal methodology for the 3D geometric documentation of cultural heritage is a subject of high concern in contemporary scientific research. As a matter of fact, it requires a multi-source data acquisition process and the fusion of ... ...

Abstract	The selection of the optimal methodology for the 3D geometric documentation of cultural heritage is a subject of high concern in contemporary scientific research. As a matter of fact, it requires a multi-source data acquisition process and the fusion of datasets from different sensors. This paper aims to demonstrate the workflow for the proper implementation and integration of geodetic, photogrammetric and laser scanning techniques so that high-quality photorealistic 3D models and other documentation products can be generated for a complicated, large-dimensional architectural monument and its surroundings. As a case study, we present the monitoring of the Mehmet Bey Mosque, which is a landmark in the city of Serres and a significant remaining sample of the Ottoman architecture in Greece. The surveying campaign was conducted in the context of the 2022-2023 annual workshop of the Interdepartmental Program of Postgraduate Studies "Protection Conservation and Restoration of Cultural Monuments" of the Aristotle University of Thessaloniki, and it served as a geometric background for interdisciplinary cooperation and decision-making on the monument restoration process. The results of our study encourage the fusion of terrestrial laser scanning and photogrammetric datasets for the 3D modeling of the mosque, as they supplement each other as regards geometry and texture.
Language	English
Publishing date	2024-04-23
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s24092671
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Evaluation of single-date and multi-seasonal spatial and spectral information of Sentinel-2 imagery to assess growing stock volume of a Mediterranean forest

Chrysafis, Irene / Mallinis, Giorgos / Patias, Petros / Tsakiri, Maria

ITC journal. 2019 May, v. 77

2019

Abstract: Accurate growing stock volume (GSV) estimation is essential for forest inventory updating, terrestrial carbon stocks reporting, and ecosystem services assessment. This study investigates the potential of spectral and spatial features derived from single- ... ...

Abstract	Accurate growing stock volume (GSV) estimation is essential for forest inventory updating, terrestrial carbon stocks reporting, and ecosystem services assessment. This study investigates the potential of spectral and spatial features derived from single-date and multi-seasonal Sentinel-2 Multi Spectral Instrument (Sentinel-2 MSI) images, for GSV estimation in a Mediterranean region of Northeastern Greece. Original spectral bands, spectral indices, first-order statistics, Gray-Level Co-Occurrence Matrix (GLCM) texture measures, and Local Indicators of Spatial Association (LISA), based on the multi-seasonal and single-date Sentinel-2 MSI imagery, were used for GSV model development using the bagging LASSO algorithm. For both single and multi-date approaches, the spectral indices models were more accurate compared to the respective ones developed with the original Sentinel-2 MSI bands. Also, models based on texture were more efficient than the spectral models. The GLCM measures derived from July image, provided the most accurate single-date estimate of GSV (R2 = 0.89, RMSE = 35.21), while their multi-seasonal counterparts improved slightly the accuracy (R2 = 0.91, RMSE = 32.77). Fusion of spatial and textural information resulted in marginal or no-improvement on the texture model accuracy, however the fused models yielded higher predictive results than the spectral models alone.
Keywords	algorithms ; carbon sinks ; ecosystem services ; forest inventory ; forests ; models ; statistics ; texture ; Greece ; Mediterranean region
Language	English
Dates of publication	2019-05
Size	p. 1-14.
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	2097960-5
ISSN	0303-2434 ; 0303-2434
ISSN (online)	0303-2434
ISSN	0303-2434
DOI	10.1016/j.jag.2018.12.004
Database	NAL-Catalogue (AGRICOLA)

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Article: State-of-play in addressing urban environmental pressures: Mind the gaps

Georgiadis, Charalampos / Patias, Petros / Verde, Natalia / Tsioukas, Vassilios / Kaimaris, Dimitris / Georgoula, Olga / Kocman, David / Athanasopoulou, Eleni / Speyer, Orestis / Raudner, Astrid / Karl, Matthias / Gerasopoulos, Evangelos

Environmental science & policy. 2022 June, v. 132

2022

Abstract: The creation of Smart Cities is an emerging research and application field that has the objective to increase city resilience and improve the quality of life for citizens. In this paper an extensive and thorough gap analysis that was performed in the ... ...

