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Airborne discrete-return LIDAR data in the estimation of vertical canopy cover, angular canopy closure and leaf area index
Remote sensing of forest canopy cover has been widely studied recently, but little attention has been paid to the quality of field validation data. Ecological literature has two different coverageExpand
Individual tree measurements by means of digital aerial photogrammetry
University of Helsinki, Faculty of Agriculture and Forestry, Department of Forest Resource Management
Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics
Abstract Forest inventories based on single-tree interpretation of airborne laser scanning (ALS) data often rely on an allometric estimation chain in which inaccuracies in the estimates of theExpand
Tree species classification using airborne LiDAR - effects of stand and tree parameters, downsizing of training set, intensity normalization, and sensor type
Tree species identification constitutes a bottleneck in remote sensing-based forest inventory. In passive images the differentiating features overlap and bidirectional reflectance hampers analysis.Expand
Range and AGC normalization in airborne discrete-return LiDAR intensity data for forest canopies
Abstract Recently, the intensity characteristics of discrete-return LiDAR sensors were studied for vegetation classification. We examined two normalization procedures affecting LiDAR intensityExpand
Mapping of understory lichens with airborne discrete-return LiDAR data
Abstract High backscatter reflectance at NIR wavelengths has been observed for reindeer lichens ( Cladina sp.) in the laboratory. The results suggested that lichens could be separated from soil andExpand
Airborne small-footprint discrete-return LiDAR data in the assessment of boreal mire surface patterns, vegetation, and habitats
Abstract Boreal mires encompass high diversity in species and habitats, many of which are endangered. In Finland, extensive use of peatlands has resulted in habitat fragmentation. A need for accurateExpand
Variation and directional anisotropy of reflectance at the crown scale — Implications for tree species classification in digital aerial images
Abstract Tree species classification is still solved at insufficient reliability in airborne optical data. The variation caused by directional reflectance anisotropy hampers image-based solutions. InExpand
Mapping of snow-damaged trees based on bitemporal airborne LiDAR data
The use of multitemporal LiDAR data in forest-monitoring applications has been so far largely unexplored. In this work, we aimed to develop and test a simple method for the detection of snow-inducedExpand
Appraisal of seedling stand vegetation with airborne imagery and discrete-return LiDAR : an exploratory analysis
TLDR
The potential for combined use of airborne discrete-return LiDAR and digital imagery in the classification and measurement of common seedling stand vegetation was examined in southern Finland and spatial pattern of the competing vegetation was reproduced in classification-based raster surfaces, which could be useful in deriving meaningful treatment proposals. Expand
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