K. Adamek, Michał Lupa, Andrzej Leśniak, Jakub Ryznar, Adrian Ochtyra, Adriana Marcinkowska-Ochtyra, Michał Wyczałek-Jagiełło
{"title":"Preliminary geological work, based on remote sensing analysis, using artificially enhanced satellite data","authors":"K. Adamek, Michał Lupa, Andrzej Leśniak, Jakub Ryznar, Adrian Ochtyra, Adriana Marcinkowska-Ochtyra, Michał Wyczałek-Jagiełło","doi":"10.2478/mgrsd-2023-0018","DOIUrl":null,"url":null,"abstract":"Abstract This study aims to identify areas that present similar spectral characteristics to collected rock samples through the use of satellite imagery and spectral analysis. The results indicate that pixels marked in the satellite images exhibit similarities to the spectral characteristics of the samples. Misclassified objects or areas may be included in the results due to mixed pixels and spatial resolution limitations. The similarities identified could result from the region’s mineral composition of building materials, bare land, or dry vegetation. The averaged spectral curve patterns of the samples show similarity overall, but they are not identical, as reflected by the tenth quantile of the similarity coefficient. This research provides a valuable support tool for preliminary geological assessment, and information relating to vast and challenging-to-access parts of prospective areas for further investigation.","PeriodicalId":44469,"journal":{"name":"Miscellanea Geographica","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2023-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Miscellanea Geographica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/mgrsd-2023-0018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract This study aims to identify areas that present similar spectral characteristics to collected rock samples through the use of satellite imagery and spectral analysis. The results indicate that pixels marked in the satellite images exhibit similarities to the spectral characteristics of the samples. Misclassified objects or areas may be included in the results due to mixed pixels and spatial resolution limitations. The similarities identified could result from the region’s mineral composition of building materials, bare land, or dry vegetation. The averaged spectral curve patterns of the samples show similarity overall, but they are not identical, as reflected by the tenth quantile of the similarity coefficient. This research provides a valuable support tool for preliminary geological assessment, and information relating to vast and challenging-to-access parts of prospective areas for further investigation.