Forest Delineation Based on Airborne LIDAR Data
نویسندگان
چکیده
منابع مشابه
Forest Delineation Based on Airborne LIDAR Data
The delineation of forested areas is a critical task, because the resulting maps are a fundamental input for a broad field of applications and users. Different national and international forest definitions are available for manual or automatic delineation, but unfortunately most definitions lack precise geometrical descriptions for the different criteria. A mandatory criterion in forest definit...
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Forest boundary is one of the important parameters in Swiss National Forest Inventory (NFI). It is mainly delineated by aerial photo interpretation according to the defined “Forest/Non-forest decision” rules at each sample plot. However, it is not suitable for local assessment of forest stands with such kind of coarse grid sampling design. This paper presents an approach intending to delineate ...
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Building up forest inventories for performing forest management is currently done manually through field cruises and interpretation of the aerial imagery, which is a labor-intensive task. Airborne lidar technology is capable of building a point cloud off the top surface of the ground objects. Modeling urban areas from the lidar has been successfully accomplished. However, for forest modeling, t...
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Small Footprint LiDAR (Light Detection And Ranging) has been proposed as an effective tool for measuring detailed biophysical characteristics of forests over broad spatial scales. However, by itself LiDAR yields only a sample of the true 3D structure of a forest. In order to extract useful forestry relevant information, this data must be interpreted using mathematical models and computer algori...
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The paper investigated the effectiveness of point pattern methods in the application of forest species classification using airborne LiDAR data. The forest stands and individual trees in our study area were classified as either shade tolerant or intolerant species. The purpose of adopting the point pattern methods is to develop new features to effectively characterize the pattern of internal fo...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2012
ISSN: 2072-4292
DOI: 10.3390/rs4030762