Ship detection products based on complex SAR data in TOPS mode

With the increasing need for monitoring ship traffic in both coastal and open oceans, ship detection is an important application of synthetic aperture radar (SAR). This thesis investigates image products suitable for ship detection for complex data acquired in Terrain Observation by Progressive Scans (TOPS) mode. The research was based on studying how contrast enhancement algorithms suitable for SLC data is adaptable to complex data acquired in TOPS mode. Secondly it investigated if by processing the TOPS raw data with a different focusing scheme had any affect on the image product. The evaluation of image products were done by well known contrast measurements such as peak to clutter ratio (PCR) and target to clutter ratio (TCR). The speckle content was measured by the coefficient of variation (CV). The improved subaperture cross-correlation (SCM) algorithm developed by Brekke et al. was extended to fit the dual polarization case of Sentinel-1 IW mode. The polarimetric extension was based on the full polarimetric SCM extension proposed by Souyris et al. Single, and dual polarization SCM algorithms were compared to the Polarimetric whitening filter and Aegir-Pol. Aegir-Pol is a polarimetric fusion between co-pol and cross pol widely used by the Norwegian Defence Research Establishment. Kongsberg Spacetec Near Real Time processor named NRTSAR was used to focus TOPS raw data. The focusing was done with various bandwidths and window weighting functions.The results showed that all contrast enhancement algorithms were adaptable to SLC data in TOPS mode. SCM processed for the VH channel and for the polarimetric extension yielded best image products in terms of TCR and PCR. In this relation a small overlap between the subapertures is needed. The SCM image products experienced a minor increase in TCR and PCR with increasing focusing bandwidth and the choice of window function had most effect on TCR and PCR considering the shortest bandwidth. NRTSAR focused TOPS SLC data with maximum overlap between azimuth bursts. Using this area as an alternative subaperture was investigated, but no observation of improved CV was observed

Polarimetric analysis of oil contaminated laboratory grown saltwater ice imaged by a ground based SAR

In this paper we present preliminary experimental results from a ground based SAR system imaging artificially grown saltwater ice induced with crude oil. The data is acquired from a large scale laboratory experiment conducted at the Arctic Environmental Test basin (AETB) at Hamburgische Schiffbau-Versuchsanstalt GmbH (HSVA) March 14 - April 4, 2017. Here two artificial ice types were generated with simulated seasonal variation consisting of an initial ice growth phase and a melting phase. Interpreting the uncalibrated full polarimetric intensity data acquired from the experiment show a potential for a more detailed polarimetric analysis for characterising the oil contaminated ice surface

Studieplan for fagskoleutdanning i Bærekraftige matopplevelser

Studieplan for fagskoleutdanningen Bærekraftige matopplevelser bygger på erfaringer fra studietilbud Mat og matkultur som ble tilbudt ved Høgskolen i Nesna i samarbeid med Norsk institutt for bioøkonomi (NIBIO) (2005-2014). Planen er godkjent av NOKUT (2020), og viser oppbygging og innhold i et treårig utdanningsløp (90 studiepoeng) som fører kandidaten fram til tittelen fagtekniker i bærekraftige matopplevelser. Utdanningen består av seks emner og gir studentene praktisk og teoretisk kompetanse om utvalgte tema i alle ledd i verdikjeden, fra produksjon av råvarer, foredling og tilberedning fram til matopplevelse. Matopplevelsen omfatter i denne sammenheng både utvikling av måltidsopplevelser og matverksted/-kurs. Studenten får innsikt i matproduksjon i fortid og nåtid, biologi, biokjemi, kostholdsretninger, trender, markedssegment, konseptutvikling, opplevelsesdesign og kommunikasjon omkring mat og måltid. Studenten vil etter fullført utdanning kunne formidle bærekraftige matopplevelser, der hele verdikjeden ivaretas. Fagskoleutdanningen er utviklet i et samarbeid mellom Nordland fagskole, NIBIO, Mosjøen videregående skole og Vikgården AS. Arbeidet er finansiert gjennom midler fra Nordland fylkeskommune, Statsforvalteren i Nordland og Troms og Finnmark, Kompetanseutviklingsmidler for Arktisk landbruk og Landbruksdirektoratet. Det er også nedlagt en betydelig egeninnsats fra samarbeidspartene.publishedVersio

