Sökning: "Sentinel-2"

Visar resultat 11 - 15 av 54 uppsatser innehållade ordet Sentinel-2.

  1. 11. 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

  3. 12. Mapping Fire Salamander (Salamandra salamandra) Habitat Suitability in Baden-Württemberg with Multi-Temporal Sentinel-1 and Sentinel-2 Imagery

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

    Författare :Andreas Eriksson; [2022]
    Nyckelord :Geography; GIS; Habitat Suitability; Remote Sensing; Image Classification; Earth and Environmental Sciences;

    Sammanfattning : Remote sensing image classification is used in land cover, forest type and tree species classifications but rarely considered for habitat suitability modelling of animal and plant species. It is instead common that land cover products derived from remote sensing data are used in these modelling problems, even though satellite imagery can provide more detailed information. LÄS MER

  4. 13. Damage Assessment of the 2022 Tongatapu Tsunami : With Remote Sensing

    Kandidat-uppsats, KTH/Geoinformatik

    Författare :Milton Larsson; [2022]
    Nyckelord :remote sensing; land cover classification; Sentinel-1; Sentinel-2; change detection; change vector analysis;

    Sammanfattning : The Island of Tongatapu, Tonga, was struck by a tsunami on January 15, 2022. Internet was cut off from the island, which made remote sensing a valuable tool for the assessment of damages. Through land cover classification, change vector analysis and log-ratio image differencing, damages caused by the tsunami were assessed remotely in this thesis. LÄS MER

  5. 14. 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

  7. 15. Early-stage detection of bark beetle infested spruce forest stands using Sentinel-2 data and vegetation indices

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

    Författare :Karl Piltz; [2022]
    Nyckelord :Geomatics; Remote sensing; Bark beetle; Early-stage; Vegetation index; Sentinel-2; Spruce; Forestry; Earth and Environmental Sciences;

    Sammanfattning : The European spruce bark beetle is an insect that is often referred to as a pest. Responsible for the destruction of over 150 million m3 of Norwegian spruce forest in Europe over the last 50 years makes this insect one of the major disturbances to the forest industry. LÄS MER