dc.contributor.author | Metrikaitytė-Gudelė, Gustė | |
dc.contributor.author | Sužiedelytė Visockienė, Jūratė | |
dc.date.accessioned | 2023-09-18T16:41:25Z | |
dc.date.available | 2023-09-18T16:41:25Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/116023 | |
dc.description.abstract | The aim of this work is to analyse greenhouse gases (GHGs), their emissions in the agricultural sector, and the possibility of monitoring them through remote sensing (RS), and data-driven solutions. In this paper using GIS software analysed the GHG emission reports of 43 member countries that are regularly submitted to the Secretariat of the United Nations Framework Convention on Climate Change. The analysis highlighted Sweden's leadership in the energy sector, where up to 66% of its electricity comes from renewable sources. New Zealand also stood out in the context of all countries, with very high methane (CH4) emissions due to the country's large livestock population and poor emission controls in the agricultural sector. The article also provided an overview of the satellites currently available on the market for monitoring GHG emissions and a partial analysis of their characteristics. Future work is planned to further investigate the applicability of satellites for monitoring GHG emissions, to provide a detailed analysis of the characteristics of public, commercial, and hybrid satellites, to carry out practical applications of satellite data for the determination of agricultural emissions, and to develop a methodology for continuous emissions monitoring. | eng |
dc.format | PDF | |
dc.format.extent | p. 1-14 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.ispartofseries | ACM International Conference Proceeding Series | |
dc.relation.isreferencedby | ACM Digital Library | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | http://www.icgda.org | |
dc.source.uri | http://camps.aptaracorp.com/ACM_PMS/PMS/ACM/ICGDA2023/6/be91f56c-1a62-11ee-b37c-16bb50361d1f/OUT/icgda2023-6.html | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:168606165/datastreams/MAIN/content | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:168606165/datastreams/ATTACHMENT_168607608/content | |
dc.title | Monitoring of statistical data on GHG emissions using GIS: A review | |
dc.type | Straipsnis konferencijos darbų leidinyje kitoje DB / Paper in conference publication in other DB | |
dcterms.references | 34 | |
dc.type.pubtype | P1c - Straipsnis konferencijos darbų leidinyje kitoje DB / Article in conference proceedings in other DB | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Aplinkos inžinerijos fakultetas / Faculty of Environmental Engineering | |
dc.subject.researchfield | T 004 - Aplinkos inžinerija / Environmental engineering | |
dc.subject.researchfield | T 010 - Matavimų inžinerija / Measurement engineering | |
dc.subject.studydirection | E03 - Aplinkos inžinerija / Environmental engineering | |
dc.subject.studydirection | E04 - Matavimų inžinerija / Measurement engineering | |
dc.subject.vgtuprioritizedfields | SD05 - Geodezinės technologijos / Geodetic technologies | |
dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
dc.subject.en | GHG | |
dc.subject.en | remote sensing | |
dc.subject.en | GIS | |
dc.subject.en | agriculture | |
dc.subject.en | CO2 | |
dc.subject.en | CH4 | |
dc.subject.en | N2O | |
dcterms.sourcetitle | ICGDA 2023 2023 6th International Conference on Geoinformatics and Data Analysis, April 13 -15, 2023 Marseille, France | |
dc.publisher.name | ACM | |
dc.publisher.city | Marseille | |
dc.identifier.doi | 10.1145/3606180.3606186 | |
dc.identifier.elaba | 168606165 | |