[EN] In the last decade, full-waveform airborne laser scanning (ALSFW) has proven to be a promising tool for forestry applications. Compared to traditional discrete airborne laser scanning (ALSD), it is capable of registering ...

[EN] LiDAR full-waveform (LFW) pulse density is not homogeneous along study areas due to overlap between contiguous flight stripes and, to a lesser extent, variations in height, velocity and altitude of the platform. As a ...

[EN] This project tries to improve the land cover classification of aerial images using data mining. A comparison of some data mining techniques is done so as to classify urban and peri-urban areas, using the image ...

[EN] Crop classification based on satellite and aerial imagery is a recurrent application in remote sensing. It has been used as input for creating and updating agricultural inventories, yield prediction and land management. ...

[EN] The use of laser scanning acquired from the air, or ground, holds great potential for the assessment of forest structural attributes, beyond conventional forest inventory. The use of full-waveform airborne laser ...

[EN] Modelling fire behaviour in forest fires is based on meteorological, topographical, and vegetation data, including species¿ type. To accurately parameterise these models, an inventory of the area of analysis with the ...

[EN] Remote sensing and photogrammetry techniques have demonstrated to be an important tool for the characterization of forest ecosystems. Nonetheless, the use of these techniques requires an accurate digital terrain model ...

[ES] Esta tesis aborda el desarrollo de métodos de procesado y análisis de datos ALSFW para la caracterización de la estructura vertical del bosque y, en particular, del sotobosque. Para responder a este objetivo general, ...

This dataset contains RGB and multispectral point clouds of the Sierra Calderona Natural Park, obtained by UAV digital aerial photogrammetry.