Blar i Divisjon for kart og statistikk på tidsskrift "Remote Sensing"
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Accuracy of the Copernicus High-Resolution Layer Imperviousness Density (HRL IMD) Assessed by Point Sampling within Pixels
(Peer reviewed; Journal article, 2022-07-28)The Copernicus high-resolution layer imperviousness density (HRL IMD) for 2018 is a 10 m resolution raster showing the degree of soil sealing across Europe. The imperviousness gradation (0–100%) per pixel is determined by ... -
Hyperspectral and Lidar Data Applied to the Urban Land Cover Machine Learning and Neural-Network-Based Classification: A Review
(Peer reviewed; Journal article, 2021-08-26)Rapid technological advances in airborne hyperspectral and lidar systems paved the way for using machine learning algorithms to map urban environments. Both hyperspectral and lidar systems can discriminate among many ... -
Land cover segmentation of airborne LiDAR data using stochastic atrous network
(Journal article; Peer reviewed, 2018-06-19)Inspired by the success of deep learning techniques in dense-label prediction and the increasing availability of high precision airborne light detection and ranging (LiDAR) data, we present a research process that compares ... -
Mapping Seasonal Agricultural Land Use Types Using Deep Learning on Sentinel-2 Image Time Series
(Peer reviewed; Journal article, 2021-01-15)The size and location of agricultural fields that are in active use and the type of use during the growing season are among the vital information that is needed for the careful planning and forecasting of agricultural ... -
Yield Estimates by a Two-Step Approach Using Hyperspectral Methods in Grasslands at High Latitudes
(Journal article; Peer reviewed, 2019-02-16)Ruminant fodder production in agricultural lands in latitudes above the Arctic Circle is constrained by short and hectic growing seasons with a 24-hour photoperiod and low growth temperatures. The use of remote sensing to ...