Essays about: "GIS algorithms"

Showing result 1 - 5 of 28 essays containing the words GIS algorithms.

  1. 1. Evaluation of SLAM based mobile laser scanning and terrestrial laser scanning in the Kiruna mine : A comparison between the Emesent Hovermap HF1 mobile laser scanner and the Faro Laser Scanner Focus3D X 330 terrestrial laser scanner

    University essay from Högskolan i Gävle/Samhällsbyggnad

    Author : Claes Gustafsson; [2023]
    Keywords : Terrestrial laser scanning; mobile laser scanning; simultaneous localization and mapping; underground mapping; Kiruna mine.;

    Abstract : The mining industry has over the last few decades seen a drastic increase in the usage of laser scanning technologies as a way of creating 3D maps of the mines being exploited. Underground mapping in places such as mines has become more prevalent as the technology has progressed and made it easier to generate highly detailed point clouds faster. READ MORE

  3. 2. Multi-scale Bark Beetle Predictions Using Machine Learning

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Albert Øhrman Wellendorf; [2023]
    Keywords : Geography; GIS; Geographically weighted regression; bark beetle; machine learning; Earth and Environmental Sciences;

    Abstract : Bark beetle attacks have led to widespread tree disturbance and deaths in many parts of the world, and thereby also economic and biodiversity losses. Forest-rich Sweden has experienced periodic attacks, latest in 2018. READ MORE

  4. 3. Exploratory Assessment of Machine Learning, Geospatial Methods, and Data Evaluation Techniques for Modelling Cooking Fuels in Colombia

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Federico Naranjo Hernandez; [2023]
    Keywords : ;

    Abstract : This thesis evaluates the application of machine learning and Geographic Information System (GIS) methods to analyze Colombia's cooking fuels landscape. The study aims to identify socio-economic and geographical factors affecting cooking fuel choices and assess the predictive power of various machine learning algorithms using associative data. READ MORE

  5. 4. ALS (Airborne Lidar) accuracy: Can potential low data quality of Lidar ground points be modelled/detected based on recorded point cloud characteristics? Case study of 2016 Lidar capture over Auckland, New Zealand

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Gabriela Olekszyk; [2022]
    Keywords : Geography; GIS; Lidar; ALS; Point cloud; Accuracy; Quality; Technology and Engineering;

    Abstract : Gabriela Olekszyk ALS (Airborne Lidar) accuracy: Can potential low data quality of Lidar ground points be modelled/detected based on recorded point cloud characteristics? Case study of 2016 Lidar capture over Auckland, New Zealand. Lidar (Light Detection and Ranging) data is becoming more widely available and accessible. READ MORE

  6. 5. A supervised learning approach for transport mode detection using GPS tracking data

    University essay from Högskolan Dalarna/Institutionen för information och teknik

    Author : Stepan Ivanov; Stefanos Sakellariou; [2022]
    Keywords : Transport mode detection; GPS data; Machine learning; Supervised learning; Segmentation; Random forest;

    Abstract : The fast development in telecommunication is producing a huge amount of data related to how people move and behave over time. Nowadays, travel data are mainly collected through Global Positioning Systems (GPS) and can be used to identify human mobility patterns and travel behaviors. READ MORE