Leaf Area Index (LAI) Estimation in Boreal Mixedwood Forest of Ontario, Canada Using Light Detection and Ranging (LiDAR) and WorldView-2 Imagery
نویسندگان
چکیده
منابع مشابه
Leaf Area Index (LAI) Estimation in Boreal Mixedwood Forest of Ontario, Canada Using Light Detection and Ranging (LiDAR) and WorldView-2 Imagery
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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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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The leaf area index (LAI) of plant canopies is an important structural parameter that controls energy, water, and gas exchanges of plant ecosystems. Remote sensing techniques may offer an alternative for measuring and mapping forest LAI at a landscape scale. Given the characteristics of high spatial / spectral resolution of the WorldView-2 (WV2) sensor, it is of significance that the textural i...
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Light Detection and Ranging (LiDAR) has been used to extract surface information as it can acquire highly accurate object shape characteristics using geo-registered 3D-points. Therefore, LiDAR can be used to effectively measure tree parameters in forested areas. In this research, we estimated the LAI (Leaf Area Index) for Pinus koraiensis, Larix leptolepis and Quercus spp. using LiDAR data. For...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2013
ISSN: 2072-4292
DOI: 10.3390/rs5105040