Application of satellite imagery and GIS tools for land surface temperature estimation and verification

• Autorzy: Chybicki A. , Łubniewski Z. , Niedzielko J. , Ruciński D.
• Języki publikacji: EN

Abstrakty

EN

Land surface temperature (LST) plays an important role in many land-surface processes on regional as well on global scales. It is also a good indicator of energy flux phenomena and is used as a parameter in various Earth observation related studies. However, LST estimation based on processing and utilisation of satellite derived data constitutes several problems in terms of time limitations, accessibility, atmospheric influence etc. The aim of the study was to verify and compare the algorithms especially in the context of minimalisation of errors in LST estimation by satellite observation using various means of GIS data processing and integration. Also, the indirect verification of the LST estimation methods, based on the utilisation of statistics and dependencies of LST, NDVI and air temperature values has been presented and discussed. The presented work has the form of a case study, and due to limited amount of verification data used in the current stage of the investigation, the results should be treated as preliminary. The developed GIS solution for integrating spatial data from many sources needed in the course of this study is also presented.

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 2013
• Tom: Vol. 16
• Strony: 19--28
• Opis fizyczny: Bibliogr. 9 poz., rys., tab.

Twórcy

autor

Chybicki A.

• Gdansk University of Technology, Department of Geoinformatics, Narutowicza 11/12, 80-233 Gdansk, Poland

autor

Łubniewski Z.

• Gdansk University of Technology, Department of Geoinformatics, Narutowicza 11/12, 80-233 Gdansk, Poland

autor

Niedzielko J.

• WASAT Sp. z o.o., Zurawia 22, 00-515 Warszawa, Poland

autor

Ruciński D.

• WASAT Sp. z o.o., Zurawia 22, 00-515 Warszawa, Poland

Bibliografia

• [1] P. Dash, Land Surface Temperature and Emissivity Retrieval from Satellite Measurements, Institut fur Meteorologie und Klimaforshung, 2005.
• [2] E. P. McClain, W. G. Pichel, C. C. Walton, Comparative performance of AVHRR-based multichannel sea surface temperatures, J. Geophys. Res., 90 (1985), pp. 11 587– 11 601.
• [3] J. A. Sobrino, M. Gomez, J. C. Jimenez-Munoz, A. Olioso, Application of simple algorithm to estimate daily evapotranspiration from NOAA-AVHRR images for Iberian Peninsula, Remote Sensing of Environment 110 (2007), pp. 139-148.
• [4] Z. Wan, J. Dozzier, A generalized Split-Window Algorithm for Retreiving Land Surface Temperature from Space, IEEE Transactions on Geoscience and Remote Sensing, 34(4) (1996).
• [5] Y. Julien, J. A. Sobrino, C. Mattar, A. B. Ruescas, J. C. Jimenes-Munoz, G. Soria, V. Hidalgo, M. Atitat, B. Franch, J. Cuenca, Temporal analysis of normalized difference vegetation index and land surface temperature (LST) parameters to detect changes in Iberian land cover between 1981 and 2001, International Journal of Remote Sensing, 32(7) (2011), pp. 2057-2068.
• [6] J. Michalakes, J. Dudhia, D. Gill, T. Henderso, J. Klemp, W. Skamrock, W. Wang, G. Mozdzynski (ed.), The Weather Research and Forecast Model: Software Architecture and Performance, Proceedings of the 11th ECMWF Workshop on the Use of High Performance Computing in Meteorology, 25-29 October 2004, U.K.
• [7] A. Chybicki, Z. Łubniewski, Ł. Kamiński, K. Bruniecki, Ł. Markiewicz,, 2011, Numerical Weather Prediction – data fusion to GIS systems and potential applications, GIS Odyssey, 2011.
• [8] J. P. Riddering, L. P. Queen, Estimating near-surface air temperature with NOAA AVHRR, Canadian Journal of Remote Sensing, 32(1) (2006), pp. 33-43.
• [9] G. Petropoulos, T. N. Carlson, M. J Wooster, S. Islam, A review of Ts/VI remote sensing based methods for the retrieval of land surface energy fluxes and soil surface moisture, Progress in Physical Geography, 33(2) (2009), pp. 224-250.