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description Publicationkeyboard_double_arrow_right Article , Conference object 2021 EnglishPublisher:Space Research and Technology Institute - Bulgarian Academy of Sciences (SRTI-BAS) Georgieva, Emilia; Syrakov, Dimiter; Nedkov, Roumen; Atanassov, Dimiter; Dimitrova, Maria; Spassova, Tatiana; Veleva, Blagorodka; Prodanova, Maria; Kirova, Hristina; Neykova, Nadya; Hristova, Elena; Gochev, Deyan; Trenchev, Plamen; Petrov, Anton; Zaharinova, Mariana;The ESA funded project SIDUAQ made it possible, for the first time in Bulgaria, to use satellite data on atmospheric chemistry for improvement of air pollution modelling at national and local scale, and to use TROPOMI-S5p data for elaboration of maps for particulate matter (PM) concentrations at ground-level. We discuss the effect of satellite data assimilation in the Bulgarian Chemical Weather Forecasting System (BgCWFS) on different pollutants concentrations based on simulations for one summer and one winter months. We present results from downscaling of BgCWFS results for the territory of Bulgaria (9 km spatial resolution) down to city of Plovdiv (250 m resolution) by means of the Local Air Quality Modelling System (LAQMS). The performance of the models is evaluated based on comparison to observational data and to models from the Copernicus CAMS service. The results of models for converting TROPOMI –S5p aerosol data to PM concentrations over Bulgaria are also outlined.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6497217&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 40visibility views 40 download downloads 34 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6497217&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Conference object 2021 TurkeyPublisher:Copernicus GmbH Authors: Z. Uçar; A. E. Akay;Z. Uçar; A. E. Akay;Abstract. Distance education has been offered for years, but the integration of technological developments and opportunities into education has recently increased its popularity and event it became an indispensable method during the Covid-19 pandemic period. In distance education, accessing all class materials such as lecture presentations, class notes, reading materials, videos, live chats or class hours, and archive records allow students (participants) to learn without being in the same environments with teachers or learners. Technology has made vast contributions to the field of education. For instance, 3D as a teaching tool for the class attracts students’ attention, makes the learning process more enjoyable, and increases participation. In particular, for the disciplines, such as forestry, earth, and environmental sciences, which require laboratory exercises, field observation, field trips, and in-situ measurements, 3D modeling has provided many benefits in distance education. It enables 3D demonstration of the individual tree species to develop a virtual field laboratory. This study focused on the data sources and techniques to generate a 3D model of the individual tree species that forestry students used for distance education. The capabilities of the method in the generation of 3D models were evaluated by using UAV-based SfM photogrammetry. The results indicated that implementing 3D images of individual tree species can be a promising method that may increase the interest, interaction and satisfaction of the students in distance education in forestry.
The International Ar... arrow_drop_down ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesOther literature type . 2021Data sources: Copernicus PublicationsBursa Teknik Üniversitesi Akademik Arşiv SistemiConference object . 2021Data sources: Bursa Teknik Üniversitesi Akademik Arşiv SistemiISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/isprs-archives-xlvi-4-w5-2021-533-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 53visibility views 53 download downloads 120 Powered bymore_vert The International Ar... arrow_drop_down ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesOther literature type . 2021Data sources: Copernicus PublicationsBursa Teknik Üniversitesi Akademik Arşiv SistemiConference object . 2021Data sources: Bursa Teknik Üniversitesi Akademik Arşiv SistemiISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/isprs-archives-xlvi-4-w5-2021-533-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Conference object 2021 TurkeyPublisher:Copernicus GmbH Authors: Z. Uçar; R. Eker; A. Aydin;Z. Uçar; R. Eker; A. Aydin;6th International Conference on Smart City Applications -- 27 October 2021 through 29 October 2021 -- 175815 Urban trees and forests are essential components of the urban environment. They can provide numerous ecosystem services and goods, including but not limited to recreational opportunities and aesthetic values, removal of air pollutants, improving air and water quality, providing shade and cooling effect, reducing energy use, and storage of atmospheric CO2. However, urban trees and forests have been in danger of being lost by dense housing resulting from population growth in the cities since the 1950s, leading to increased local temperature, pollution level, and flooding risk. Thus, determining the status of urban trees and forests is necessary for comprehensive understanding and quantifying the ecosystem services and goods. Tree canopy cover is a relatively quick, easy to obtain, and cost-effective urban forestry metric broadly used to estimate ecosystem services and goods of the urban forest. This study aimed to determine urban forest canopy cover areas and monitor the changes between 1984-2015 for the Great Plain Conservation area (GPCA) that has been declared as a conservation Area (GPCA) in 2017, located on the border of Düzce City (Western Black Sea Region of Turkey). Although GPCA is a conservation area for agricultural