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Understanding forest dynamics at the stand level is crucial for sustainable management. Landsat time series have been shown to be effective for identification of drastic changes, such as natural distu...
Tree species classification is important for a variety of environmental applications, including biodiversity monitoring, wildfire risk assessment, ecosystem services assessment, and sustainable forest...
Labeling 3D point cloud data with traditional supervised learning methods requires considerable labelled samples, the collection of which is cost and time expensive. This work focuses on adopting doma...
In the Authoritative Topographic Cartographic Information System (ATKIS®), which is the main public topographic data base in Germany, the heights and the 2D positions of objects such as roads a...
For the past dozen years, data which enable the use of Digital Terrain Model as well as Digital Surface Model have been widely used. One of the modern techniques of gaining information about terrain i...
LIDAR is an application widely open as an area of study for modelling detailed topographic maps. It is generally used in airborne applications. In this study, the aim is tree extraction from a data ha...
This paper demonstrates the use of a matching algorithm to register an ALS data set to a reference surface composed of ground points obtained using kinematic stop-and-go GPS. The matching algorithm m...
Full-waveform airborne laser scanning data has shown its potential to enhance available segmentation and classification approaches through the additional information it can provide. However, this addi...
In the last decade, airborne laser scanning (ALS) systems have become an alternative source for the acquisition of altimeter data. Compared to high resolution orthoimages, one of the main advantages ...
In the present study, the objective was to compare the accuracy of low-pulse airborne laser scanning (ALS), high-resolution noninterferometric TerraSAR-X (TSX) radar data and their combined feature s...

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