Abstract	The creation of Smart Cities is an emerging research and application field that has the objective to increase city resilience and improve the quality of life for citizens. In this paper an extensive and thorough gap analysis that was performed in the framework of the SMURBS¹1https://smurbs.eu/ project is presented. The gap analysis identified 117 gaps in the legal, methodological, and technological framework, in the thematic areas of air quality, disasters, urban growth and migration. The identified gaps can be used by policy makers in local, regional, national, or even at EU or UN level to form new policies that will bridge these gaps and lead to the creation of resilient and sustainable smart cities.
Keywords	air quality ; issues and policy ; quality of life ; urbanization
Language	English
Dates of publication	2022-06
Size	p. 308-322.
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	1454687-5
ISSN	1462-9011
ISSN	1462-9011
DOI	10.1016/j.envsci.2022.02.030
Database	NAL-Catalogue (AGRICOLA)

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Book: Strengthening and development of Earth Observation activities for the environment in the Balkan area (OBSERVE)

Patias, Petros

Abstract: Objective: Balkan countries do not have a coherent and continuous approach towards the challenge of implementing integrated Earth Observation (EO) applications in environmental monitoring and management. It should be mentioned that the Balkan countries, ... ...

Institution	University Thessaloniki, University Campus, 54006, Thessaloniki, GR
Abstract	Objective: Balkan countries do not have a coherent and continuous approach towards the challenge of implementing integrated Earth Observation (EO) applications in environmental monitoring and management. It should be mentioned that the Balkan countries, except Greece, are not ESA members. Besides, Albania, Serbia, Bulgaria, FYROM, Montenegro and Bosnia Herzegovina are also not members of the GEO. The defect in the implementation of EO applications and their use in the environmental decision making are manifested through the limited synergies among national and regional institutions, ineffective technological means and discontinuous record of participation to international organizations and committees. On the other hand, the increasing importance of a common approach towards effective environmental monitoring practices, for the benefit of the societal web of the broader Balkan region, calls for immediate action, setting as a starting point the built up of regional institutional capacity and spillage of technology transfer. The aim of the OBSERVE project is to collect and compile all the necessary information for delivering an integrated analysis on the current status of EO activities and networks in the Balkans regarding environmental monitoring, the potential benefit from the full exploitation of an integrated capacity building strategy and the prospect of creating a relevant permanent EO Community in the broader region. OBSERVE project has the ultimate goal to raise awareness and establish firm links with the regional decision making bodies on the importance of a mutual and enhanced EO application network on environmental monitoring according to the principles of the GEO. The OBSERVE project consortium consists of 15 institutions from 13 different countries, 8 of which belong to the Balkan region. 10 of the partners are Universities/Research Organizations while the other 5 are from private sector.
Keywords	Kapazitaetsaufbau (Faehigkeiten) ; Werkzeug ; Verwertung ; Umwelt ; Monitoring ; Management ; Diskontinuierliches Verfahren ; Oelteppich ; Rechtsstreit ; Vermehrung ; Region ; Personal- und Organisationsentwicklung ; Technologietransfer ; Abgrabung ; Forschung ; Gebiet ; Prospektion ; Koerperschaft ; Synergismus ; Balkan ; Montenegro ; Griechenland ; Albanien
Language	English
Document type	Book
Remark	project start: 11/01/2010 project end: 10/31/2012 grant ID: 265282
Database	Environmental research database (UFORDAT) of the German Federal Environment Agency (UBA)

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Book: On the reduction of health effects from combined exposure to indoor air pollutants in modern offices (OFFICAIR)

Patias, Petros

Abstract: Objective: Modern offices usually have several sorts of electronic equipment and other dominant heat sources indoors, making them almost unaffected by local climatic conditions. Air conditioning and mechanical ventilation coupled with the often excessive ...

