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Visar resultat 6 - 10 av 14 uppsatser som matchar ovanstående sökkriterier.

  1. 6. Combination analysis of multispectral and radar satellite data

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Andreas Holmberg; [2021]
    Nyckelord :;

    Sammanfattning : Remote sensing technologies, such as satellite imagery, have proven to be a powerful tool for land cover classification when combined with machine learning algorithms. Depending on which type of sensor is used for the imagery, different properties of land cover classes may be distinguished. LÄS MER

  3. 7. Identification of alkaline fens using convolutional neural networks and multispectral satellite imagery

    Magister-uppsats, Luleå tekniska universitet/Datavetenskap

    Författare :John Jernberg; [2021]
    Nyckelord :Machine learning; Deep learning; Remote sensing; Data science; Satellite; Sentinel;

    Sammanfattning : The alkaline fen is a particularly valuable type of wetland with unique characteristics.Due to anthropogenic risk factors and the sensitive nature of the fens, protection is highlyprioritized with identification and mapping of current locations being important parts ofthis process. LÄS MER

  4. 8. Knowledge and Data Driven Approaches for Hydrocarbon Microseepage Characterizations: An Application of Satellite Remote Sensing

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

    Författare :Ali Al Farid; [2020]
    Nyckelord :Geography; Geographical Information Systems; Hydrocarbon Microseepage; PCA; Crosta; Band Ratio; MTMF; Weight of Evidence; SVM; Methane Fluxes; Remote Sensing; Satellite Image Classification; Earth Observation; Mineral Classifications; Machine Learning; Earth and Environmental Sciences;

    Sammanfattning : Methane is a potent greenhouse gas that plays a major role in climate change. Significant uncertainty exists in the estimates of emissions from natural methane sources. This uncertainty in data is one of the primary scientific challenges in climate model. LÄS MER

  5. 9. Assessing evolution of ice caps in Suðurland, Iceland, in years 1986 - 2014, using multispectral satellite imagery

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

    Författare :Alicja Miodonska; [2019]
    Nyckelord :remote sensing; multispectral satellite imagery; Landsat; Iceland; glaciers; ice caps; Geography; GIS; Earth and Environmental Sciences;

    Sammanfattning : The study focuses on the application of multispectral satellite imageries in glaciological studies. It aims to assess how the Icelandic glaciers have evolved over the last decades (from the 1980s to 2014). The study area covers Mýrdalsjökull and Eyjafjallajökull ice caps located in Suðurland, Iceland. LÄS MER

  7. 10. Comparison of multi-temporal and multispectral Sentinel-2 and Unmanned Aerial Vehicle imagery for crop type mapping

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

    Författare :Stephania Zabala Ramos; [2017]
    Nyckelord :classification; Random Forest; precision agriculture; UAV; remote sensing; Micasense; GEM; Earth and Environmental Sciences;

    Sammanfattning : Precision Agriculture aims to maximize crop production and the efficiency of land use to meet the increased demand for food while minimizing environmental impact and economic cost of food production. Crop type maps are needed for Precision Agriculture applications and remote sensing techniques are an efficient way to produce this information. LÄS MER