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Mapping tree species is essential for sustainable planning as well as to improve our understanding of the role of different trees as different ecological service. However, crown-level tree species aut...
Forest is a very important ecosystem and natural resource for living things. Based on forest inventories, government is able to make decisions to converse, improve and manage forests in a sustainable ...
Unmanned airborne systems (UAS) based remote sensing offers flexible tool for environmental monitoring. Novel lightweight Fabry-Perot interferometer (FPI) based, frame format, hyperspectral imaging in...
In forest inventories, the species information is crucial for economical, ecological and technical reasons. Species recognition is currently a bottleneck in practical remote sensing applications. He...
Forest type maps play a significant role in sustainable forest management. For many years aerial photos and satellite data were a primary data source supporting forest type mapping. Recent development...
This study presents a methodology for derivation of fractional canopy cover, detection of main tree species, and extraction of forest stands using logistic regression, airborne remote sensing data and...
High-resolution datasets from Airborne Laser Scanning (ALS) provide information to extract the outline of single tree crowns. Laser echoes with spatial coordinates inside these single-tree crowns give...
Tree species mapping in tropical forests provides valuable insights for forest managers. Keystone species can be located for collection of seeds for forest restoration, reducing fieldwork costs. Howev...
The paper describes an approach to tree species classification based on features that are derived by a waveform decomposition of full waveform LIDAR data. Firstly, 3D points and their attributes are e...
In the present study CARTOSAT-1 data has been evaluated for retrieval of biophysical parameters like tree height, crown diameter, canopy density and canopy gap, which are critical variables for estim...
The paper describes an approach to tree species classification based on features that are derived by a waveform decomposition of full waveform LIDAR data. Firstly, 3D points and their attributes are e...
Increasing demands on the level of accuracy, repeatability and cost are being made on large scale forest inventories during last years. The amount of terrestrial field work can be efficiently reduced ...
A set of ERS SAR and optical MODIS-images were classified to land cover and tree species classes. Different methods for pixel and decision based data fusion were tested. Classifications of featurese...
Tree species proportions of forest stands were estimated using data measured by Toposys laser scanner. Employed estimation method was multilayer perceptron neural network with error back-propagation ...
The use of aerial imagery acquired by Unmanned Aerial Vehicles (UAVs) is scheduled within the FoGLIE project (Fruition of Goods Landscape in Interactive Environment): it starts from the need to enhanc...

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