Spatial-temporal geodynamics monitoring of land-use and land cover changes in Stebnyk, Ukraine based on Earth remote sensing data

Simple item page
dc.citation.epage15
dc.citation.issue1(32)
dc.citation.journalTitleГеодинаміка
dc.citation.spage5
dc.contributor.affiliationНаціональний університет “Львівська політехніка”
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorГлотов, Володимир
dc.contributor.authorБяла, Мирослава
dc.contributor.authorHlotov, Volodymyr
dc.contributor.authorBiala, Myroslava
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2023-07-03T08:11:34Z
dc.date.available2023-07-03T08:11:34Z
dc.date.created2028-02-22
dc.date.issued2028-02-22
dc.description.abstractПодано результати аналізу та моніторингу змін складу категорій земель регіону міста Стебник (Львівська область, Україна) як об’єкта підвищеної техногенної небезпеки (на території спостерігаються карстові провали, що є наслідком порушення умов консервації підземних шахт видобутку калійної солі). Видобуток здійснювався без закладання відпрацьованих порожнин, унаслідок чого утворилися пустоти близько 33 млн м3, які пролягають під житловим сектором та дорожньою інфраструктурою, і потенційно можуть бути місцем наступного провалу, що загрожує населенню та ландшафтній екосистемі регіону загалом. Дослідження ґрунтувалось на супутникових знімках Landsat 7 та 8 станом на лютий 2002 р. та грудень 2019 р. відповідно, та даних ETM+. Для виявлення та аналізу просторово-часової динаміки змін типів земельного покриву використано методику контрольованої класифікації за методом максимальної вірогідності із поділом на чотири класи. Також апробовано застосування вегетаційного індексу NDVI та проведення на його основі класифікації. Для підвищення точності даних використана растрова фільтрація зображень. Для аналізу зміни складу категорій земель за досліджуваний період застосовано підхід порівняння після класифікації. Виявлено, що за 2002–2019 рр. забудована територія зросла на 5,61 %, площі лісів та полів зменшились на 2,77 % та 2,36 % відповідно. Площа водних об’єктів зазнала найменших змін (+0,37 %). Оцінка якості класифікацій продемонструвала, що класифікація, виконана на основі RGB знімків, точна порівняно з класифікацією на основі вегетаційного індексу NDVI, за більшістю класів фільтрована класифікація дала точніші результати. Моніторинг змін земної поверхні задля збалансованого локального, регіонального та національного розвитку і планування територій є новим напрямом застосування даних дистанційного зондування Землі (ДЗЗ) в Україні, що дає змогу оцінити наявний стан геокомпонентів системи та спрогнозувати їх подальші зміни. Вивчення антропогенної активності дає можливість передбачити небезпечні техногенні процеси і завдяки цьому уникнути чи зменшити їх наслідки. Результати дослідження можуть використовуватись як основа для подальшого моніторингу регіону, а також бути корисними для територіальних громад з метою гармонійного, сталого розвитку та управління земельними ресурсами досліджуваної ділянки.
dc.description.abstractThe article presents the analysis and monitoring of land-use/land cover (LULC) changes considering the case study of Stebnyk, Lviv region, Ukraine, as an area of increased anthropogenic hazard impact (characterized by the karst sinkholes creation which is the result of extracting the potassium salt from underground mines and the violation of their conservation). The extraction was carried out without backfilling the underground excavations, resulting in the void formation of about 33 million m3 lying under the residential sector and road infrastructure, and could potentially be the site of future landslides/sinkholes that threaten the inhabitants and landscape ecosystem of the region as a whole. The research is based on Landsat 7 and 8 satellite images (made in February 2002 and December 2019, respectively), and ETM+ (Enhanced Thematic Mapper) data. Supervised classification conducted by maximum likelihood method was used to identify and analyze the spatial and temporal LULC changes on the territory divided into four classes. Vegetation indices NDVI have been calculated, analyzed and featured for further supervised classification. The accuracy of the obtained data had been improved by raster image filtering. A post-classification comparison approach was used to analyze LULC changes over the research period. It was established that for the period 2002–2019 the built-up area has increased by 5.61 %, and the areas of forests and fields have decreased by 2.77 % and 2.36%, respectively. The area of water bodies has undergone the least changes (+0.37%). The accuracy estimation of carried out classifications showed that the classification based on RGB images is more accurate than the classification based on the NDVI; the filtered classification showed more accurate results for most classes, than the unfiltered one. LULC monitoring for balanced regional, local and national development, as well as territorial planning, is a new area of the application of the Earth remote sensing (ERS) data in Ukraine. It allows assessing the state of the geocomponents system and predicting their further changes. The study of anthropogenic activity makes it possible to predict dangerous technogenic processes and thus avoid or reduce their consequences. The results of the research can be used as a basis for further monitoring of the Stebnyk region. They will also be useful to territorial communities for harmonious, sustainable development and land management of the studied area.
dc.format.extent5-15
dc.format.pages11
dc.identifier.citationHlotov V. Spatial-temporal geodynamics monitoring of land-use and land cover changes in Stebnyk, Ukraine based on Earth remote sensing data / Volodymyr Hlotov, Myroslava Biala // Geodynamics. — Lviv : Lviv Politechnic Publishing House, 2022. — No 1(32). — P. 5–15.
dc.identifier.citationenHlotov V. Spatial-temporal geodynamics monitoring of land-use and land cover changes in Stebnyk, Ukraine based on Earth remote sensing data / Volodymyr Hlotov, Myroslava Biala // Geodynamics. — Lviv : Lviv Politechnic Publishing House, 2022. — No 1(32). — P. 5–15.
dc.identifier.doidoi.org/10.23939/jgd2022.02.005
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/59367
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofГеодинаміка, 1(32), 2022
dc.relation.ispartofGeodynamics, 1(32), 2022
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dc.relation.referencesenDhingra, S., & Kumar, D. (2019). A review of
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dc.relation.referencesenInternational Journal of Electrical & Computer
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dc.relation.referencesenhttps://doi.org/10.1016/j.ecoinf.2019.03.006.
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dc.relation.referencesensatellite data. Applied Geography, 40, 150–160.
dc.relation.referencesenhttps://doi.org/10.1016/j.apgeog.2013.02.005
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dc.relation.referencesen& Dzoba, U. O. (2019). Integration of electric
dc.relation.referencesenprospectingmethods for forecasting the subsidence
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dc.relation.referencesenLi, J., Yang, L., Pu, R., & Liu, Y. (2017). A review on
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dc.relation.referencesenRiese, F. M., Keller, S., & Hinz, S. (2019). Supervised
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dc.rights.holder© Інститут геології і геохімії горючих копалин Національної академії наук України, 2022
dc.rights.holder© Інститут геофізики ім. С. І. Субботіна Національної академії наук України, 2022
dc.rights.holder© Національний університет “Львівська політехніка”, 2022
dc.rights.holder© Hlotov Volodymyr, Biala Myroslava
dc.subjectдані дистанційного зондування Землі
dc.subjectмоніторинг
dc.subjectантропогенна активність
dc.subjectконтрольована класифікація
dc.subjectNDVI
dc.subjectEarth remote sensing data
dc.subjectmonitoring
dc.subjectanthropogenic activity
dc.subjectsupervised image classification
dc.subjectNDVI
dc.subject.udc528.721
dc.titleSpatial-temporal geodynamics monitoring of land-use and land cover changes in Stebnyk, Ukraine based on Earth remote sensing data
dc.title.alternativeМоніторинг просторово-часових геодинамічних змін складу категорій земель на прикладі регіону міста Стебник за даними дистанційного зондування Землі
dc.typeArticle

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