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Democratic Republic of the Congo Tropical Forest Canopy Height and Aboveground Biomass Estimation with Landsat-8 Operational Land Imager (OLI) and Airborne LiDAR Data: The Effect of Seasonal Landsat Image Selection
Airborne LiDAR Landsat-8 tropical forest canopy height aboveground biomass Congo Basin Forest
2023/12/19
Inventories of tropical forest aboveground biomass (AGB) are often imprecise and sparse. Increasingly,?airborne?Light Detection And Ranging (LiDAR) and satellite optical wavelength sensor data are use...
Influence of Drone Altitude, Image Overlap, and Optical Sensor Resolution on Multi-View Reconstruction of Forest Images
UAV drone-based remote sensing geometric image resolution multi-view reconstruction reconstruction efficiency reconstruction quality structure from motion precision forestry
2024/2/4
Recent technical advances in drones make them increasingly relevant and important tools for forest measurements. However, information on how to optimally set flight parameters and choose sensor resolu...
Comparison of output results from two programmes for hemispherical image analysis: Gap Light Analyser and WinScanopy
analyses Gap Light Analyser hemispherical photography light WinScanopy
2015/3/19
We compare the results of the analysis of hemispherical images (of a broadleaved and a coniferous forest) obtained using the Gap Light Analyser (GLA) software and the results obtained by analyzing the...
Application of image analysis in plant pathology and forest protection
image analysis methods plant pathology
2015/3/3
By means of computer-based image analysis it was possible to accelerate and automate a number of
originally time-consuming activities in plant pathology and forest protection. In 1997–2005, image an...