Sökning: "Sentinel-2"

Visar resultat 16 - 20 av 54 uppsatser innehållade ordet Sentinel-2.

1. 16. Evaluating Sentinel-2 based phenology and productivity data for crop monitoring in Swedish agricultural fields

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

   Författare :Daniel Erlström; [2022]
   Nyckelord :Geography; Phenology; Agriculture; Yield; Remote Sensing; Sentinel-2; Productivity; Earth and Environmental Sciences;

   Sammanfattning : Sentinel-2 based data provides interesting opportunities for land monitoring and applications in agriculture. High-Resolution Vegetation Phenology and Productivity (HR-VPP) is derived from Sentinel-2 data and offers up to 13 metrics. LÄS MER

3. 17. Self-Supervised Learning: Land Classification of Satellite Imagery

   Kandidat-uppsats, Lunds universitet/Matematisk statistik

   Författare :Robert Skoglund; [2022]
   Nyckelord :Self-supervised learning; remote sensing; land classification; SimCLR; Mathematics and Statistics;

   Sammanfattning : The rise of self-supervised learning has granted a deeper level of generalized machine learning capable of learning semantic representations without any use of labelling. With 700 satellites orbiting Earth and generating terabytes of unlabelled data daily, satellite imagery serves as a particularly enticing data set for self-supervised learning, containing rich information with many applicable domains,such as agriculture. LÄS MER

4. 18. Analysing seasonal snow cover trends and patterns on Svalbard

   Master-uppsats, Uppsala universitet/Luft-, vatten- och landskapslära

   Författare :Dhruv Maniktala; [2022]
   Nyckelord :snow cover; snow disappearance; snow onset; snow-free duration; CARRA; Svalbard;

   Sammanfattning : Rapid warming in the Arctic is highly impacting the cryosphere in the region, causing melting of the sea ice, retreat of glaciers and reduction in the snow cover. If suffering further temperature increase, the albedo of the region would reduce due to higher absorption of the solar radiation in snow-free areas. LÄS MER

5. 19. Evaluating forest wildfire effect on tree increment patterns for boreonemoral forests in Sweden: A pilot study using remote sensing

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

   Författare :Joanna Eaton; [2022]
   Nyckelord :Physical Geography and Ecosystem analysis; Remote sensing; Sentinel-2A; Forest wildfires; dNBR; NDVI; dNDVI; Dendrochronology; Atmospheric science and biogeochemical cycles; Earth and Environmental Sciences;

   Sammanfattning : The release of anthropogenic greenhouse gases (GHGs) has substantially increased the global mean surface air temperature. Increases in global mean surface air temperature will lead to warmer and drier conditions, promoting more frequent, long-lasting, intense forest wildfires. LÄS MER

7. 20. Agriculture monitoring using satellite data

   Master-uppsats, Luleå tekniska universitet/Rymdteknik

   Författare :Graff Erik; [2021]
   Nyckelord :Sentinel; satellite; agriculture; monitoring; dynamic time warping; remote sensing;

   Sammanfattning : As technology advances, the possibility of using satellite data and observations to aid inagricultural activities comes closer to reality. Swedish farmers can apply for subsidies for their land in which crop management and animal grazing occurs, and every year thousands of manual follow-up checks are conducted by Svenska Jordbruksverket (Swedish Board of Agriculture) to validate the farmers’ claims to financial aid. LÄS MER