purposes, it consists of the city center with 250,000 population and most settlement areas. A random point sampling approach, the most common sampling approach, was applied to estimate urban tree canopy cover and their changes over time from historical aerial imageries. Tree canopy cover ranged from 16.0% to 27.4% within the study period. The changes in urban canopy cover between 1984-1999 and 1999-2015 were statistically significant, while there was no statistical difference compared to the changes in tree canopy cover between 1984-2015. The result of the study suggested that an accurate estimate of urban tree canopy cover and monitoring long-Term canopy cover changes are essential to determine the current situation and the trends for the future. It will help city planners and policymakers in decision-making processes for the future of urban areas. © Author(s) 2021. CC BY 4.0 License.
The International Ar... arrow_drop_down ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesOther literature type . 2021Data sources: Copernicus PublicationsISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefDuzce Üniversitesi Akademik Arşiv SistemiConference object . 2021Data sources: Duzce Üniversitesi Akademik Arşiv Sistemiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/isprs-archives-xlvi-4-w5-2021-539-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert The International Ar... arrow_drop_down ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesOther literature type . 2021Data sources: Copernicus PublicationsISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefDuzce Üniversitesi Akademik Arşiv SistemiConference object . 2021Data sources: Duzce Üniversitesi Akademik Arşiv Sistemiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/isprs-archives-xlvi-4-w5-2021-539-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2021 NetherlandsAuthors: Hof, Jessica;Hof, Jessica;The mini-lecture address to what extent Friedman's VSD (Value Sensitive Design) methods can be helpful in ensuring data protection in the eHealth design process. The Dutch app CoronaMelder serves as a case study in this regard.
NARCIS arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=narcis______::4fde63f2270d4c7af5e5523080e6d732&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert NARCIS arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=narcis______::4fde63f2270d4c7af5e5523080e6d732&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2021 EnglishPublisher:Zenodo Authors: Fabio Ashtar Telarico;Fabio Ashtar Telarico;Official publication of the abstracts of a research presented at the 18th International scientific conference ���Perspectives of Business and Entrepreneurship Development: Digital Transformation for Business Model Innovation���, Brno (Czech Republic) September 16-17, 2021.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5874853&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 44visibility views 44 download downloads 30 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5874853&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2021 ItalyPublisher:IEEE Authors: Fotia L.; Delicato F. C.; Fortino G.;Fotia L.; Delicato F. C.; Fortino G.;handle: 20.500.11770/334467 , 11386/4785923
https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/iccsi5...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefArchivio della Ricerca - Università di SalernoConference object . 2021Data sources: Archivio della Ricerca - Università di Salernoadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccsi53130.2021.9736164&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/iccsi5...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefArchivio della Ricerca - Università di SalernoConference object . 2021Data sources: Archivio della Ricerca - Università di Salernoadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccsi53130.2021.9736164&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2021Publisher:IEEE Hammouch, Hajar; El Yacoubi, Mounim; Qin, Huafeng; Berrahou, Aissam; Berbia, Hassan; Chikhaoui, Mohamed;International audience; Recently, Deep Learning models, such as Deep Convolutional Neural Networks (CNNs), have shown remarkable performance on various Computer Vision tasks. Unfortunately, many application domains, such as agriculture image analysis, do not have access to large datasets. In this study, we are interested in the prediction of soil moisture dissipation rates from aerial images using a CNN model. This entails a regression task where the CNN, given an aerial input image, has to predict a vector of regression values associated with the dissipation rates at different locations of the agricultural field. CNNs, however, require large datasets to successfully train the deep network. To this end, we present a Deep Convolutional Generative Adversarial Network (DCGAN) to generate fake agriculture images, that are realistic enough with the objective to augment the original dataset, for better generalization capabilities and more accurate predictions by the trained CNN. Unlike existing GAN-based augmentation approaches used for segmentation or classification, where only images have to be generated to augment the training set, the regression task requires both an image and its associated regression vector. In our approach, we use a two-stage scheme where the baseline CNN trained on the original dataset is harnessed to predict, for each image generated by the DCGAN, the regression vector that will serve as its ground truth in the augmented dataset. The results show that the CNN trained on the augmented dataset in this way allows a relative reduction of the Mean Absolute Error by a percentage of 20.8 w.r.t to the CNN trained on the original dataset. We believe that our approach can be generalized to any image augmentation task involving a regression task.
