About Section for Earth Observation at NR
NR has been a leading research and development institute in satellite remote sensing since Norway started to focus on this discipline in the beginning of the 1980's. The institute's main role has since then been to do research and development of methodologies for analysis of digital remote sensing data, in particular methodologies for semi-automatic and automatic classification, parameter retrieval and object recognition. Building on national and international collaboration, NR has been able to make significant contributions in several application areas, like environmental monitoring, climate change monitoring, environmental emergency detection, natural resource mapping and map revision. Our vision is to perform research and development leading to new remote sensing methodologies for improved ways of environmental monitoring, natural resource mapping and other applications for public authorities and industry.
For more information contact: Rune Solberg
News
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New method combines road segmentation and image-to-map registration...A crucial step in the process of vehicle detection from satellite images, is the segmentation of the road more |
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Image texture as a powerful feature...Image texture has been demonstrated as a powerful feature for segmenting avalanches in QuickBird images more |
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Preliminary version of hemispherical prototype product...A preliminary Snow Extent product for the Northern Hemishpere has been developed by the GlobSnow project more |
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First version of Snow Cover Extent (SCE) algorithm developedA first version of a global passive microwave radiometer snow cover extent (SCE) product has been developed by the CryoClim project more |
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Burial mound sites detected from spaceA project on satellite surveying for potential remains of cultural heritage sites demonstrates detection of burial mounds in Vestfold County more |
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Forest change detection methods demonstrated on Landsat images of tropical forest in BrazilNR has applied change detection methods on a time series of Landsat images of Brazillian tropical rain forest. The results from this preliminary study are very promising. more |