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Porównanie klasyfikacji wieloczasowych zdjęć satelitarnych MODIS

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Warianty tytułu
EN
Comparison of multi-temporal classification of MODIS satellite data
Języki publikacji
PL
Abstrakty
EN
Since the 1970’s remote sensing enable constant monitoring of land cover and land use, which are considered as the most crucial environmental data. Obtaining this information at global, regional and local scales, becomes the goal of many research and application programs and has allowed for the deeper understanding of the entire Earth system. In December 1999 NASA launched the EOS Terra Satellite, followed in 2002 by Aqua, both equipped with MODIS (Moderate Resolution Imaging Spectroradiometer). Thanks to its technical specification and free distribution of the majority of its products, MODIS is considered to be the most important sensor for the global vegetation mapping. Although has been originally designed for large-scale analysis, MODIS is also used in many regional research programs. This paper presents results of two approaches of multitemporal land cover classification of MODIS data. For the study polygon of 22100 square kilometres, situated in the western Poland, four single day surface reflectance data sets, of spatial resolution of 250m and 500m, were collected for the year 2007 – one for spring and autumn, and two for summer. In the first approach supervised land cover classification was conducted for each set of single day data separately. On the basis of obtained results, final classification was elaborated as an effect of analyse of the sequence of changes for each pixel. In second approach, independent classification was conducted for the aggregation of all possessed data. The accuracy of all classifications’ results was checked against Corine Land Cover 2000 database using 4200 randomly distributed points. Obtained statistics show that comparing with single-day classifications as well as with classification of aggregated data, multi-temporal approach based on the analysis of sequence, enabled crucial improvement of accuracy of the classification.
Rocznik
Tom
Strony
3--13
Opis fizyczny
Bibliogr. 22 poz., rys., wykr., tab.
Twórcy
  • Wydział Geografii i Studiów Regionalnych Uniwersytetu Warszawskiego
Bibliografia
  • 1. Baza Danych Ogólnogeograficznych (BDO) 1:1 000 000, grudzień 2009, Geoportal http://maps.geoportal.gov.pl
  • 2. Chavez P.S., Guptill S.C., Bowell J.A., 1984, Image Processing Techniques for Themaic Mapper Data. Proceedings, ASPRS-ACSM Technical Papers, vol. 2, s. 728–742
  • 3. DeFries R., Hansen M., Townsend J.G.R., Sohlberg R., 1998, Global land cover classification at 8 km resolution: the use of training data derived from Landsat imagery in decision tree classifiers. International Journal of Remote Sensing, 19, s. 3141–3168
  • 4. DeFries R.S., Townshend J.G.R., 1994, NDVI derived land cover classifications at a global scale. International Journal of Remote Sensing, 5 s. 3567–3586
  • 5. Doraiswamy Paul C., Stern Alan J., 2007, Crop classification in the U.S. Corn Belt using MODIS Imagery, 2007. Presentation at the International Geoscience and Remote Sensing Symposium July 19–27, Barcelona European Environment Agency, 2004: Corine Land Cover 2000 database, luty 2009, http://www.eea.europa.eu
  • 6. European Environment Agency, 2004: Corine Land Cover 2000 database, luty 2009, http://www.eea.europa.eu
  • 7. Friedl M.A., McIver D.K., Hodges J.C.F., Zhang X.Y., Muchoney D., Strahler A.H., Woodcock C.E., Gopal S., Schneider A., Cooper A., Baccini A., Gao F., Schaaf C., 2002, Global land cover mapping MODIS: algorithms and early results. Remote Sensing of Environment, 83 s. 287-302
  • 8. Geografia fizyczna Polski, 2005, redakcja naukowa: Rychling A., Ostaszewska K., Wydawnictwo Naukowe PWN, Warszawa
  • 9. Geografia Polski: Środowisko przyrodnicze, 1999, redaktor naukowy Starkel L., Wydawnictwo Naukowe PWN, Warszawa
  • 10. Guenther B., Xiong X., Salomonson V.V., Barnes W.L., Young J., 2002, On-orbit performance of the Earth Observing System Moderate Resolution Imaging Spectroradiometer; first year of data. Remote Sensing of Environment, 83, s. 16-30
  • 11. Jensen J.R., 1996, Introductory Digital Image Processing A remote Sensing Perspective. Prentice Hall, New Jersey
  • 12. Justice C.O., Townsend J.G.R., Vermote E.F., Masuoka E., Wolfe R.E., Saleous N., Roy D.P., Morisette J.E., 2002, An Overview of MODIS Land data processing and product status. Remote Sensing of Environment, 83, s. 3-15
  • 13. Lewińska K.E., 2009, Land cover classification using multitemporal MODIS satellite data. Annals of Geomatics, vol 7 no. 2 (32), s. 75-81
  • 14. Lunetta Ross S., Knight Joseph F., Ediriwickrema Jayantha, Lyon John G., Worthy L. Dorsey, 2006, Land-cover change detection using multi-temporal MODIS NDVI data, Remote Sensing of Environment, 105, s. 142-154
  • 15. Marquinez J., Woźniak E., Fernandez S., Martinem R., 2008, Analysis of the evolution of soil erosion classes using multitemporal Landsat imagery. International Journal of Wildland Fire, 17, s. 549-558
  • 16. Olędzki J.R., 2007, Regiony geograficzne Polski. Teledetekcja Środowiska, tom 38, Klub Teledetekcji Środowiska Polskiego Towarzystwa Geograficznego, Warszawa
  • 17. Savtchenko A., Ouzounov D., Ahmad S., Acker J., Leptoukh G., Koziana J., Nickless D., 2004, Terra and Aqua MODIS products available from NASA GES DAAC. Space Research, 34, s. 710-714
  • 18. The Earth Observing System: Mission Science Office, luty 2009, http://eospso.gsfc.nasa.gov/index.php
  • 19. Vermote E.F., Kotchenova S.Y., 2008, MOD09 (Surface Reflectance) User’s Guide, Version 1.1, MODIS Land Surface Reflectance Science Computing Facility
  • 20. Waser L.T., Schwarz M., 2006, Comparison of large-area cover products with national forest inventories and CORINE land cover in the European Alps. International Journal of Applied Earth Observation and Geoinformation, 8, s. 196-207
  • 21. Zhan X., Sohlberg R.A., Townshend J.R.G., DiMiceli C., Carroll M.L., Eastman J.C., Hansen M.C., DeFries R.S., 2002, Detection of land cover changes using MODIS 250 m data. Remote Sensing of Environment, 83, s. 336-350
  • 22. Zhang X., Friedl M.A., Schaaf C.B., Strahler A.H., Hodges J.C.F., Gao F., Reed B.C., Huete A., 2003, Monitoring vegetation phenology using MODIS. Remote Sensing of Environment, 84, s. 471-475
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2316b9f9-47fe-41e4-b071-86b02ce20aa4
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