Search for dissertations about: "Sentinel-2 MSI"

Showing result 6 - 8 of 8 swedish dissertations containing the words Sentinel-2 MSI.

  2. 6. Multi-Modal Deep Learning with Sentinel-1 and Sentinel-2 Data for Urban Mapping and Change Detection

    Author : Sebastian Hafner; Yifang Ban; Paolo Gamba; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Geoinformatics; Geoinformatik;

    Abstract : Driven by the rapid growth in population, urbanization is progressing at an unprecedented rate in many places around the world. Earth observation has become an invaluable tool to monitor urbanization on a global scale by either mapping the extent of cities or detecting newly constructed urban areas within and around cities. READ MORE

  4. 7. Supervised and Unsupervised Deep Learning Models for Flood Detection

    Author : Ritu Yadav; Yifang Ban; Andrea Nascetti; Nicolas Audebert; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Floods; Remote Sensing; Sentinel-1 SAR; Segmentation; Change Detection; DEM; Data Fusion; Time Series; Deep Learning; Unsupervised Learning; Contrastive Learning; Self-Attention; Convolutional LSTM; Variational AutoEncoder VAE ; Geoinformatik; Geoinformatics;

    Abstract : Human civilization has an increasingly powerful influence on the earthsystem. Affected by climate change and land-use change, floods are occurringacross the globe and are expected to increase in the coming years. Currentsituations urge more focus on efficient monitoring of floods and detecting impactedareas. READ MORE

  5. 8. Satellite Monitoring of Urbanization and Indicator-based Assessment of Environmental Impact

    Author : Dorothy Furberg; Yifang Ban; Xiaojun Yang; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Urbanization; remote sensing; land-cover classification; landscape metrics; environmental indicators; environmental impact; ecosystem services; green infrastructure; habitat network analysis; Greater Toronto Area; Stockholm; Shanghai; urbanisering; fjärranalys; marktäckeklassificering; landskapsnyckeltal; miljöindikatorer; miljöpåverkan; ekosystemtjänster; grön infrastruktur; habitat nätverksanalys; Greater Toronto Area; Stockholm; Shanghai; Geodesy and Geoinformatics; Geodesi och geoinformatik; Geoinformatik; Geoinformatics;

    Abstract : As of 2018, 55% of the world population resides in urban areas. This proportion is projected to increase to 68% by 2050 (United Nations 2018). The Stockholm region is no exception to this urbanizing trend: the population of Stockholm City has risen by 28% since the year 2000. READ MORE