Sökning: "Wildfire"
Visar resultat 1 - 5 av 13 avhandlingar innehållade ordet Wildfire.
1. Deep Learning for Wildfire Progression Monitoring Using SAR and Optical Satellite Image Time Series
Sammanfattning : 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. LÄS MER
2. Large-Scale Multi-Source Satellite Data for Wildfire Detection and Assessment Using Deep Learning
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
3. Boreal Forest Wildfire in a Changing Climate
Sammanfattning : 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. LÄS MER
4. Carbon exchange in boreal ecosystems: upscaling and the impacts of natural disturbances
Sammanfattning : 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. LÄS MER
5. Deep Learning for Active Fire Detection Using Multi-Source Satellite Image Time Series
Sammanfattning : 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. LÄS MER