Blar i Institutt for bygg- og miljøteknikk på tidsskrift "Remote Sensing"
Viser treff 1-10 av 10
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Breach Progression Observation in Rockfill Dam Models Using Photogrammetry
(Peer reviewed; Journal article, 2023)Dam failures are examples of man-made disasters that have stimulated investigation into the processes related to the failure of different dam types. Embankment dam breaching during an overtopping event is one of the major ... -
Comparison between Topographic and Bathymetric LiDAR Terrain Models in Flood Inundation Estimations
(Peer reviewed; Journal article, 2022)Remotely sensed LiDAR data has allowed for more accurate flood map generation through hydraulic simulations. Topographic and bathymetric LiDARs are the two types of LiDAR used, of which the former cannot penetrate water ... -
Efficient Ground Surface Displacement Monitoring Using Sentinel-1 Data: Integrating Distributed Scatterers (DS) Identified Using Two-Sample t-Test with Persistent Scatterers (PS)
(Journal article; Peer reviewed, 2018)Combining persistent scatterers (PS) and distributed scatterers (DS) is important for effective displacement monitoring using time-series of SAR data. However, for large stacks of synthetic aperture radar (SAR) data, the ... -
Feasibility of using Grammars to infer room semantics
(Journal article; Peer reviewed, 2019)Current indoor mapping approaches can detect accurate geometric information but are incapable of detecting the room type or dismiss this issue. This work investigates the feasibility of inferring the room type by using ... -
First Evidence of Mesoscale Ocean Eddies Signature in GNSS Reflectometry Measurements
(Journal article; Peer reviewed, 2020)Feasibility of sensing mesoscale ocean eddies using spaceborne Global Navigation Satellite Systems-Reflectometry (GNSS-R) measurements is demonstrated for the first time. Measurements of Cyclone GNSS (CYGNSS) satellite ... -
Globally vs. Locally Trained Machine Learning Models for Landslide Detection: A Case Study of a Glacial Landscape
(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 ... -
Modeling and Prediction of Regular Ionospheric Variations and Deterministic Anomalies
(Journal article; Peer reviewed, 2020)Knowledge on the ionospheric total electron content (TEC) and its prediction are of great practical importance and engineering relevance in many scientific disciplines. We investigate regular ionospheric anomalies and TEC ... -
Multi-Temporal Satellite Image Composites in Google Earth Engine for Improved Landslide Visibility: A Case Study of a Glacial Landscape
(Peer reviewed; Journal article, 2022)Regional early warning systems for landslides rely on historic data to forecast future events and to verify and improve alarms. However, databases of landslide events are often spatially biased towards roads or other ... -
Quantitative Evaluation of Bathymetric LiDAR Sensors and Acquisition Approaches in Lærdal River in Norway
(Peer reviewed; Journal article, 2023)The development of bathymetric LiDAR technology has contributed significantly to both the quality and quantity of river bathymetry data. Although several bathymetric LiDAR sensors are available today, studies that evaluate ... -
Towards Circumpolar Mapping of Arctic Settlements and Infrastructure Based on Sentinel-1 and Sentinel-2
(Peer reviewed; Journal article, 2020)Infrastructure expands rapidly in the Arctic due to industrial development. At the same time, climate change impacts are pronounced in the Arctic. Ground temperatures are, for example, increasing as well as coastal erosion. ...