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Wyszukujesz frazę "Góraj, Maciej" wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Changes in a hydrographic network of the Słowiński National Park in terms of photogrammetric analyses
Autorzy:
Góraj, Maciej
Kucharski, Marcin
Karsznia, Krzysztof
Karszania, Izabela
Chormański, Jarosław
Powiązania:
https://bibliotekanauki.pl/articles/2108289.pdf
Data publikacji:
2018-01-04
Wydawca:
Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
Tematy:
Protected areas
Morphology
Wetlands
Słowiński National Park
Remote Sensing
Opis:
The main objective of this study is to evaluate the changes in the hydrographic network of Słowiński National Park. The authors analysed the changes occurring in the drainage network due to limited maintenance in this legally protected natural area. To accomplish this task, elaborations prepared on the basis of aerial photographs were used: an orthophoto map from 1996, hyperspectral imaging from June 2015, and a digital terrain model based on airborne laser scanning (ALS) from June 2015. These spatial data resources enabled the digitisation of the water courses for which selected hydro-morphological features had been defined. As a result of analysing the differences of these features, a quality map was elaborated which was then subjected to interpretation, and the identified changes were quantified in detail.
Źródło:
Miscellanea Geographica. Regional Studies on Development; 2017, 21, 4; 197-204
0867-6046
2084-6118
Pojawia się w:
Miscellanea Geographica. Regional Studies on Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Free water table area monitoring on wetlands using satellite and UAV orthophotomaps - Kampinos National Park case study
Autorzy:
Góraj, Maciej
Wróblewski, Cezary
Ciężkowski, Wojciech
Jóźwiak, Jacek
Chormański, Jarosław
Powiązania:
https://bibliotekanauki.pl/articles/1203882.pdf
Data publikacji:
2019
Wydawca:
Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
Tematy:
UAV
Sentinel-2
machine learning
surface water
inundation
wetlands
Opis:
The surface water table level is a crucial factor for the existence of wetland habitats, and valuable from the point of view of environmental protection. In particular, surface water table in a hydrological year play an important role, affecting the seasonal changes in conditions of the development of species inhabiting a given patch of vegetation. The occurrence of floods often determines the possibility of survival of a given plant community. Information on the seasonal variability of surface waters, and above all the range of seasonal floods, is very important from the point of view of planning protection activities in National Parks in order to preserve wetland habitats. Nowadays, remote sensing data is an important source of spatial information, particularly those characterized by low cost data acquisition and processing. One such source is imagery collected from satellites, along with products freely distributed by the European Space Agency. Satellites of the Sentinel constellation provide multi-spectral optical remote sensing images recorded at visible and infrared wavelengths. Due to the short satellite revisit time of the Sentinel, the images from this satellite constitute a potential source of information for the monitoring of moisture on wetlands with a high temporal resolution. In this study, the authors aim to demonstrate the possibilities associated with the use of satellite images to monitor the range of a free surface water table in the pilot area located within the basin of the Łasica Channel, located in the Kampinos National Park (Poland). The accuracy of the results of the remote sensing transformations will be assessed using high resolution RGB images obtained with the use of unmanned aerial vehicles (UAV) and control points measurements. The maps of free water table has been acquired as an result of ensemble regressors (Random Forest, Extra Trees, Bagging). Regressors has been learned and applied for two sessions. Promising results were obtained indicating the possibility of using the proposed method on a similar scale.
Źródło:
Meteorology Hydrology and Water Management. Research and Operational Applications; 2019, 7, 1; 23-30
2299-3835
2353-5652
Pojawia się w:
Meteorology Hydrology and Water Management. Research and Operational Applications
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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