Oil masks derived from airborne radar measurements for the NORSE2019 experiment
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Oil masks are derived manually from a time series of synthetic aperture radar (SAR) images covering two different types of oil; one mineral oil emulsion and one soya oil emulsion that were released during an oil-on-water experiment (NORSE2019) in the North Sea June 2019 by NOFO (www.nofo.no). These SAR images were acquired over the exercise area with an aircraft from DLR using the F-SAR sensor (see Horn et al. (2009, July). “F-SAR - DLR’s new multifrequency polarimetric airborne SAR”. In IEEE Int. Geosci. and Remote Sens. symp. (Vol. 2). doi:10.1109/IGARSS.2009.5418244 for additional information about the sensor). The data and experiment are described in Brekke et al. “Integration of multi-sensor datasets and oil drift simulations - a free floating oil experiment in open ocean”, to be submitted.The oil makes are stored as geoTif' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Manual segmentation","Mineral oil emulsion","Oil mask","Oil on water experiment","SAR","Soya oil emulsion"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Oil masks are derived manually from a time series of synthetic aperture radar (SAR) images covering two different types of oil; one mineral oil emulsion and one soya oil emulsion that were released during an oil-on-water experiment (NORSE2019) in the North Sea June 2019 by NOFO (www.nofo.no). These SAR images were acquired over the exercise area with an aircraft from DLR using the F-SAR sensor (see Horn et al. (2009, July). “F-SAR - DLR’s new multifrequency polarimetric airborne SAR”. In IEEE Int. Geosci. and Remote Sens. symp. (Vol. 2). doi:10.1109/IGARSS.2009.5418244 for additional information about the sensor). The data and experiment are described in Brekke et al. “Integration of multi-sensor datasets and oil drift simulations - a free floating oil experiment in open ocean”, to be submitted.The oil makes are stored as geoTif' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Oil masks are derived manually from a time series of synthetic aperture radar (SAR) images covering two different types of oil; one mineral oil emulsion and one soya oil emulsion that were released during an oil-on-water experiment (NORSE2019) in the North Sea June 2019 by NOFO (www.nofo.no). These SAR images were acquired over the exercise area with an aircraft from DLR using the F-SAR sensor (see Horn et al. (2009, July). “F-SAR - DLR’s new multifrequency polarimetric airborne SAR”. In IEEE Int. Geosci. and Remote Sens. symp. (Vol. 2). doi:10.1109/IGARSS.2009.5418244 for additional information about the sensor). The data and experiment are described in Brekke et al. “Integration of multi-sensor datasets and oil drift simulations - a free floating oil experiment in open ocean”, to be submitted.The oil makes are stored as geoTif
Manual segmentation; Mineral oil emulsion; Oil mask; Oil on water experiment; SAR; Soya oil emulsion