Overview of some of NR's projects

To see a smaller range of projects within a department or research area, check the appropriate boxes. If several boxes are selected, then the selected projects satisfies at least one of the boxes in the selected column(s).

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Sider

Scandinavian Snow Monitoring Service (ScanSnow)

SeaU

Multisensor Satellite Technologies for Oil Pollution Monitoring and Source Identification

Pollution by oil spills in open sea and coastal waters is a major problem due to frequent transport of goods by ships. Many ships dump oil illegally when they think nobody's watching. Monitoring of oil spills from ships is therefore a high priority task.

Selected older Earth Observation projects

Contextual classification

Sentinel4Nature

Monitoring and mapping of environmental gradients using Sentinel data in combination with supplemental data

SeSam4 – Semi-Semantic Models for Cross-Sector Portals

The SeSam4 project aims at establishing the framework and models for more efficient development processes of semantic based products and services, e.g. cross-domain portals.

Sinoe! - Intensiv opptrening av språklige ferdigheter hos elever med ASD med hjelp av sosiale roboter

Prosjektets overordnede mål er å videreutvikle opplæringsopplegget for opptrening av språklige ferdigheter hos elever med ASD. Vi vil undersøke om sosiale roboter kan bidra til å videreutvikle barnas innlærte ferdigheter i overgang fra barnehage til skole gjennom systematisk trening.

Skjermkontraster

En informasjonstavle som står ute, fra NSB Målet med dette prosjektet var å diskutere ulike teknologier, verktøy og metoder, og å gi en konkret, begrunnet anbefaling for den mest pålitelige og effektive måten å måle skjermkontraster på.

Smart Bolighandel

SnowLab

Several snow parameters and snow products can today be derived from optical and multi sensor satellite data. Present snow algorithms are developed using a number of satellite sensors, data formats, programming languages as well as being of variable quality. In view of new satellite sensors recently (or within shortly) launched, the SnowLab project will develop a snow retrieval algorithm user interface utilizing both single/multisensor state-of-the-art retrieval algorithms and in house developed algorithms under the Environment for Visualizing Images (ENVI).

SnowMan

In Norway, operational snow cover area monitoring is performed based on satelitte data and is a useful tool in hydropower production planning, snow monitoring and flood prediction systems. Hydrological precipitation-runoff models have been in operational use for more than 20 years for flood warning, planning, design and operation of hydropower systems in addition to impact assessments.