Analysis of degradation processes in reservoirs based on remote sensing data

• Autorzy: Jaskula J. , Sojka M.

Warianty tytułu

PL

Analiza procesów degradacji zachodzących w zbiornikach retencyjnych na podstawie danych satelitarnych

• Języki publikacji: EN

Abstrakty

EN

Aim of the study The primary objective was to assess spatio-temporal changes of the vegetation occurring in 12 reservoirs located in the Odra River basin. The analysis was made for reservoirs of different constructions, i.e. single stage, two-stage and lateral. The second purpose was to analyze possibility using remote sensing data to monitor the dynamics of the vegetation processes. Material and methods Monitoring and mapping of spatio-temporal changes of the vegetation occurring in the reservoirs was analyzed on the basis on Sentinel-2 data. The analysis was based on the NDVI and the WAVI indices. To specify spatial changes of vegetation, the reservoirs were split into zones equals to 250 m. The statistical analysis was aimed at comparing the NDVI and the WAVI values between designated zones. In turn, Cluster analysis (CA) was used to group reservoirs into clusters on the basis of similarities between the NDVI and the WAVI values. Results and conclusions Cluster analysis (CA) showed that each reservoir is separate water body where decisive impact on degradation process could have different factor. There was observed that two-stage construction focuses degradation processes in pre-reservoir and protect water resources in the main part. Additionally, relatively new solution – lateral reservoirs seems to be alternative preventing degradation processes. Taking into account possibility of using satellite imagery, there was observed that resolutions of Sentinel-2 satellite imagery allow to monitor vegetation processes in terms of time and space. The major limitation of using remote sensing data is high cloud density, which significantly reduces the number of observations during most of the year.

PL

Cel pracy Podstawowym celem pracy była ocena zmian czasowo-przestrzennych wegetacji występujących w 12 zbiornikach retencyjnych zlokalizowanych w dorzeczu Odry. Analizę przeprowadzono dla zbiorników o różnych konstrukcjach – jednostopniowych, zbiorników z wydzieloną częścią wstępną oraz lateralnych. Drugim celem pracy była analiza możliwości wykorzystania danych satelitarnych do monitorowania dynamiki procesów wegetacyjnych. Materiał i metody Monitorowanie i mapowanie zmian czasowo-przestrzennych wegetacji zachodzących w zbiornikach analizowano na podstawie danych z satelity Sentinel-2. Analiza procesów degradacji przeprowadzona została przy wykorzystaniu indeksów NDVI i WAVI. W celu określenia zmian przestrzennych, zbiorniki podzielono na strefy równe 250 m. Analiza skupień (CA) została wykorzystana do grupowania zbiorników w klastry na podstawie podobieństw pomiędzy wartościami indeksów spektralnych. Wyniki i wnioski Analiza skupień (CA) wykazała, że każdy ze zbiorników funkcjonuje jako indywidualny obiekt, w którym decydujący wpływ na procesy degradacji może mieć inny czynnik. Zaobserwowano, że dwustopniowa konstrukcja zbiorników wpływa korzystnie na ograniczenie dopływu zanieczyszczeń do części głównej, skupiając procesy degradacji w zbiorniku wstępnym. Ponadto wykazano, że funkcjonowanie zbiorników lateralnych może pozytywnie wpływać na ograniczenie procesów degradacji w obrębie zbiornika. Analiza możliwości wykorzystania zdjęć satelitarnych wykazała, że satelity Sentinel-2 stanowią obiecujące źródło danych umożliwiające detekcję procesów degradacji w ujęciu czasowym i przestrzennym. Głównym ograniczeniem wykorzystania zobrazowań satelitarnych jest pokrycie chmur, które znacznie zmniejsza liczbę obserwacji w ciągu roku.

• Wydawca: -
• Czasopismo: Acta Scientiarum Polonorum. Formatio Circumiectus
• Rocznik: 2019
• Tom: 18
• Numer: 2
• Opis fizyczny: s.23-37,fig.,ref.

Twórcy

autor

Jaskula J.

• Faculty of Environmental Engineering and Spatial Management, Poznan University of Life Sciences, Piatkowska 94, 60-649 Poznan, Poland

autor

Sojka M.

• Faculty of Environmental Engineering and Spatial Management, Poznan University of Life Sciences, Piatkowska 94, 60-649 Poznan, Poland

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Identyfikatory

DOI

10.15576/ASP.FC/2019.18.2.23