https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/iccsi5...Conference object . 2021 . Peer-reviewedLicense: STM Policy #29Data sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationConference object . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccsi53130.2021.9736230&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/iccsi5...Conference object . 2021 . Peer-reviewedLicense: STM Policy #29Data sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationConference object . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccsi53130.2021.9736230&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publication2021Publisher:Latvia University of Life Sciences and Technologies Funded by:EC | PoliRuralEC| PoliRuralAuthors: Pužulis, Armands;Pužulis, Armands;Rural development is associated with a variety of contexts. The attractiveness of the countryside forms a summary view of the factors that allow us to talk about the needs of the rural people to make the countryside attractive and economically viable for both locals and tourists. Within the framework of the PoliRural project, the attractiveness of rural areas is considered as a basis for the development of regional development policy. In the initial stage, the definition of rural attractiveness was based on the literature analysis and survey results. The aim of the study is to make improvements to the definition of rural attractiveness based on the contexts of rural development, regional development and rural typology. The study is based on an analysis of the literature, the needs of the pilot regions and the evaluation of selected policies. As a result, recommendations are made to policy makers. A mixed research method approach combining qualitative and quantitative techniques was used to update the initial definition of rural attractiveness. The study conceptualizes the attractiveness of rural areas as a context-based, politically determined and everyday social construct. There is no single definition of rural attractiveness in this sense due to the diversity of cultural, social, territorial, different scales and economic conditions. However, there is reason to talk about a set of factors and contexts that need to be taken into account when designing rural development policy.
ZENODO arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.22616/rrd.27.2021.030&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert ZENODO arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.22616/rrd.27.2021.030&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2021Publisher:Latvia University of Life Sciences and Technologies Authors: Daiva Tiškutė-Memgaudienė;Daiva Tiškutė-Memgaudienė;Due to human activities Lithuanian historical land use and land cover (LULC) changed. Forest land cover was also changing. 200 years ago, forests occupied almost 40% of the entire Lithuania territory, in 1914 – only 20%, and in 1939 – only 17%. The historical changes in forest land cover were mainly related to deforestation. Today, the forest cover is increasing in Lithuania, but changes within different municipalities boundaries differ. The aim of this study was to compare geodata of forest land cover, within different municipalities of Lithuania boundaries, in the 1950s and 2017 for a better understanding of spatial patterns of occurred forest land cover changes. To evaluate forest land cover changes in Lithuania, two geodatabases, representing the forest cover in the 1950s and 2017, were used. Methods of descriptive statistical analysis, spatial autocorrelation, cluster and outlier analysis using ArcGIS and MS EXCEL software were used to process, evaluate and represent the data of this study. The results of this study revealed that forest land cover increased by 7.1% during the investigated period resulting in the forest land area proportion of 33.6% in 2017. Despite positive changes of Lithuania forest land cover, two municipalities met afforestation. Forest land covers most intensively, i. e. 17.1–31.1%, increased in the south-eastern part of Lithuania and west-central part of Lithuania. The most passive afforestation was detected in northern, central, and south-western parts of Lithuania, where forest land cover increased only from 1.2% to 4.9%.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.22616/rrd.27.2021.039&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.22616/rrd.27.2021.039&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Part of book or chapter of book 2021 NorwayPublisher:IEEE Authors: Patón-Romero, Jose David; Jaccheri, Maria Letizia;Patón-Romero, Jose David; Jaccheri, Maria Letizia;handle: 11250/2992052