Institution	University of Western Macedonia (UOWM), Parko Agiou Dimitriou 1, , Kozani, GR
Abstract	Objective: Modern offices usually have several sorts of electronic equipment and other dominant heat sources indoors, making them almost unaffected by local climatic conditions. Air conditioning and mechanical ventilation coupled with the often excessive levels of artificial lighting, require high levels of energy. At the European Union (EU) level, the Directive 91/2002, (EPBD), is a major step towards rational energy use. An important issue to consider regards IAQ. It is anticipated that developments in the field of energy use in offices will lead to its reduction through various strategies, including comfort/health standards and ventilation levels. In such a context and given the technological evolution of the functions and services accomplished in offices, it is time to address the issue of IAQ in offices. The participants of this proposal are fully aware of the issues described above and, particularly, of the difficulties to launch solid policies on IAQ, both generally and specifically in offices, related simultaneously to ventilation, energy and health. The uncertainties that justify those difficulties are derived from the lack of information regarding the toxicity of a number of compounds that pollute indoor air. Furthermore, the lack of knowledge of their indoor concentrations and exposures in the current conditions means that the real impact of these compounds on IAQ, comfort/ health and productivity in offices is unknown. The overall objective of the OFFICAIR proposal is twofold. Firstly, to establish a framework that will provide new knowledge in terms of databases, modelling tools and assessment methods towards an integrated approach in assessing the health risk from indoor air pollution, focusing on modern office buildings. Secondly, to support current EU policies, such as, the Thematic Strategy on Air Pollution and the European Environment and Health Strategy and Action Plan.
Keywords	Buero ; Waermequelle ; Klimatisierung ; Lueftung ; Richtlinie ; Energienutzung ; Gebiet ; Ackerland ; Blei ; Evolution ; Dienstleistung ; Feststoff ; Politik ; Energie ; Gesundheit ; Innenraumluft ; Konzentrat ; Exposition ; Mittel ; Wirkung ; Produktivitaet ; Datenbank ; Modellierung ; Werkzeug ; Bewertung ; Gesundheitsgefaehrdung ; Luftverschmutzung von Innenraeumen ; Buerogebaeude ; Verunreinigungen ; Umwelt ; Rechtsstreit ; Plan (Planung) ; Schadstoffbelastung ; Luftschadstoff
Language	English
Document type	Book
Remark	project start: 11/01/2010 project end: 10/31/2013 grant ID: 265267
Database	Environmental research database (UFORDAT) of the German Federal Environment Agency (UBA)

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Book ; Online: ESTIMATING WOOD VOLUME FOR PINUS BRUTIA TREES IN FOREST STANDS FROM QUICKBIRD-2 IMAGERY

Patias, Petros / Stournara, Panagiota

eISSN: 2194-9034

2016

Abstract: Knowledge of forest parameters, such as wood volume, is required for a sustainable forest management. Collecting such information in the field is laborious and even not feasible in inaccessible areas. In this study, tree wood volume is estimated ... ...

