dc.contributor.author | Sužiedelytė Visockienė, Jūratė | |
dc.contributor.author | Tumelienė, Eglė | |
dc.contributor.author | Malienė, Vida | |
dc.date.accessioned | 2023-09-18T20:16:31Z | |
dc.date.available | 2023-09-18T20:16:31Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 2071-1050 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/148464 | |
dc.description.abstract | H. sosnowskyi (Heracleum Sosnowskyi) is a plant widespread both in Lithuania and other States that causes abundant problems. The damage caused by the population of the said plant is many-sided: it menaces the biodiversity of the land, poses risk to human health, and causes considerable economic losses. In course of searching for effective and complex measures of struggle against this invasive plant, it is very important to identify places and areas of growing of H. sosnowskyi, to carry out the detailed investigation and monitoring of the analysis of its spread and to avoid leaving this process to chance. In the paper, the results of the research where identification of territories covered with H. sosnowskyi (land classification) was accomplished upon applying the Remote Sensing Methodology are presented. The technology of remote sensing offers a practical and economical means to study vegetation cover changes, especially over large areas. Two categories of land cover classification were used for this study: supervised (human-guided) or unsupervised (calculated by software). When the supervised method was applied, the average wavelength of the spectrum of H. sosnowskyi was calculated for classification of the RGB image and according to it, the unsupervised classification by the program was accomplished. The combination of both methods of classification performed in steps allowed to obtain better results than using one. | eng |
dc.format | PDF | |
dc.format.extent | p. 1-14 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Social Sciences Citation Index (Web of Science) | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | CAB Abstracts | |
dc.relation.isreferencedby | DOAJ | |
dc.relation.isreferencedby | INSPEC | |
dc.relation.isreferencedby | RePec | |
dc.relation.isreferencedby | Chemical abstracts | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | https://doi.org/10.3390/su12030759 | |
dc.source.uri | https://www.mdpi.com/2071-1050/12/3/759 | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:49110986/datastreams/MAIN/content | |
dc.title | Identification of Heracleum sosnowskyi-invaded land using earth remote sensing data | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.accessRights | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | |
dcterms.references | 25 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | Vytauto Didžiojo universitetas Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | Vytauto Didžiojo universitetas Liverpool John Moores University | |
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.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 | H. sosnowskyi | |
dc.subject.en | Sentinel | |
dc.subject.en | image processing | |
dc.subject.en | classification | |
dc.subject.en | remote sensing | |
dcterms.sourcetitle | Sustainability: Special issue: Land and water degradation in catchments: the role of remote sensing for assessment and management | |
dc.description.issue | iss. 3 | |
dc.description.volume | vol. 12 | |
dc.publisher.name | MDPI | |
dc.publisher.city | Basel | |
dc.identifier.doi | 000519135100008 | |
dc.identifier.doi | 10.3390/su12030759 | |
dc.identifier.elaba | 49110986 | |