The continuous adoption and evolution of technology in all aspects and areas of our lives and our environment entails new and complex challenges and asks for interdisciplinary perspective to avoid biases that affect sustainable development. In today’s digital, automated, and globally connected society, digitization and Artificial Intelligence (AI) are among the fields that are taking the most relevance attention and societal impacts. The new technological development they imply and their use by an increasing part of the world population demonstrate that they must be driven by and for all people in society (across gender, culture, nationality, and other kinds of discrimination), protecting and achieving a positive impact on the environment, as well as a sustainable economy for all. Although the challenge is evident, progress has been invariably slow and addressed from isolated perspectives. The hUGe2 research program aims to address sustainability in and by technology (focusing on digitization and AI), analyzing from an interdisciplinary perspective the casuistry and existing discrimination (mainly due to gender imbalance, geographical inequalities, and lack of citizens’ engagement), and proposing new ways to achieve the Sustainable Development Goals (SDGs) tackling the intersectional challenges. To do this, it will be centered around four PhD students and their supervisors, which will investigate common case studies and data sets from different scientific perspectives.
NTNU Open; Norwegian... arrow_drop_down NTNU Open; Norwegian Open Research ArchivesPart of book or chapter of book . 2021https://doi.org/10.1109/bigdat...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert NTNU Open; Norwegian... arrow_drop_down NTNU Open; Norwegian Open Research ArchivesPart of book or chapter of book . 2021https://doi.org/10.1109/bigdat...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article , Conference object 2021 EnglishPublisher:Space Research and Technology Institute - Bulgarian Academy of Sciences (SRTI-BAS) Georgieva, Emilia; Syrakov, Dimiter; Nedkov, Roumen; Atanassov, Dimiter; Dimitrova, Maria; Spassova, Tatiana; Veleva, Blagorodka; Prodanova, Maria; Kirova, Hristina; Neykova, Nadya; Hristova, Elena; Gochev, Deyan; Trenchev, Plamen; Petrov, Anton; Zaharinova, Mariana;The ESA funded project SIDUAQ made it possible, for the first time in Bulgaria, to use satellite data on atmospheric chemistry for improvement of air pollution modelling at national and local scale, and to use TROPOMI-S5p data for elaboration of maps for particulate matter (PM) concentrations at ground-level. We discuss the effect of satellite data assimilation in the Bulgarian Chemical Weather Forecasting System (BgCWFS) on different pollutants concentrations based on simulations for one summer and one winter months. We present results from downscaling of BgCWFS results for the territory of Bulgaria (9 km spatial resolution) down to city of Plovdiv (250 m resolution) by means of the Local Air Quality Modelling System (LAQMS). The performance of the models is evaluated based on comparison to observational data and to models from the Copernicus CAMS service. The results of models for converting TROPOMI –S5p aerosol data to PM concentrations over Bulgaria are also outlined.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6497217&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 40visibility views 40 download downloads 34 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6497217&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Conference object 2021 TurkeyPublisher:Copernicus GmbH Authors: Z. Uçar; A. E. Akay;Z. Uçar; A. E. Akay;Abstract. Distance education has been offered for years, but the integration of technological developments and opportunities into education has recently increased its popularity and event it became an indispensable method during the Covid-19 pandemic period. In distance education, accessing all class materials such as lecture presentations, class notes, reading materials, videos, live chats or class hours, and archive records allow students (participants) to learn without being in the same environments with teachers or learners. Technology has made vast contributions to the field of education. For instance, 3D as a teaching tool for the class attracts students’ attention, makes the learning process more enjoyable, and increases participation. In particular, for the disciplines, such as forestry, earth, and environmental sciences, which require laboratory exercises, field observation, field trips, and in-situ measurements, 3D modeling has provided many benefits in distance education. It enables 3D demonstration of the individual tree species to develop a virtual field laboratory. This study focused on the data sources and techniques to generate a 3D model of the individual tree species that forestry students used for distance education. The capabilities of the method in the generation of 3D models were evaluated by using UAV-based SfM photogrammetry. The results indicated that implementing 3D images of individual tree species can be a promising method that may increase the interest, interaction and satisfaction of the students in distance education in forestry.
