Avancerad sökning

Visar resultat 1 - 5 av 6 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Impact of Sea Surface Temperature and Salinity on Phytoplankton blooms phenology in the North Sea

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Krystyna Muszel; [2023]
    Nyckelord :Geography; GIS; North Sea; phytoplankton; bloom; phenology; remote sensing; TIMESAT software; Earth and Environmental Sciences;

    Sammanfattning : Various environmental forcings can affect phytoplankton blooms, resulting in changes in bloom timing and abundance, which can have many far-reaching consequences. Understanding bloom phenology is crucial to predict and counter any potential harmful changes. LÄS MER

  3. 2. Evaluation of the effect of conflict on fire and GPP in Ukraine

    Kandidat-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Lilith Kastens; [2023]
    Nyckelord :Climate Change; Armed Conflict; Fire; GPP; Remote Sensing; Russia-Ukraine War; Earth and Environmental Sciences;

    Sammanfattning : The war in Ukraine in 2022 has caused environmental damages on different scales which come with their own challenges. One of the factors that can cause environmental damage is vegetation fire. LÄS MER

  4. 3. Molns inverkan på satellitdetektion av vegetationsbränder i Sverige

    Master-uppsats, Uppsala universitet/Luft-, vatten- och landskapslära

    Författare :Marcus Letalick; [2022]
    Nyckelord :clouds; satellite detection; VIIRS; active fires; forest fire; grass fire; FRP; NOAA-20; Suomi-NPP; JPSS; moln; satellitdetektion; VIIRS; skogsbrand; gräsbrand; vegetationsbrand; FRP; NOAA-20; Suomi-NPP; JPSS;

    Sammanfattning : Results are presented from the 2021 test run of active fire detection using the Visual Infrared Imaging Radiometer Suite (VIIRS) instrument, that is currently onboard the polar satellites Suomi-NPP and NOAA-20. The test is performed by the Swedish Civil Contingencies Agency and the Swedish Meteorological and Hydrological Institute, in cooperation with local fire departments in Sweden. LÄS MER

  5. 4. Towards the Use of Satellite Data in Security Policy-Related Prediction

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktion

    Författare :Mary Chrishani Jayaweera; [2021]
    Nyckelord :satellite imagery; earth observation; remote sensing; nighttime lights; conflict prediction; time series; intercalibration; big data; cloud computing; machine learning;

    Sammanfattning : Inadequate economic data makes it more difficult for its incorporation in security-policy related prediction and there is a need for alternative datasets. Satellite data, more specifically nighttime lights data, can be used as a proxy for the economy. LÄS MER

  7. 5. Wildfire Hazard Mapping using GIS-MCDA and Frequency Ratio Models : A Case Study in Eight Counties of Norway

    Master-uppsats, Högskolan i Gävle/Avdelningen för datavetenskap och samhällsbyggnad

    Författare :Walelegn Mengist Zeleke; [2019]
    Nyckelord :Wildfire; GIS; MCDA; Frequency Ratio; Hazard Map; Constraint Criteria; Factor Criteria; AUC;

    Sammanfattning : Abstract A wildfire is an uncontrollable fire in an area of combustible fuel that occurs in the wild or countryside area. Wildfires are becoming a deadly and frequent event in Europe due to extreme weather conditions. In 2018, wildfires profoundly affected Sweden, Finland, and Norway, which were not big news before. LÄS MER