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New method enables automatic detection of various tree species using aerial photographs

New method enables automatic detection of various tree species using aerial photographs

The SNORTEX measurement project organised by the Finnish Meteorological Institute used helicopters to manually collect extensive photo image in the Sodankylä area during the winters from 2008 to 2010. Using these high resolution images, the University of Eastern Finland and the Finnish Meteorological Institute have now been able, using a new imaging method, to automatically identify the relative quantities of the three most important tree species: pine, spruce and birch. The level of classification precision was 81.9%.

More information:

Terhikki Manninen, terhikki.manninen@fmi.fi

Terhikki Manninen, Lauri Korhonen, Pekka Voipio, Panu Lahtinen and Pauline Stenberg (2011), "Airborne estimation of boreal forest LAI in winter conditions: A test using summer and winter ground truth", IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No.1, pp- 68-74, 10.1109/TGRS.2011.2173939

http://bit.ly/28MiSff


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