The International Ar... arrow_drop_down ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesOther literature type . 2021Data sources: Copernicus PublicationsBursa Teknik Üniversitesi Akademik Arşiv SistemiConference object . 2021Data sources: Bursa Teknik Üniversitesi Akademik Arşiv SistemiISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/isprs-archives-xlvi-4-w5-2021-533-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 53visibility views 53 download downloads 120 Powered bymore_vert The International Ar... arrow_drop_down ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesOther literature type . 2021Data sources: Copernicus PublicationsBursa Teknik Üniversitesi Akademik Arşiv SistemiConference object . 2021Data sources: Bursa Teknik Üniversitesi Akademik Arşiv SistemiISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Conference object 2021 TurkeyPublisher:Copernicus GmbH Authors: Z. Uçar; R. Eker; A. Aydin;Z. Uçar; R. Eker; A. Aydin;6th International Conference on Smart City Applications -- 27 October 2021 through 29 October 2021 -- 175815 Urban trees and forests are essential components of the urban environment. They can provide numerous ecosystem services and goods, including but not limited to recreational opportunities and aesthetic values, removal of air pollutants, improving air and water quality, providing shade and cooling effect, reducing energy use, and storage of atmospheric CO2. However, urban trees and forests have been in danger of being lost by dense housing resulting from population growth in the cities since the 1950s, leading to increased local temperature, pollution level, and flooding risk. Thus, determining the status of urban trees and forests is necessary for comprehensive understanding and quantifying the ecosystem services and goods. Tree canopy cover is a relatively quick, easy to obtain, and cost-effective urban forestry metric broadly used to estimate ecosystem services and goods of the urban forest. This study aimed to determine urban forest canopy cover areas and monitor the changes between 1984-2015 for the Great Plain Conservation area (GPCA) that has been declared as a conservation Area (GPCA) in 2017, located on the border of Düzce City (Western Black Sea Region of Turkey). Although GPCA is a conservation area for agricultural purposes, it consists of the city center with 250,000 population and most settlement areas. A random point sampling approach, the most common sampling approach, was applied to estimate urban tree canopy cover and their changes over time from historical aerial imageries. Tree canopy cover ranged from 16.0% to 27.4% within the study period. The changes in urban canopy cover between 1984-1999 and 1999-2015 were statistically significant, while there was no statistical difference compared to the changes in tree canopy cover between 1984-2015. The result of the study suggested that an accurate estimate of urban tree canopy cover and monitoring long-Term canopy cover changes are essential to determine the current situation and the trends for the future. It will help city planners and policymakers in decision-making processes for the future of urban areas. © Author(s) 2021. CC BY 4.0 License.
The International Ar... arrow_drop_down ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesOther literature type . 2021Data sources: Copernicus PublicationsISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefDuzce Üniversitesi Akademik Arşiv SistemiConference object . 2021Data sources: Duzce Üniversitesi Akademik Arşiv Sistemiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/isprs-archives-xlvi-4-w5-2021-539-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert The International Ar... arrow_drop_down ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesOther literature type . 2021Data sources: Copernicus PublicationsISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefDuzce Üniversitesi Akademik Arşiv SistemiConference object . 2021Data sources: Duzce Üniversitesi Akademik Arşiv Sistemiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/isprs-archives-xlvi-4-w5-2021-539-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2021 NetherlandsAuthors: Hof, Jessica;Hof, Jessica;The mini-lecture address to what extent Friedman's VSD (Value Sensitive Design) methods can be helpful in ensuring data protection in the eHealth design process. The Dutch app CoronaMelder serves as a case study in this regard.
