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Wyszukujesz frazę "Gawuc, L." wg kryterium: Autor


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Tytuł:
Porównanie wyników korekcji atmosferycznej danych satelitarnych CHRIS/Proba przeprowadzonych w oprogramowaniach BEAM/Visat oraz ATCOR
Intercomparison of BEAM/Visat and ATCOR atmospheric correction methods performed on CHRIS/Proba satellite data
Autorzy:
Gawuć, L.
Osińska-Skotak, K.
Powiązania:
https://bibliotekanauki.pl/articles/132317.pdf
Data publikacji:
2012
Wydawca:
Polskie Towarzystwo Geograficzne
Tematy:
korekcja atmosferyczna
ATCOR
CHRIS/PROBA
BEAM/Visat
dane superspektralne
atmospheric correction
superspectral data
Opis:
A comparison of output of two absolute atmospheric correction methods (ATCOR by R. Richter, 1996, and an algorithm by L. Guanter et al., 2005, implemented in the BEAM/Visat framework) is presented. Analyses are based on satellite data acquired by CHRIS (Compact High Resolution Imaging Spectrometer) sensor onboard the PROBA (Project for On-Board Autonomy) satellite. For comparison, a set of in situ spectral measurements obtained by the Norwegian NIVA Institute was taken as reference data. The area of study was the Vistula Lagoon in Northern Poland. All analyses presented here are based on comparison of results of atmospheric correction methods with in situ reference data. Alterations between ground and satellite spectral measurements can be caused by changes of humidity or solar zenith angle, as well as fluctuations of water masses, aerosols and air masses, all of which phenomena occur with time passage. In order to minimize the influence of this element, a set of simultaneous ground and satellite measurements was analyzed. Observations were collected on the same day, 18th August 2008. The best atmospheric correction was obtained in ATCOR with a ground model calibration, and the mean relative difference in spectral reflectance between the results obtained with this method and the reference data was 0,18%. The drawback of this method is that it requires results from in situ spectral measurements to reinforce the reflectance derivation, while such data is usually unavailable. Hence, only methods independent of ancillary data are treated as authoritative. In this case, the output of two methods – ATCOR without ground model calibration and an algorithm by L. Guanter et al., (2005) implemented in BEAM/Visat framework – were compared against the reference data. The comparison yields 2,30% and 2,10% reflectance mean difference between ATCOR, an algorithm by L. Guanter et al., (2005) and the reference data, correspondingly. This leads to conclusion that an algorithm by L. Guanter et al., (2005), provided better results in our case.
Źródło:
Teledetekcja Środowiska; 2012, 47; 33-42
1644-6380
Pojawia się w:
Teledetekcja Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of satellite observations for the evaluation of the land surface temperature from GEM model forecast
Autorzy:
Gawuc, L.
Struzewska, J.
Kaminski, J. W.
Durka, P.
Powiązania:
https://bibliotekanauki.pl/articles/115542.pdf
Data publikacji:
2014
Wydawca:
Fundacja na Rzecz Młodych Naukowców
Tematy:
MODIS
surface temperature
model evaluation
temperatura powierzchni
ocena modelu
Opis:
Application of satellite observations for the evaluation of the land surface temperature from GEM model forecastAbstract: The Global Environmental Multiscale model (GEM) was evaluated against satellite observations and measurements from synoptic stations. The computational grid was set up in the global variable mode with the resolution of ~25 km over Central Europe. Model evaluation was performed over Central Europe within a window of 43-56°N latitude and 10-25°E longitude. Surface temperature forecasts were compared with the Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature product. Air temperature measured at the height of 2 metres was obtained from about 480 synoptic stations from 13 Central Europe countries. Air temperature measurements collected at 9 UTC and 12 UTC during five days (31 January, 2 February, 3 March, 27 April and 18 June 2012) was compared with the GEM model results. Evaluation showed good agreement between modelled and observed data. In case of air temperature, the averaged value of the Mean Bias Error (MBE) was -0.42, the averaged Root Mean Square Error (RMSE) and the Mean Absolute Gross Errors (MAGE) were 3.21 and 2.32, respectively. Land surface temperature comparisons gave results of -2.01; 3.91 and 3.24 of the (MBE), (RMSE), and (MAGE), respectively. Also, correlation of derived modelling errors between surface temperature and air temperature are discussed. In each case the correlation coefficient was positive. The highest value (0.70) was obtained for periods when surface – atmosphere radiative exchange processes were dominant.
Źródło:
Challenges of Modern Technology; 2014, 5, 2; 25-32
2082-2863
2353-4419
Pojawia się w:
Challenges of Modern Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
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