Now showing items 11-15 of 15
Estimation of atmospheric temperature and humidity profiles from MODIS data and radiosond data using artificial neural network
(Journal article; Tidsskriftartikkel; Peer reviewed, 2008)
The aim of this study is to test the quality of the neural network for retrieving the temperature and humidity by comparison with the radiosond values and a linear regression method. Remote sensed images give useful information about the atmosphere. In this article, MODIS data is used to retrieve temperature and humidity profiles of the atmosphere. Two methods of linear regression and artificial ...
Iceberg detection in open water and sea ice using C-band radar polarimetry
(Journal article; Tidsskriftartikkel; Peer reviewed, 2017-12-04)
Icebergs can cause a significant danger for shipping, offshore oil exploration, and undersea or subsea pipelines and production facilities. Synthetic aperture radar (SAR) is very valuable tool of detecting and monitoring icebergs in the often dark and cloud-covered polar regions. Detection of small icebergs floating in nonhomegeous sea clutter environments is a challenging task in remote sensing. ...
Validation of SAR Iceberg Detection with Ground-Based Radar and GPS Measurements
(Peer reviewed; Chapter; Bokkapittel, 2018-11-05)
Calving of icebergs at the tidewater glacier fronts is a component of the mass loss in Polar regions. Studying the regional distribution of icebergs, their volume, motion, and interaction with the environment is of interest. Here, we present the results from a fieldwork campaign conducted in Kongsfjorden, Svalbard in April 2016, where both satellite and ground-based remote sensing instruments were ...
Quad-Polarimetric SAR for Detection and Characterization of Icebergs
(Conference object; Konferansebidrag, 2016)
This paper evaluates the performance of fully polarimetric SAR data in iceberg detection and characterization. The study aims to explore the potential of RADARSAT-2 SAR data to detect icebergs and growlers in Svalbard that have broken off from the glaciers nearby. To be able to detect iceberg/growlers in a SAR image, a significant contrast between iceberg and background clutter is required. The ...
Non-gaussian clustering of SAR images for glacier change detection
(Journal article; Tidsskriftartikkel, 2010-12)
Our aim is to use unsupervised, non-Gaussian clustering of Arctic glaciers for post-classification change detection. Firstly, we demonstrate the consistency of non-Gaussian clustering algorithms for Envisat ASAR images by characterizing the expected random error level for different SAR acquisition conditions (such as incidence angle). This allows us to determine whether an observed variation is ...