Search for dissertations about: "Wildfire"

Showing result 1 - 5 of 13 swedish dissertations containing the word Wildfire.

  2. 1. Deep Learning for Wildfire Progression Monitoring Using SAR and Optical Satellite Image Time Series

    Author : Puzhao Zhang; Yifang Ban; Lorenzo Burzzone; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Remote Sensing; Deep Learning; Wildfire; Burned Area Mapping; Synthetic Aperture Radar; Change Detection; Segmentation; Optical and Radar Image Analysis; Sentinel-1; Sentinel-2; fjärranalys; djup inlärning; skogsbrand; kartläggning av brända områden; Synthetic Aperture Radar; upptäckt av förändringar; segmentering; analys av optiska och radarbilder; Sentinel-1; Sentinel-2; Geoinformatik; Geoinformatics;

    Abstract : Wildfires have coexisted with human societies for more than 350 million years, always playing an important role in affecting the Earth's surface and climate. Across the globe, wildfires are becoming larger, more frequent, and longer-duration, and tend to be more destructive both in lives lost and economic costs, because of climate change and human activities. READ MORE

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

    Author : Xikun Hu; Yifang Ban; Martin Wooster; KTH; []
    Keywords : 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;

    Abstract : 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. READ MORE

  5. 3. Boreal Forest Wildfire in a Changing Climate

    Author : Johan Eckdahl; BECC: Biodiversity and Ecosystem services in a Changing Climate; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; boreal forest wildfire; carbon emissions; nutrient cycling; nitrogen; microbial community; plant community; climate chnge; secondary succession; Sweden; Fennoscandia; biodiversity; boreal skogsbrand; koldioxiduttsläpp; näringscykling; kväve; mirkobiellt samhälle; växtsamhälle; klimatförändring; sekundär succession; sverige; Fennoskandien; biologisk mångfald;

    Abstract : The boreal region contains 40% of the earth’s carbon (C) that is stored in vegetation and soils with its forests accounting for almost 30% of the terrestrial C sink. Boreal forests are experiencing some of the most rapid rates of climatic warming and increases in fire activity, threatening to release large amounts of their dense C reserves to the atmosphere. READ MORE

  6. 4. Carbon exchange in boreal ecosystems: upscaling and the impacts of natural disturbances

    Author : Julia Kelly; BECC: Biodiversity and Ecosystem services in a Changing Climate; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Carbon fluxes; CH4; Climate change; CO2; Drought; Ecosystem respiration; Forest; Peatland; Remote sensing; Temperature; Thermal camera; UAV; Wildfire;

    Abstract : Boreal forests and peatlands are globally significant carbon stores but they are threatened by rising air temperatures and changes in precipitation regimes and the frequency of natural disturbances. Predicting how the boreal biome will respond to climate change depends on being able to accurately model and upscale the greenhouse gas fluxes between these ecosystems and the atmosphere. READ MORE

  7. 5. Deep Learning for Active Fire Detection Using Multi-Source Satellite Image Time Series

    Author : Yu Zhao; Yifang Ban; Andrea Nascetti; Josephine Sullivan; Cartalis Constantinos; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Wildfire; Remote Sensing; Active Fire Detection; GOES-R ABI; Suomi-NPP VIIRS; Image Segmentation; Deep Learning; Gated Recurrent Units GRU ; Transformer.; Vilda Bränder; Fjärranalys; Aktiv Branddetektering; GOES- R ABI; Suomi-NPP VIIRS; Bildsegmentering; Djupinlärning; Gated Recurrent Units GRU ; Transformer; Geoinformatik; Geoinformatics;

    Abstract : In recent years, climate change and human activities have caused increas- ing numbers of wildfires. Earth observation data with various spatial and temporal resolutions have shown great potential in detecting and monitoring wildfires. READ MORE