Hiperspektralna metoda badania i kartowania roślinności wysokogórskiej

• Autorzy: Sobczak M.

Warianty tytułu

EN

Hyperspectral methods for high mountain vegetation analysis and mapping

• Języki publikacji: PL

Abstrakty

EN

Basing on recent studies with the use of hyperspectral data and on the results of vegetation characteristics comparison, it was assumed, that hyperspectral airborne images allow for identification and monitoring of chosen plant species in high mountain environment. Algorithms based on spectral mixture models give the possibility of describing pixel value as an aggregation of individual spectral responses. This helps in assessing percentage of each species cover in the plant community. Main aim of this study was the continuation of previous studies on identification of spectral characteristics of high mountain plant species, with the view of creating local spectral library of those species. Furthermore, a method of automatic identification and mapping of high mountain vegetation should be developed. The study involved analysis of 5 species: Luzula spadicea, Juncus trifidus, Calamagrostis villiosa, Deschampsia fl exuosa and Nardus stricta, and was conducted in Gąsienicowa Valley in Tatra National Park in Poland. For the assessment of possibilities of high mountain plant species identification and mapping, airborne hyperspectral images from DAIS 7915 scanner were used. Field measurements, used as a reference for airborne data, were taken with the use of GER 3700 and ASD FieldSpec spectrometers in 13 measurement locations. They were also used for analysis of spectral reflectance differences between the species. Identification and mapping of plant species were realized using 4 different classification methods, of which Spectral Angle Mapper (SAM) method gave the best results. The results were compared to test data for accuracy assessment.

Słowa kluczowe

PL

metody hiperspektralne; roślinność wysokogórska; kartowanie

EN

hyperspectral methods; high mountain vegetation; mapping

• Wydawca: Polskie Towarzystwo Geograficzne, Oddział Teledetekcji i Geoinformatyki
• Czasopismo: Teledetekcja Środowiska
• Rocznik: 2009
• Tom: T. 41
• Strony: 79--103
• Opis fizyczny: Bibliogr. 14 poz., rys., zdj.

Twórcy

autor

Sobczak M.

• Katedra Geoinformatyki i Teledetekcji, Uniwersytet Warszawski

Bibliografia

• 1. Bielecka E., 1986: Photointerpretation survey of changes in the range of the Tatra subalpine forests. Miscellanea Geographica, Warszawa
• 2. Bielecka E., Fedorowicz-Jackowski W., Witkowska E., 1994: An integrated geographical information system for management of the national and landscape parks, nature reserves and other protected area. GIS for environment, Kraków, 25 – 27 November 1993 (Pilot Study for the Tatra National Park, Proceedings of the IALE Conference, Warsaw, October, 1993)
• 3. Carrão H., Gonçalves P., Caetano M., 2006: Use of intra-annual satellite imagery time-series for land cover characterization purpose. Prezentacja na 26. Sympozjum EARSeL, 29 maja-02 czerwca 2006, Warszawa
• 4. Chapelle E. W., Frank M. W. Jr, Newcomb W. W., McMurtrey J. E. III, 1985, Laser-induced fluorescence of green plants. 3: LIF spectral signatures of five major plant types, Applied Optics, Vol. 24, No. 1
• 5. Jakomulska A., 1999a: Zastosowania logiki rozmytej w klasyfikacji nadzorowanej. Fotointerpretacja w Geografii. Problemy Telegeoinformacji, T.27, PTG KTŚ, Warszawa
• 6. Jakomulska A., 1999b: Zróżnicowanie wysokogórskiej roślinności Tatr w świetle badań teledetekcyjnych [maszynopis]. Praca doktorska pod kierunkiem prof. Dr hab. Jana R. Olędzkiego, wykonana w Zakładzie Teledetekcji Środowiska WGiSR UW, Warszawa
• 7. Richter R., Schläpfer D., 2002: Geo-atmospheric Processing of Airborne Imaging Spectrometry Data. Part 2: Atmospheric/Topographic Correction. International Journal of Remote Sensing, Nr 23 (13), str. 2631–2649, Londyn
• 8. RSI Inc., 2001: Envi User’s Manual.
• 9. Ryan A., 1997: The light measurement handbook. International Light Inc., Newburyport, USA
• 10. Schläpfer D., Richter R., 2002: Geo-atmospheric Processing of Airborne Imaging Spectrometry Data. Part 1: Parametric Ortho-Rectification Process. International Journal of Remote Sensing, Nr 23 (13), str. 2609–2630, Londyn
• 11. Skidmore A.K., Schmidt K.S., 1998: Mapping rangeland vegetation using hyperspectral vegetation spectra. Materiały konferencyjne z 1st EARSeL Workshop on Imaging Spectroscopy, University of Zurich, Szwajcaria, str. 285-297
• 12. StatSoft, Inc., 2004: Electronic Statistics Textbook. StatSoft, Tulsa, (dostępny na stronie: http://www.statsoft.com/textbook/stathome.html)
• 13. Zadeh L. A., 1965: Fuzzy Sets. Information and Control, 8, 338-353
• 14. Zagajewski B., Sobczak M., Wrzesień M., 2004: Badania górskich zbiorowisk roślinnych z użyciem technik hiperspektralnych. Przegląd Geofizyczny, XLIX, 3-4, Warszawa