NARCIS arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=narcis______::4fde63f2270d4c7af5e5523080e6d732&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert NARCIS arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=narcis______::4fde63f2270d4c7af5e5523080e6d732&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2021 EnglishPublisher:Zenodo Authors: Fabio Ashtar Telarico;Fabio Ashtar Telarico;Official publication of the abstracts of a research presented at the 18th International scientific conference ���Perspectives of Business and Entrepreneurship Development: Digital Transformation for Business Model Innovation���, Brno (Czech Republic) September 16-17, 2021.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5874853&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 44visibility views 44 download downloads 30 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5874853&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2021 ItalyPublisher:IEEE Authors: Fotia L.; Delicato F. C.; Fortino G.;Fotia L.; Delicato F. C.; Fortino G.;handle: 20.500.11770/334467 , 11386/4785923
https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/iccsi5...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefArchivio della Ricerca - Università di SalernoConference object . 2021Data sources: Archivio della Ricerca - Università di Salernoadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccsi53130.2021.9736164&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/iccsi5...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefArchivio della Ricerca - Università di SalernoConference object . 2021Data sources: Archivio della Ricerca - Università di Salernoadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccsi53130.2021.9736164&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2021Publisher:IEEE Hammouch, Hajar; El Yacoubi, Mounim; Qin, Huafeng; Berrahou, Aissam; Berbia, Hassan; Chikhaoui, Mohamed;International audience; Recently, Deep Learning models, such as Deep Convolutional Neural Networks (CNNs), have shown remarkable performance on various Computer Vision tasks. Unfortunately, many application domains, such as agriculture image analysis, do not have access to large datasets. In this study, we are interested in the prediction of soil moisture dissipation rates from aerial images using a CNN model. This entails a regression task where the CNN, given an aerial input image, has to predict a vector of regression values associated with the dissipation rates at different locations of the agricultural field. CNNs, however, require large datasets to successfully train the deep network. To this end, we present a Deep Convolutional Generative Adversarial Network (DCGAN) to generate fake agriculture images, that are realistic enough with the objective to augment the original dataset, for better generalization capabilities and more accurate predictions by the trained CNN. Unlike existing GAN-based augmentation approaches used for segmentation or classification, where only images have to be generated to augment the training set, the regression task requires both an image and its associated regression vector. In our approach, we use a two-stage scheme where the baseline CNN trained on the original dataset is harnessed to predict, for each image generated by the DCGAN, the regression vector that will serve as its ground truth in the augmented dataset. The results show that the CNN trained on the augmented dataset in this way allows a relative reduction of the Mean Absolute Error by a percentage of 20.8 w.r.t to the CNN trained on the original dataset. We believe that our approach can be generalized to any image augmentation task involving a regression task.
https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/iccsi5...Conference object . 2021 . Peer-reviewedLicense: STM Policy #29Data sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationConference object . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccsi53130.2021.9736230&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert https://doi.org/10.1... arrow_drop_down https://doi.org/10.1109/iccsi5...Conference object . 2021 . Peer-reviewedLicense: STM Policy #29Data sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationConference object . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccsi53130.2021.9736230&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publication2021Publisher:Latvia University of Life Sciences and Technologies Funded by:EC | PoliRuralEC| PoliRuralAuthors: Pužulis, Armands;Pužulis, Armands;Rural development is associated with a variety of contexts. The attractiveness of the countryside forms a summary view of the factors that allow us to talk about the needs of the rural people to make the countryside attractive and economically viable for both locals and tourists. Within the framework of the PoliRural project, the attractiveness of rural areas is considered as a basis for the development of regional development policy. In the initial stage, the definition of rural attractiveness was based on the literature analysis and survey results. The aim of the study is to make improvements to the definition of rural attractiveness based on the contexts of rural development, regional development and rural typology. The study is based on an analysis of the literature, the needs of the pilot regions and the evaluation of selected policies. As a result, recommendations are made to policy makers. A mixed research method approach combining qualitative and quantitative techniques was used to update the initial definition of rural attractiveness. The study conceptualizes the attractiveness of rural areas as a context-based, politically determined and everyday social construct. There is no single definition of rural attractiveness in this sense due to the diversity of cultural, social, territorial, different scales and economic conditions. However, there is reason to talk about a set of factors and contexts that need to be taken into account when designing rural development policy.