Abstract	Knowledge of forest parameters, such as wood volume, is required for a sustainable forest management. Collecting such information in the field is laborious and even not feasible in inaccessible areas. In this study, tree wood volume is estimated utilizing remote sensing techniques, which can facilitate the extraction of relevant information. The study area is the University Forest of Taxiarchis, which is located in central Chalkidiki, Northern Greece and covers an area of 58km 2 . The tree species under study is the conifer evergreen species P. brutia (Calabrian pine). Three plot surfaces of 10m radius were used. VHR Quickbird-2 images are used in combination with an allometric relationship connecting the Tree Crown with the Diameter at breast height (Dbh), and a volume table developed for Greece. The overall methodology is based on individual tree crown delineation, based on (a) the marker-controlled watershed segmentation approach and (b) the GEographic Object-Based Image Analysis approach. The aim of the first approach is to extract separate segments each of them including a single tree and eventual lower vegetation, shadows, etc. The aim of the second approach is to detect and remove the “noisy” background. In the application of the first approach, the Blue, Green, Red, Infrared and PCA-1 bands are tested separately. In the application of the second approach, NDVI and image brightness thresholds are utilized. The achieved results are evaluated against field plot data. Their observed difference are between -5% to +10%.
Subject code	333
Language	English
Publishing date	2016-06-21
Publishing country	de
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Essential earth observation variables for high-level multi-scale indicators and policies

Lehmann, Anthony / Mazzetti, Paolo / Santoro, Mattia / Nativi, Stefano / Masò, Joan / Serral, Ivette / Spengler, Daniel / Niamir, Aidin / Lacroix, Pierre / Ambrosone, Mariapaola / McCallum, Ian / Kussul, Nataliia / Patias, Petros / Rodila, Denisa / Ray, Nicolas / Giuliani, Grégory

Environmental science & policy. 2022 May, v. 131

2022

Abstract: Several holistic approaches are based on the description of socio-ecological systems to address the sustainability challenge. Essential Variables (EVs) have the potential to support these approaches by describing the status of the Earth system through ... ...

Abstract	Several holistic approaches are based on the description of socio-ecological systems to address the sustainability challenge. Essential Variables (EVs) have the potential to support these approaches by describing the status of the Earth system through monitoring and modeling. The different classes of EVs can be organized along the environmental policy framework of Drivers, Pressures, States, Impacts and Responses. The EV concept represents an opportunity to strengthen monitoring systems by providing observations to seize the fundamental dimensions of the Earth system The Group on Earth Observation (GEO) is a partnership of 113 nations and 134 participating organizations in 2021 that are dedicated to making Earth Observation (EO) data available globally to inform about the state of the environment and enable data-driven decision processes. GEO is building the Global Earth Observation System of Systems, a set of coordinated and independent EO, information and processing systems that interoperate to provide access to EO for users in the public and private sectors. The progresses made in the development of various classes of EVs are described with their main policy targets, Internet links and key references The paper reviews the literature on EVs and describes the main contributions of the EU GEOEssential project to integrate EVs within the work plan of GEO in order to better address selected environmental policies and the SDGs. A new GEO-EVs community has been set to discuss about the current status of the EVs, exchange knowledge, experiences and assess the gaps to be solved in their communities of providers and users. A set of four traits characterizing an EV was put forward to describe the entire socio-ecological system of planet Earth: Essentiality, Evolvability, Unambiguity, and Feasibility. A workflow from the identification of EO data sources to the final visualization of SDG 15.3.1 indicators on land degradation is demonstrated, spanning through the use of different EVs, the definition of the knowledge base on this indicator, the implementation of the workflow in the VLab (a cloud-based processing infrastructure), the presentation of the outputs on a dedicated dashboard and the corresponding narrative through a story map. The concept of EV started in the climate sphere and spread to other domains of the earth system but less so in socio-economic activities. More work is therefore needed to converge on a common definition and criteria in order to complete the implementation of EVs in all GEO focus areas. EVs should screen the entire Earth's social-ecological system, providing a trusted and long-term foundation for interdisciplinary approaches such as ecological footprinting, planetary boundaries, disaster risk reduction, and nexus frameworks, as well as many other policy frameworks such as the SDGs
Keywords	Earth system science ; Internet ; climate ; environmental policy ; infrastructure ; land degradation ; social environment ; socioeconomics
Language	English
Dates of publication	2022-05
Size	p. 105-117.
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	1454687-5
ISSN	1462-9011
ISSN	1462-9011
DOI	10.1016/j.envsci.2021.12.024
Database	NAL-Catalogue (AGRICOLA)

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