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Earth Observation (EO), Remote Sensing (RS), and Geoinformation (GI) Applications in Svalbard

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snow cover; remote sensing; sea ice variability; vegetation growth; arctic climate change; Arctic aerosol; aerosol transport; aged aerosol; aerosol modification; aerosol optical properties; aerosol microphysical properties; aerosol remote sensing; microphysical inversion; aerosol radiative effect; Arctic radiative budget; earth observation; COVID-19; Svalbard; earth system science; SIOS; polar regions; snow modelling; MODIS; Sentinel-2; permafrost; active layer; InSAR; time series; ground displacement; ground temperature; displacement progression; thaw progression; Arctic; NDVI; time-series; onset of growth; classifier; disturbance; drone; ecological monitoring; GLCM; herbivore; random forest; winter climate effect; grubbing; Arctic clouds; cirrus clouds; ice clouds; lidar; ocean eddies; marginal ice zone; sea ice; SAR imaging; Fram Strait; Greenland Sea; Hopen Island; Arctic Ocean; tidewater glaciers; surface elevation changes; glacier geometry; structure-from-motion; terrestrial laser scanning; digital elevation model; ICESat-2; laser altimetry; kinematic GPS experiments; glaciology; surge glaciers; svalbard; density dimension algorithm for ice surfaces; airborne validation of satellite data; lake ice; Sentinel-1; water temperature; glacier facies; atmospheric correction; pansharpening; WorldView-2; Ny-Ålesund; Chandra–Bhaga basin; target detection; supervised classification; Sentinel-1 and Sentinel-2; time series analysis; snow melt; tundra; plant phenology; ice cover; Antarctic; spectral reflectance; hyperspectral data; ocean colour; coastal darkening; SPM; sediment plumes; Arctic coast; regional tuning; coastal ecosystems; land-ocean-interaction; riverine inputs; geographic object-based image analysis; glacier surface facies; surface facies of glaciers; pixel-based image analysis; atmospheric corrections; image processing routines; n/a

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