ZENODO arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.22616/rrd.27.2021.030&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert ZENODO arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.22616/rrd.27.2021.030&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2021Publisher:Latvia University of Life Sciences and Technologies Authors: Daiva Tiškutė-Memgaudienė;Daiva Tiškutė-Memgaudienė;Due to human activities Lithuanian historical land use and land cover (LULC) changed. Forest land cover was also changing. 200 years ago, forests occupied almost 40% of the entire Lithuania territory, in 1914 – only 20%, and in 1939 – only 17%. The historical changes in forest land cover were mainly related to deforestation. Today, the forest cover is increasing in Lithuania, but changes within different municipalities boundaries differ. The aim of this study was to compare geodata of forest land cover, within different municipalities of Lithuania boundaries, in the 1950s and 2017 for a better understanding of spatial patterns of occurred forest land cover changes. To evaluate forest land cover changes in Lithuania, two geodatabases, representing the forest cover in the 1950s and 2017, were used. Methods of descriptive statistical analysis, spatial autocorrelation, cluster and outlier analysis using ArcGIS and MS EXCEL software were used to process, evaluate and represent the data of this study. The results of this study revealed that forest land cover increased by 7.1% during the investigated period resulting in the forest land area proportion of 33.6% in 2017. Despite positive changes of Lithuania forest land cover, two municipalities met afforestation. Forest land covers most intensively, i. e. 17.1–31.1%, increased in the south-eastern part of Lithuania and west-central part of Lithuania. The most passive afforestation was detected in northern, central, and south-western parts of Lithuania, where forest land cover increased only from 1.2% to 4.9%.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.22616/rrd.27.2021.039&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.22616/rrd.27.2021.039&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Part of book or chapter of book 2021 NorwayPublisher:IEEE Authors: Patón-Romero, Jose David; Jaccheri, Maria Letizia;Patón-Romero, Jose David; Jaccheri, Maria Letizia;handle: 11250/2992052
The continuous adoption and evolution of technology in all aspects and areas of our lives and our environment entails new and complex challenges and asks for interdisciplinary perspective to avoid biases that affect sustainable development. In today’s digital, automated, and globally connected society, digitization and Artificial Intelligence (AI) are among the fields that are taking the most relevance attention and societal impacts. The new technological development they imply and their use by an increasing part of the world population demonstrate that they must be driven by and for all people in society (across gender, culture, nationality, and other kinds of discrimination), protecting and achieving a positive impact on the environment, as well as a sustainable economy for all. Although the challenge is evident, progress has been invariably slow and addressed from isolated perspectives. The hUGe2 research program aims to address sustainability in and by technology (focusing on digitization and AI), analyzing from an interdisciplinary perspective the casuistry and existing discrimination (mainly due to gender imbalance, geographical inequalities, and lack of citizens’ engagement), and proposing new ways to achieve the Sustainable Development Goals (SDGs) tackling the intersectional challenges. To do this, it will be centered around four PhD students and their supervisors, which will investigate common case studies and data sets from different scientific perspectives.
NTNU Open; Norwegian... arrow_drop_down NTNU Open; Norwegian Open Research ArchivesPart of book or chapter of book . 2021https://doi.org/10.1109/bigdat...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/bigdata52589.2021.9671375&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert NTNU Open; Norwegian... arrow_drop_down NTNU Open; Norwegian Open Research ArchivesPart of book or chapter of book . 2021https://doi.org/10.1109/bigdat...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/bigdata52589.2021.9671375&type=result"></script>'); --> </script>
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