Essays about: "tree-bark"

Found 3 essays containing the word tree-bark.

  1. 1. Elemental variability in tree-rings as indicator for climate change : a case study on beech and oak trees at the Laacher See, Germany

    University essay from Stockholms universitet/Institutionen för naturgeografi

    Author : Ann-Kathrin Wild; [2022]
    Keywords : trace elements; tree-rings; dendrochemistry; dendroclimatology; ITRAX; Laacher See; mofettes; tree-bark; Quercus sp.; Fagus sp.;

    Abstract : The aim of this study was to contribute to the comprehension of the connection of element uptake in trees at the Laacher See in Germany and climatic parameters on different time scales. Understanding the relationship of certain elements in trees and temperature might enable the assignment of extraordinary high peaks in the elemental concentration, which cannot be explained by temperature, to another process as CO2 degassing of the mofettes, which are relics of the volcanic past of the lake. READ MORE

  2. 2. Tree trunk image classifier : Image classification of trees using Collaboratory, Keras and TensorFlow

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : David Carlsson; [2020]
    Keywords : Barknet; TRUNK12; image classification; tree classification; tree bark classification; tree trunk classification;

    Abstract : In the forestry industry tree trunks are currently classified manually. The object of this thesis is to answer whether it is possible to automate this using modern computer hardware and image-classification of tree-trunks using machine learning algorithms. READ MORE

  3. 3. Tree Species ClassicationUsing Terrestrial Photogrammetry

    University essay from Institutionen för datavetenskap

    Author : Jakob Boman; [2013]
    Keywords : ;

    Abstract : This thesis investigates how texture classification can be used to automatically classify tree species from image of bark texture. The texture analysis methods evaluated in the thesis are, grey level co-occurrence matrix (GLCM), two different wavelet texture analysis methods and finally the scale-invariant feature transform. READ MORE