Essays about: "tree bark classification"

Showing result 1 - 5 of 7 essays containing the words tree bark classification.

  1. 1. Exploring patterns in risk factors for bark beetle attack during outbreaks triggered by drought stress with harvester data on attacked trees: A case study in Southeastern Sweden

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Nikolaos Kouskoulis; [2023]
    Keywords : Geography; GIS; Geographic Information Science; Forest ecosystems; Bark beetle outbreak; Southeastern Sweden; Predisposing factors; Triggering factors; Drought stress; Earth and Environmental Sciences;

    Abstract : ABSTRACT Raising temperatures and climate variability have intensified extreme weather events worldwide. These extremes can enhance and trigger possible pest outbreaks. Bark beetle attacks have become a major concern in regions with extensive spruce forest areas. Southeastern Sweden has faced repeated outbreaks resulting in widespread tree loss. READ MORE

  3. 2. Relationen mellan ståndortsindex, markfuktighetsklass och granbarkborreangrepp i Uppsala och Västmanland

    University essay from SLU/School for Forest Management

    Author : Anton Pettersson; Mattias Nilsson; [2022]
    Keywords : bonitet; Ips Typographus; trädslagsval;

    Abstract : De senaste tre åren har i genomsnitt 25 procent av den magra marken planterats med gran i Sverige. Gran växer bäst på bördiga marker med god markfuktighet. Trenden har lett till att Skogsstyrelsen meddelat ett stopp för föryngring av gran på tallmark fr.o. READ MORE

  4. 3. 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

  5. 4. Detecting bark beetle damage with Sentinel-2 multi-temporal data in Sweden

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Shuo Yang; [2019]
    Keywords : Physical Geography and Ecosystem Analysis; Remote Sensing; Bark Beetle; Insect Detection; Sentinel-2; Forest Health; Maximum Likelihood; Random Forest; Spectral Signature; Vegetation Indices; Earth and Environmental Sciences;

    Abstract : The European spruce bark beetle is considered as one of the most destructive forest insects to Norway spruce trees in Europe. Climate change may increase the frequency and intensity of bark beetle outbreaks. It is therefore of vital importance to detect the bark beetle outbreaks and take it under control to prevent further damages. READ MORE

  6. 5. Photometric Methods for Autonomous Tree Species Classification and NIR Quality Inspection

    University essay from KTH/Maskinkonstruktion (Inst.)

    Author : Inna Valieva; [2015]
    Keywords : RGB imaging; NIR imaging; Artificial Neural Networks; Tree species classification; Gray Level Co-occurrence Matrix; Maximally Stable Extremal Regions;

    Abstract : In this paper the brief overview of methods available for individual tree stems quality evaluation and tree species classification has been performed. The use of Near Infrared photometry based on conifer’s canopy reflectance measurement in near infrared range of spectrum has been evaluated for the use in autonomous forest harvesting. READ MORE