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Visar resultat 1 - 5 av 38 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Reliable Detection of Water Areas in Multispectral Drone Imagery : A faster region-based CNN model for accurately identifying the location of small-scale standing water bodies

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Shengyao Shangguan; [2023]
    Nyckelord :Water Detection; Faster region-based convolutional neural networks; Multiple images; Convolutional neural networks; Random Forest; Vattendetektering; Snabbare regionbaserade konvolutionella neurala nätverk; Flera bilder; Konvolutionella neurala nätverk; Random Forest;

    Sammanfattning : Dengue and Zika are two arboviral viruses that affect a significant portion of the world population. The principal vector species of both viruses are Aedes aegypti and Aedes albopictus mosquitoes. They breed in very slow flowing or standing pools of water. LÄS MER

  3. 2. Simulating distributed PV electricity generation on a municipal level : Validating a model for simulating PV electricity generation and implementing it for estimating the aggregated PV generation in Knivsta Municipality

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Byggteknik och byggd miljö

    Författare :Lisa Molin; Sara Ericson; [2023]
    Nyckelord :photovoltaic generation model; model validation; artificial intelligence; machine learning; convolutional neural network; LIDAR;

    Sammanfattning :   The deployment of distributed photovoltaic (PV) is accelerating worldwide. Understanding when and where PV systems will generate electricity is valuable as it affects the power balance in the grids. One way of obtaining this information is simulating the PV power production of systems detected in Remotely Sensed Data (RSD). LÄS MER

  4. 3. Inventering av skred genom jämförelse av två generationer LiDAR-genererad höjddata

    Kandidat-uppsats, Stockholms universitet/Institutionen för naturgeografi

    Författare :Klara Alm; [2023]
    Nyckelord :Landslides; LiDAR; multi-temporal; DoD; visual observation;

    Sammanfattning : Landslides are a natural hazard that is expected to increase in the future, due to climate change. In order to keep risk management plans up to date, an efficient inventory method is needed. LÄS MER

  5. 4. Glacier front variatons in Sweden: 2015-2022

    Master-uppsats, Stockholms universitet/Institutionen för naturgeografi

    Författare :Martin Houssais; [2023]
    Nyckelord :Swedish glaciers; Glacier front variation; Remote sensing; MaQiT; Sentinel-2; Handheld GNSS; UAV photogrammetry; Total station;

    Sammanfattning : This study aims at increasing the amount of data available on recent past Swedish glacier front variations, at improving the knowledge on the present behavior of these glaciers, and at contributing to the defnition of the guideline for future of glacier front observations in Sweden. To do so, the study proposes Sentinel-2 based yearly front variation measurements for 22 Swedish glaciers between 2015 and 2022, calculated based on the multicentreline approach of the MaQiT tool. LÄS MER

  7. 5. Compression of Large-Scale Aerial Imagery : Exploring Set Redundancy Methods

    Uppsats för yrkesexamina på grundnivå, Högskolan i Gävle/Datavetenskap

    Författare :Solvej Lüdeking; [2023]
    Nyckelord :Set redundancy; image compression; aerial imagery;

    Sammanfattning : Compression of data has been historically always important; more data is gettingproduced and therefore has to be stored. While hardware technology advances,compression should be a must to reduce storage occupied and to keep the data intransmission as small as possible. LÄS MER