Temat: optical sensing - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Validation of SeaWiFS and MODIS Aqua-Terra aerosol products in coastal regions of European marginal seas
Autorzy:: Melin, F.
Zibordi, G.
Carlund, T.
Holben, B.N.
Stefan, S.
Powiązania:: https://bibliotekanauki.pl/articles/49171.pdf
Data publikacji:: 2013
Wydawca:: Polska Akademia Nauk. Instytut Oceanologii PAN
Tematy:: validation
aerosol
ocean colour
European marginal sea
aerosol optical thickness
coastal area
remote sensing
optical property
aerosol robotic network
Źródło:: Oceanologia; 2013, 55, 1
0078-3234
Pojawia się w:: Oceanologia
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Patterns of relationship between PM₁₀ from air monitoring quality station and AOT data from MODIS sensor onboard of Terra satellite
Autorzy:: Suriya, Winai
Chunpang, Poramate
Laosuwan, Teerawong
Powiązania:: https://bibliotekanauki.pl/articles/35535233.pdf
Data publikacji:: 2021
Wydawca:: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:: remote sensing
MODIS sensor
PM10
aerosol optical thickness
AOT
air quality index
AQI
Opis:: Thailand, especially in the northern region, often encounters the problem of having PM10 exceeding the normal standard level, which could do harm to people’s health. Mostly, such problem is caused by the burning of forest area and open area; this is clearly seen during January–April of every year. Also, the problem as mentioned is caused by the meteorological conditions and the terrains in the northern region that make it easy for PM10 to be accumulated. The aim of this study was to analyze the patterns of relationship between PM10 measured from the ground monitoring station and AOT data received from MODIS sensor onboard of Terra satellite in Phrae Province located in the northern region of Thailand. The method performed was by analyzing the correlation between PM10 data obtained from the ground monitoring station and the AOT data received from the MODIS sensor onboard of Terra satellite during January–April 2018. It was found from the study that the change of the intensity of PM10 and AOT in the climate was highly related; it appeared that the correlation coefficient (r) in January–April was 0.92, 0.91, 0.91 and 0.92, respectively. This research pointed out that during February– –April, the areas of Phrae Province had the level of PM10 that affected health. Besides, from the method in this research, it revealed AOT data received from MODIS sensor onboard of Terra satellite could be applied in order to follow up, monitor, and notify the spatial changes of PM10 efficiently.
Źródło:: Scientific Review Engineering and Environmental Sciences; 2021, 30, 2; 236-249
1732-9353
Pojawia się w:: Scientific Review Engineering and Environmental Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: A simple model of light transmission through the atmosphere over the Baltic Sea utilising satellite data
Autorzy:: Krezel, A.
Kozlowski, L.
Paszkuta, M.
Powiązania:: https://bibliotekanauki.pl/articles/48356.pdf
Data publikacji:: 2008
Wydawca:: Polska Akademia Nauk. Instytut Oceanologii PAN
Tematy:: sea surface
Baltic Sea
solar energy
atmosphere
light transmission
satellite remote sensing
aerosol optical thickness
Opis:: A simple spectral model of solar energy input to the sea surface was extended to incorporate space-borne data. The extension involved finding a method of determining aerosol optical thickness (on the basis of AVHRR data) and the influence of cloudiness (on the basis of METEOSAT data) on the solar energy flux. The algorithm for satellite data assimilation involves the analysis of satellite images from the point of view of cloud identification and their classification with respect to light transmission. Solar energy input values measured at the Earth’s surface by traditional methods were used to calibrate and validate the model. Preliminary evaluation of the results indicates a substantial improvement in the accuracy of estimates of solar energy input to the sea surface in relation to models utilising only traditionally obtained data on the state of the atmosphere.
Źródło:: Oceanologia; 2008, 50, 2; 125-146
0078-3234
Pojawia się w:: Oceanologia
Dostawca treści:: Biblioteka Nauki

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