Remote Sens. 2009, 1(4), 1380-1394; doi:10.3390/rs1041380
Article

Leaf Area Index (LAI) Estimation of Boreal Forest Using Wide Optics Airborne Winter Photos

1 Finnish Meteorological Institute, P.O. Box 503, FI-00101, Helsinki, Finland 2 Faculty of Forest Sciences, P.O. Box 111, University of Joensuu, FI-80101, Joensuu, Finland 3 Suonenjoki Research Unit, Finnish Forest Research Institute (Metla), Juntintie 154, FI-77600, Finland 4 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
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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.

AMA 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 Sensing. 2009; 1(4):1380-1394.

Chicago/Turabian Style

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.

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