Sökning: "satellitbilder"

Visar resultat 1 - 5 av 77 uppsatser innehållade ordet satellitbilder.

  1. 1. Changes in Gishwati-Mukura Forest and effects on biodiversity, floods, and landslides - recommendations for sustainable forest management

    Master-uppsats, Lunds universitet/Avdelningen för Teknisk vattenresurslära

    Författare :Elisabeth Claesson; [2023]
    Nyckelord :Rwanda; Gishwati-Mukura; Rainforest; Natural forest cover; Deforestation; Biodiversity; Flood; Landslide; Biology and Life Sciences;

    Sammanfattning : Rainforests are of great importance for biodiversity and several ecosystem services. In Rwanda, a considerable decline in rainforest covers have been observed during the last decades. The Gishwati-Mukura Forest is one of the rainforests in Rwanda that has experienced a substantial reduction in forest cover, 99.4 %. LÄS MER

  3. 2. Characterization of Landscape Structures and Precipitation in relation to Flooding events in Pampa Deprimida : A Minor Field Study in Argentina

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Luft-, vatten- och landskapslära

    Författare :Linnea Svärd; [2023]
    Nyckelord :Pampeana hydrology; flood risk mapping; runoff; infiltration; precipitation; SCSCN; remote sensingg; Hydrologi på Pampas; kartläggning av översvämningsrisker; avrinning; infiltration; nederbörd; SCS-CN; fjärranalys; Hidrología de la Pampa Deprimida; cartografía del riesgo de inundaciones; escorrentía; infiltración; precipitación; SCS-CN; sensores remotos;

    Sammanfattning : The purpose of the thesis is to characterize flood events within the agricultural fields of flooding Pampa in Argentina. The characterization divides the flat landscape into flood prone areas and endeavour at linking driving factors to flood response based on past events. LÄS MER

  4. 3. Deep Learning for Building Damage Assessment of the 2023 Turkey Earthquakes : A comparison of two remote sensing methods

    Kandidat-uppsats, KTH/Geoinformatik

    Författare :Tobias Karlbrg; Jennifer Malmgren; [2023]
    Nyckelord :Deep learning; U-Net; Earthquake-induced building damage; VHR satellite imagery; Djup maskininlärning; U-Net; Byggnadsskador; Jordbävning; Satellitbilder;

    Sammanfattning : Current disaster response strategies are based on damage assessments carried out on the ground, which can be dangerous following a ä destructive event. Damage assessments can also be performed remotely using satellite imagery, but are usually carried out through visual interpretation, which can take a lot of time. LÄS MER

  5. 4. Hybrid Deep Learning Model for Cellular Network Traffic Prediction : Case Study using Telecom Time Series Data, Satellite Imagery, and Weather Data

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

    Författare :Ali Shibli; [2022]
    Nyckelord :Cellular network traffic; multi-modal; satellite imagery; weather data; LSTM; CNN; time series; Trafic sur les réseaux cellulaires; multimodal; imagerie satellite; données météo; LSTM; CNN; séries temporelles; Förutsägelse av mobilnätstrafik; multimodal modell; satellitbilder; väderdata; LSTM; CNN; tidsseriein;

    Sammanfattning : Cellular network traffic prediction is a critical challenge for communication providers, which is important for use cases such as traffic steering and base station resources management. Traditional prediction methods mostly rely on historical time-series data to predict traffic load, which often fail to model the real world and capture surrounding environment conditions. LÄS MER

  7. 5. Tidig detektering avgranbarkborreangrepp med hjälp avfjärranalys via Sentinel-2

    Kandidat-uppsats, Högskolan i Gävle/Datavetenskap

    Författare :Najm Eddin Eid; Petter Jakobsson; [2022]
    Nyckelord :Remote sensing; Sentinel-2; spruce bark beetle; spruce forest; vegetation analysis; vegetation index; band combinations; image analysis.; Fjärranalys; Sentinel-2; granbarkborre; granskog; vegetationsanalys; vegetationsindex; bandkombinationer; bildanalys.;

    Sammanfattning : Granbarkborre är en av Sveriges mest destruktiva skadeinsekter som angriper granskog. Insekten har medfört förödande konsekvenser för granskog, framför allt sedan2018 där stora arealer granskog nästan har eliminerats. Insekten trivs i varmt ochtorrt klimat. LÄS MER