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Wyszukujesz frazę "gruszczyński, Jan" wg kryterium: Wszystkie pola


Wyświetlanie 1-2 z 2
Tytuł:
Application of satellite data in the quantitative assessment of evapotranspiration in northeastern Poland
Autorzy:
Zaszewski, Daniel
Gruszczyński, Tomasz
Małecki, Jerzy Jan
Powiązania:
https://bibliotekanauki.pl/articles/2060250.pdf
Data publikacji:
2020
Wydawca:
Państwowy Instytut Geologiczny – Państwowy Instytut Badawczy
Tematy:
evapotranspiration
remote sensing
Landsat
SSEBop
MOD16A2
Kurpie Sandur
Polska
Opis:
We describe a method of calculating one of the basic phenomena influenced by groundwater recharge, namely evapotranspiration (ET). The Operational Simplified Surface Energy Balance (SSEBop) algorithm was applied to calculate actual evapotranspiration (ETa), being modified to include spatiotemporal changes of substrate humidity and so referred to as mSSSEBop. Calculations were performed within the Szkwa and Rozoga River catchments (NE Poland). Quantitative ETa assessment was based on the analysis of Landsat satellite images, hydrometeorological and hydrogeological data. The results obtained for the original SSEBop algorithm and the modified mSSEBop one were compared with the water balance and data from a MOD16A2 dataset. The calculated water balance gave ETa values close to results using mSSEBop (with differences of 9-54 mm/year). In the case of the original algorithm, differences were in range of 42-218 mm/year. When compared with MOD16A2 data, the differences were within the range of -16.7 to 23.2 mm/8 days, with the mSSEBop algorithm giving on average lower ETa sums (~14%) than MOD16A2 while SSEBop gave results higher than MOD16A2 by ~12%. The studies performed indicate that the method presented, using satellite data, gives a reliable, spatial and temporal ETa assessment for the mid latitudes.
Źródło:
Geological Quarterly; 2020, 64, 3; 766--780
1641-7291
Pojawia się w:
Geological Quarterly
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of close-range remote sensing for automatic identification of ice jams in rivers in the area of the inlet to the fishway
Autorzy:
Błotnicki, Jan
Gruszczyński, Maciej
Jarzembowski, Paweł
Popczyk, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/29521079.pdf
Data publikacji:
2023
Wydawca:
Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:
UAV
ice jam
frazil ice
remote sensing
frazil ice jam
fish pass
fish passage
fish ladder
Opis:
Ice phenomena in watercourses and channels pose a threat to flow continuity and hydrotechnical devices. The organoleptic method, relying on human observation, has limitations such as a narrow range, subjective assessment, and high effort, leading to its decline in use. This article presents a number of modern techniques, i.e., the interpretation of RGB images, using unmanned aerial vehicles. Drone imagery offers a bird’s-eye view of areas that would otherwise be difficult to survey. It can improve the detection of frazil ice jams and, thus, contribute to the monitoring and spread of frazil ice. The authors performed research in the area of the Wrocław Water Junction on the Odra River in the area of the inlet near the fish pass at the Opatowice Weir during the flow of frazil ice on the water surface. To observe the phenomenon, a UAV with an RGB camera was used to record video in an orthogonal perspective in order to reduce geometric distortions of the optical system. The center of the frame was used for the analysis. The presented research results and the recognition of the literature indicate the possibility of using the presented technique for early detection of a potential threat from emerging ice phenomena. The results of the conducted analyses are objectively compared to the observational technique used at observation stations and allow for a reliable comparison of the intensity of ice phenomena in selected periods.
Źródło:
Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2023, 75 (147); 97-106
1733-8670
2392-0378
Pojawia się w:
Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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