Airborne Laser Scanning (ALS)
Predicting the provisioning potential of forest ecosystem services using airborne laser scanning data and forest resource maps
... on Airborne Laser Scanning (ALS) data explained the variation in proxies of the suitability of forest plots for maintaining biodiversity, producing timber, storing carbon, or providing recreational ...
19
Airborne laser scanning of natural forests in New Zealand reveals the influences of wind on forest carbon
... particular, Airborne Laser Scanning (ALS, also known as light detection and rang- ing or LiDAR) is now routinely used for mapping forests ...high-frequency laser pulses are emitted downwards ...
14
Evaluation of airborne laser scanning data for tree parameters and terrain modelling in forest environment
... of airborne laser scanning (ALS) data utilization in forestry, especially for the purposes of terrain modelling and for forest inventory (determination of forest height, diameter breast height and ...
9
Accuracy Assessment of Digital Terrain Models of Lowland Pedunculate Oak Forests Derived from Airborne Laser Scanning and Photogrammetry
... using airborne digi- tal photogrammetry or airborne laser scanning (ALS) technology (Höhle and Höhle ...the laser beam can penetrate through the forest canopy and reach the ground, ALS ...
12
Tree density and forest productivity in a heterogeneous alpine environment: insights from airborne laser scanning and imaging spectroscopy
... combining airborne laser scanning (ALS) and imaging spectroscopy (IS) to quantify and assess patterns of tree density (TD) and forest productivity (FP) in a protected heterogeneous alpine forest in ...
22
Single-Sensor Solution to Tree Species Classification Using Multispectral Airborne Laser Scanning
... Abstract: This paper investigated the potential of multispectral airborne laser scanning (ALS) data for individual tree detection and tree species classification. The aim was to develop a ...
16
Optimal structural and spectral features for tree species classification using combined airborne laser scanning and hyperspectral data
... Abstract: In this paper, the performance of feature selection in tree species classification based on multi source earth observation data was studied. We applied a sequential forward floating feature selection on imaging ...
5
ELABORATION OF THE 3D MODEL AND SURVEY OF THE POWER LINES USING DATA FROM AIRBORNE LASER SCANNING
... were made available within the framework of orders placed by 1366 unique users. With every year of availability of data from the project ISOK in PZGIK increases the number of orders for them executed by the Central ...
10
Estimating aboveground carbon density and its uncertainty in Borneo’s structurally complex tropical forests using airborne laser scanning
... carbon. Airborne laser scanning (ALS) is a remote sensing technol- ogy that allows forest structural properties to be captured in great detail across vast geographic ...
20
Fusion of airborne laser scanning and hyperspectral data for predicting forest characteristics at different spatial scales
... and airborne laser scanning (ALS) to spaceborne or airborne multispectral or hyperspectral sensors, ...and airborne hyperspectral ...
134
Tree-centric mapping of forest carbon density from airborne laser scanning and hyperspectral data
... Airborne laser scanning data were acquired on 7 – 9 September 2012, using a Riegl LMS-Q680i sensor (RIEGL Laser Measurement Systems GmbH, Horn, ...
10
Using Leaf-Off and Leaf-On Multispectral Airborne Laser Scanning Data to Characterize Seedling Stands
... multispectral airborne laser scanning (mALS) systems providing dense point clouds coupled with multispectral intensity data theoretically offer advantages for the characterization of seedling ...
20
Prediction of species-specific volume using different inventory approaches by fusing airborne laser scanning and hyperspectral data
... fused airborne laser scanning (ALS) data and hyperspectral images were used to model and predict the total and species-specific volumes based on three forest inventory approaches, namely the ...
19
Estimating Vertical Distribution of Vegetation Cover in Temperate Heterogeneous Forests Using Airborne Laser Scanning Data
... small-footprint airborne laser scanning (ALS) to estimate vegetation coverage in four stratum ranges in a warm temperate forest in Japan: >12 m, 8 - 12 m, 4 - 8 m, and 0 - 4 m in ...
8
Mapping tree canopies in urban environments using airborne laser scanning (ALS): a Vancouver case study
... Airborne laser scanning (ALS), also known as light detection and ranging (LiDAR), offers a means to dir- ectly measure the three-dimensional structure of vegeta- ...
9
Estimation of forest structure metrics relevant to hydrologic modelling using coordinate transformation of airborne laser scanning data
... contrast, airborne laser scanning (ALS) is a remote- sensing technique increasingly used to acquire detailed in- formation on the spatial structure of forest canopies over large, continuous ...
18
Detecting European Aspen (Populus tremula L.) in Boreal Forests Using Airborne Hyperspectral and Airborne Laser Scanning Data
... Abstract: Sustainable forest management increasingly highlights the maintenance of biological diversity and requires up-to-date information on the occurrence and distribution of key ecological features in forest ...
27
ANALYSING AND MODELLING TERRAIN SURFACE CHANGES USING AIRBORNE LASER SCANNING DATA
... multi-temporal Airborne Laser Scanning (ALS) data sets in providing different and reliable digital elevation models of differences, used in detecting terrain surface ...
9
Utilizing Airborne Laser Scanning Technology in Predicting Bearing Capacity of Peatland Forest
... Airborne laser scanning (ALS) data has been shown to provide reliable estimates on growing stock. Hence, ALS-based forest inventories are gradually re- placing field inventories in many countries. ...
9
Estimating and mapping forest structure diversity using airborne laser scanning data
... using airborne laser scanning (ALS) metrics [22,23,24,25,26] and features three innovative components: (i) use of the multivariate, non-parametric k- Nearest Neighbors technique (k-NN) to predict ...
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