Studieplan for fagskoleutdanning i Bærekraftige matopplevelser

Studieplan for fagskoleutdanningen Bærekraftige matopplevelser bygger på erfaringer fra studietilbud Mat og matkultur som ble tilbudt ved Høgskolen i Nesna i samarbeid med Norsk institutt for bioøkonomi (NIBIO) (2005-2014). Planen er godkjent av NOKUT (2020), og viser oppbygging og innhold i et treårig utdanningsløp (90 studiepoeng) som fører kandidaten fram til tittelen fagtekniker i bærekraftige matopplevelser. Utdanningen består av seks emner og gir studentene praktisk og teoretisk kompetanse om utvalgte tema i alle ledd i verdikjeden, fra produksjon av råvarer, foredling og tilberedning fram til matopplevelse. Matopplevelsen omfatter i denne sammenheng både utvikling av måltidsopplevelser og matverksted/-kurs. Studenten får innsikt i matproduksjon i fortid og nåtid, biologi, biokjemi, kostholdsretninger, trender, markedssegment, konseptutvikling, opplevelsesdesign og kommunikasjon omkring mat og måltid. Studenten vil etter fullført utdanning kunne formidle bærekraftige matopplevelser, der hele verdikjeden ivaretas. Fagskoleutdanningen er utviklet i et samarbeid mellom Nordland fagskole, NIBIO, Mosjøen videregående skole og Vikgården AS. Arbeidet er finansiert gjennom midler fra Nordland fylkeskommune, Statsforvalteren i Nordland og Troms og Finnmark, Kompetanseutviklingsmidler for Arktisk landbruk og Landbruksdirektoratet. Det er også nedlagt en betydelig egeninnsats fra samarbeidspartene

Mosideo/cirfa tank experiments on behavior and detection of oil in ice

In the Arctic, presence of sea ice presents a challenge to safe and sustainable operations. To optimize planning and minimize impact of inadvertent oil spills, oil-in-ice experiments were performed at the HSVA Arctic Environmental Test Basin (AETB) from 14 March to 4 April 2017. Following an under-ice spill and simulated springtime warming, the microscopic movement and distribution of oil in the sea ice pore space as well as the detectability of oil as it approaches the surface were investigated. Two ice types were studied simultaneously, i.e., columnar ice with and without a granular ice surface layer. Among the detection techniques were electromagnetic (radar, tomographic SAR) and optical (fluorescent, hyperspectral, thermal) sensors, and microscopic distribution of oil in sea ice were determined through X-ray computed tomography (CT). This paper presents the setup of the experiment and general ice properties. It was found that the movement of oil differed considerably between the investigated ice types. Predicting the behavior of oil in ice based on environmental conditions will help optimize the approaches used in spill detection and response.publishedVersio

Mosideo/cirfa tank experiments on behavior and detection of oil in ice

In the Arctic, presence of sea ice presents a challenge to safe and sustainable operations. To optimize planning and minimize impact of inadvertent oil spills, oil-in-ice experiments were performed at the HSVA Arctic Environmental Test Basin (AETB) from 14 March to 4 April 2017. Following an under-ice spill and simulated springtime warming, the microscopic movement and distribution of oil in the sea ice pore space as well as the detectability of oil as it approaches the surface were investigated. Two ice types were studied simultaneously, i.e., columnar ice with and without a granular ice surface layer. Among the detection techniques were electromagnetic (radar, tomographic SAR) and optical (fluorescent, hyperspectral, thermal) sensors, and microscopic distribution of oil in sea ice were determined through X-ray computed tomography (CT). This paper presents the setup of the experiment and general ice properties. It was found that the movement of oil differed considerably between the investigated ice types. Predicting the behavior of oil in ice based on environmental conditions will help optimize the approaches used in spill detection and response

Mosideo/cirfa tank experiments on behavior and detection of oil in ice

In the Arctic, presence of sea ice presents a challenge to safe and sustainable operations. To optimize planning and minimize impact of inadvertent oil spills, oil-in-ice experiments were performed at the HSVA Arctic Environmental Test Basin (AETB) from 14 March to 4 April 2017. Following an under-ice spill and simulated springtime warming, the microscopic movement and distribution of oil in the sea ice pore space as well as the detectability of oil as it approaches the surface were investigated. Two ice types were studied simultaneously, i.e., columnar ice with and without a granular ice surface layer. Among the detection techniques were electromagnetic (radar, tomographic SAR) and optical (fluorescent, hyperspectral, thermal) sensors, and microscopic distribution of oil in sea ice were determined through X-ray computed tomography (CT). This paper presents the setup of the experiment and general ice properties. It was found that the movement of oil differed considerably between the investigated ice types. Predicting the behavior of oil in ice based on environmental conditions will help optimize the approaches used in spill detection and response

Mosideo/cirfa tank experiments on behavior and detection of oil in ice

In the Arctic, presence of sea ice presents a challenge to safe and sustainable operations. To optimize planning and minimize impact of inadvertent oil spills, oil-in-ice experiments were performed at the HSVA Arctic Environmental Test Basin (AETB) from 14 March to 4 April 2017. Following an under-ice spill and simulated springtime warming, the microscopic movement and distribution of oil in the sea ice pore space as well as the detectability of oil as it approaches the surface were investigated. Two ice types were studied simultaneously, i.e., columnar ice with and without a granular ice surface layer. Among the detection techniques were electromagnetic (radar, tomographic SAR) and optical (fluorescent, hyperspectral, thermal) sensors, and microscopic distribution of oil in sea ice were determined through X-ray computed tomography (CT). This paper presents the setup of the experiment and general ice properties. It was found that the movement of oil differed considerably between the investigated ice types. Predicting the behavior of oil in ice based on environmental conditions will help optimize the approaches used in spill detection and response

Crowd assembled near Admin Building - Theodore Roosevelt 1911 University of Idaho visit

Image shows crowd assembled in front of University of Idaho Administration Building to hear Roosevelt speak