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Leaf Area Index (LAI) Estimation of Boreal Forest Using Wide Optics Airborne Winter Photos
Finnish Meteorological Institute, P.O. Box 503, FI-00101, Helsinki, Finland
Faculty of Forest Sciences, P.O. Box 111, University of Joensuu, FI-80101, Joensuu, Finland
Suonenjoki Research Unit, Finnish Forest Research Institute (Metla), Juntintie 154, FI-77600, Finland
Department of Forest Resource Management, P.O.Box 27, University of Helsinki, FI-00014, Finland
* Author to whom correspondence should be addressed.
Received: 11 November 2009; in revised form: 10 December 2009 / Accepted: 14 December 2009 / Published: 22 December 2009
Abstract: A new simple airborne method based on wide optics camera is developed for leaf area index (LAI) estimation in coniferous forests. The measurements are carried out in winter, when the forest floor is completely snow covered and thus acts as a light background for the hemispherical analysis of the images. The photos are taken automatically and stored on a laptop during the flights. The R2 value of the linear regression of the airborne and ground based LAI measurements was 0.89.
Keywords: LAI; airborne; hemispherical photo
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MDPI and ACS Style
Manninen, T.; Korhonen, L.; Voipio, P.; Lahtinen, P.; Stenberg, P. Leaf Area Index (LAI) Estimation of Boreal Forest Using Wide Optics Airborne Winter Photos. Remote Sens. 2009, 1, 1380-1394.
Manninen T, Korhonen L, Voipio P, Lahtinen P, Stenberg P. Leaf Area Index (LAI) Estimation of Boreal Forest Using Wide Optics Airborne Winter Photos. Remote Sensing. 2009; 1(4):1380-1394.
Manninen, Terhikki; Korhonen, Lauri; Voipio, Pekka; Lahtinen, Panu; Stenberg, Pauline. 2009. "Leaf Area Index (LAI) Estimation of Boreal Forest Using Wide Optics Airborne Winter Photos." Remote Sens. 1, no. 4: 1380-1394.