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

Identyfikatory

DOI

10.26491/mhwm/95086

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

UAV; Sentinel-2; machine learning; surface water; inundation; wetlands

• Wydawca: Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
• Czasopismo: Meteorology Hydrology and Water Management. Research and Operational Applications
• Rocznik: 2019
• Tom: Vol. 7, Iss. 1
• Strony: 23--30
• Opis fizyczny: Bibliogr. 31 poz., rys., tab.

Twórcy

autor

Góraj Maciej

• Warsaw University of Life Sciences, Faculty of Civil and Environmental Engineering, Nowoursynowska 159, 02-776 Warsaw, Poland

autor

Wróblewski Cezary

• Warsaw University of Life Sciences, Faculty of Civil and Environmental Engineering, Nowoursynowska 159, 02-776 Warsaw, Poland

autor

Ciężkowski Wojciech

• Warsaw University of Life Sciences, Faculty of Civil and Environmental Engineering, Nowoursynowska 159, 02-776 Warsaw, Poland

autor

Jóźwiak Jacek

• Warsaw University of Life Sciences, Faculty of Civil and Environmental Engineering, Nowoursynowska 159, 02-776 Warsaw, Poland

autor

Chormański Jarosław

• Warsaw University of Life Sciences, Faculty of Civil and Environmental Engineering, Nowoursynowska 159, 02-776 Warsaw, Poland

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).