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Improved Performance of new Earth-Observing Satellites for Monitoring Water Quality in Small Inland Water Bodies
Autoři: Brunclík Tomáš | Danquah Kwasi Asare Baffour
Rok: 2015
Druh publikace: ostatní - přednáška nebo poster
Strana od-do: nestránkováno
Tituly:
Jazyk Název Abstrakt Klíčová slova
eng Improved Performance of new Earth-Observing Satellites for Monitoring Water Quality in Small Inland Water Bodies This article deals with image noise, revisit cycle, spatial and radiometric resolution of Earth-observing satellites and influence of these imagery properties on water quality (WQ) monitoring using modeling and retrieval of WQ parameters from satellite imagery. The work is focused on comparison of Landsat 7 ETM+ and the new Landsat 8 OLI sensors performance, with properties of the future Sentinel-2 MSI in mind. The project is carried on in the region near town Pardubice, Czech Republic. The water bodies studied are fishponds and lakes created by sand mining, most of them are used for swimming and fishing. Small size of these water bodies (10-90 ha) makes spatial resolution of Landsat satellites a limiting factor. Atmospherically corrected Landsat images available via USGS EarthExplorer were used. Signal to noise ratios (SNR) example values (computed considering the water area only signal levels in the area of interest) were found to be approximately 7-24 in blue band and only 4-27 in red band for atmospherically corrected Landsat 7 ETM+ images. In comparison, pushbroom sensor OLI of Landsat 8 produced images with SNR 23-26 in blue band and 24-45 in red band. It was also found, that the provisional Landsat 8 surface reflectance data products available from USGS contain square artifacts of 10x10 pixels in water areas. After removal of these artifacts the local SNR values would increase slightly further. Furthermore, the revisit cycle of 16 days (average 8 in the region of satellite path overlap) of Landsat satellites in combination with weather changes brings relatively high risk of missing clear-sky weather conditions, resulting in substantial periods of time, when satellite monitoring of WQ parameters would not be possible. In this regard, the 10 meters spatial and 12 bit radiometric resolution together with 5/10 day revisit time and expected low noise thanks to pushbroom sensor of Sentinel-2 would be important improvement for inland water quality monitoring. Remote sensing; Satellites; Monitoring; Water quality; Inland; Water bodies; Signal to noise ratio