Blar i Institutt for geografi på forfatter "Ganerød, Alexandra Jarna"
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Between data-science and geosciences: exploring the use of deep learning in automated mapping
Ganerød, Alexandra Jarna (Doctoral theses at NTNU;2024:62, Doctoral thesis, 2024)Artificial intelligence (AI) is one of the fastest-growing disciplines in information technology and has been successfully applied in many different fields. Currently, the technology is available for everyone but remains ... -
Delineation of Wetland Areas in South Norway from Sentinel-2 Imagery and LiDAR Using TensorFlow, U-Net, and Google Earth Engine
Bakkestuen, Vegar; Venter, Zander; Ganerød, Alexandra Jarna; Framstad, Erik (Peer reviewed; Journal article, 2023)Wetlands are important habitats for biodiversity and provide ecosystem services such as climate mitigation and carbon storage. The current wetland mapping techniques in Norway are tedious and costly, and remote sensing ... -
Globally vs. Locally Trained Machine Learning Models for Landslide Detection: A Case Study of a Glacial Landscape
Ganerød, Alexandra Jarna; Lindsay, Erin Rose Pilaar; Fredin, Ola; Myrvoll, Tor Andre; Nordal, Steinar; Rød, Jan Ketil (Peer reviewed; Journal article, 2023)Landslide risk mitigation is limited by data scarcity; however, this could be improved using continuous landslide detection systems. To investigate which image types and machine learning models are most useful for landslide ... -
Where are the outcrops? Automatic delineation of bedrock from sediments using Deep-Learning techniques
Ganerød, Alexandra Jarna; Bakkestuen, Vegard; Calovi, Martina; Fredin, Ola; Rød, Jan Ketil (Peer reviewed; Journal article, 2023)The delineating of bedrock from sediment is one of the most important phases in the fundamental process of regional bedrock identification and mapping, and it is usually manually performed using high-resolution optical ...