Sökning: "Sentinel-2"

Visar resultat 1 - 5 av 14 avhandlingar innehållade ordet Sentinel-2.

  1. 1. Earth Observation based Monitoring of Urbanizationand Environmental Impact in Kigali, Rwanda

    Författare :Theodomir Mugiraneza; Yifang Ban; Jan Haas; Emmanuel Twarabamenye; Constantinos Cartalis; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Earth observation; Landsat; Sentinel-2; WorldView-2; Urbanization; Land cover classification; Support vector machines; Random forest; U-Net; LandTrendr; Landscape metrics; Ecosystem services; Environmental impact analysis; Kigali; Rwanda; Jordobservation; Landsat; Sentinel-2 MSI; WorldView-2; Urbanisering; Klassificering av marktäcke; Stödvektormaskiner; Slumpmässig skog; U-Net; LandTrendr; Landskapsmetriker; Ekosystemtjänster; Miljökon- sekvensanalys; Kigali; Rwanda.; Geoinformatics; Geoinformatik;

    Sammanfattning : Urbanization is one of the great challenges in the 21st century. Despite being an engine for the global economy, urban areas consume 78% of World's energy and emit more than 60% of greenhouse gas emission. Sub-SaharanAfrican cities, e.g. LÄS MER

  3. 2. Vegetation Observation in the Big Data Era : Sentinel-2 data for mapping the seasonality of land vegetation

    Författare :Zhanzhang Cai; Institutionen för naturgeografi och ekosystemvetenskap; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Sentinel-2; Times-series analysis; Phenology; GPP;

    Sammanfattning : Using satellite remote sensing data for observing vegetation seasonality is an important approach to estimate phenology and carbon uptake of land vegetation. The successful launch of Sentinel-2B in 2017 initiated full operation of the Sentinel-2 twin satellites, and they now provide 10 - 60 m spatial resolution satellite data at 5 days temporal resolution worldwide, releasing approximately 3. LÄS MER

  4. 3. Large-Scale Multi-Source Satellite Data for Wildfire Detection and Assessment Using Deep Learning

    Författare :Xikun Hu; Yifang Ban; Martin Wooster; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Wildfire; Remote Sensing; Active Fire Detection; Burned Area Mapping; Burn Severity Assessment; Sentinel-2; Landsat; Sentinel-1; Deep Learning; Semantic Segmentation; Image Translation; Skogsbrand; fjärranalys; aktiv branddetektering; kartläggning av bränt område; bedömning av brännskador; Sentinel-2; Landsat; Sentinel-1; djupinlärning; semantisk segmentering; bildöversättning.; Geoinformatik; Geoinformatics;

    Sammanfattning : Earth Observation (EO) satellites have great potential in wildfire detection and assessment at fine spatial, temporal, and spectral resolutions. For a long time, satellite data have been employed to systematically monitor wildfire dynamics and assess wildfire impacts, including (i) to detect the location of actively burning spots, (ii) to map the spatial extent of the burn scars, (iii) to assess the wildfire damage levels. LÄS MER

  5. 4. Multispectral Remote Sensing and Deep Learning for Wildfire Detection

    Författare :Xikun Hu; Yifang Ban; Ioannis Gitas; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; active fire detection; biome; multi-criteria; Sentinel-2; Landsat-8; burned area mapping; deep learning; semantic segmentation; machine learning.; aktiv branddetektering; biom; multikriterietillvägagångssätt; Sentinel-2; Landsat-8; kartläggning av bränt område; djupinlärning; semantisk segmentering; maskininlärningsmetoderna; Geoinformatik; Geoinformatics;

    Sammanfattning : Remote sensing data has great potential for wildfire detection and monitoring with enhanced spatial resolution and temporal coverage. Earth Observation satellites have been employed to systematically monitor fire activity over large regions in two ways: (i) to detect the location of actively burning spots (during the fire event), and (ii) to map the spatial extent of the burned scars (during or after the event). LÄS MER

  7. 5. Evaluating thinning practices and assessment methods for improved management in coniferous production forests in southern Sweden

    Författare :Magnus Persson; Johan Bergh; Lauri Mehtätalo; Linnéuniversitetet; []
    Nyckelord :LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; thinning; within-stand variation; tree species classification; Scots pine; Norway spruce; Sentinel-2; Heureka; Precision forestry; thinning detection; basal area; Forestry and Wood Technology; Skog och träteknik;

    Sammanfattning : Most of our knowledge about wood production of Scots pine (Pinus sylvestris L.) and Norway spruce (Picea abies (L.) Karst.) and associated silvicultural guidelines are based on field experiments. LÄS MER