Leaf Area Index (LAI) Estimation of Boreal Forest Using Wide Optics Airborne Winter Photos
نویسندگان
چکیده
منابع مشابه
Leaf Area Index (LAI) Estimation of Boreal Forest Using Wide Optics Airborne Winter Photos
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 R value of...
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The boreal zone land cover has a very significant influence on the northern hemisphere albedo and is an important component of the northern hemisphere carbon budget [1, 2] and is sensitive to changes in local and global climate [3]. Forest transition zones react to changes in mean temperature and moisture conditions in the long term [4] whereas changes in, for example, forest leaf area index (L...
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Leaf Area Index (LAI) is an important input variable for forest ecosystem modeling as it is a factor in predicting productivity and biomass, two key aspects of forest health. Current in situ methods of determining LAI are sometimes destructive and generally very time consuming. Other LAI derivation methods, mainly satellite-based in nature, do not provide sufficient spatial resolution or the pr...
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Light canopy transmittance and the Beer-Lambert equation were utilized to assess monthly leaf area index (LAI) of a tropical deciduous forest ecosystem on the west coast of Mexico. The light transmittance coefficient (k) was obtained by analyzing vertical leaf and light distribution in the forest canopy. An independent LAI estimate was obtained using litterfall data. The calculated k value was ...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2009
ISSN: 2072-4292
DOI: 10.3390/rs1041380