Suchergebnisse - "Sea Ice Monitoring"

Neural network-based data processing for satellite imagery in small satellite earth observation missions

Autoren: Llaveria Godoy, David

Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions

Thesis Advisors: Camps Carmona, Adriano José

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: CubeSatsEarth Observation (EO), Remote Sensing, Data Processing, Onboard Processing, Neural Networks, Hyperspectral Imaging, Band Selection, Sea Ice Monitoring, GNSS-Reflectometry (GNSS-R), L-band Radiometry, Image Deblurring, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació, 621.3 - Enginyeria elèctrica. Electrotècnia. Telecomunicacions

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/695367
https://dx.doi.org/10.5821/dissertation-2117-442913

MACHINE LEARNING FOR SEA ICE MONITORING FROM SATELLITES

Autoren: Dumitru, C. O. Andrei, V. Schwarz, G. et al.

Quelle: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W16, Pp 83-89 (2019)
ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Schlagwörter: Technology, 0211 other engineering and technologies, 02 engineering and technology, Engineering (General). Civil engineering (General), 01 natural sciences, TA1501-1820, Machine Learning, 13. Climate action, Applied optics. Photonics, TA1-2040, Sea Ice Monitoring, EO Data Science, 0105 earth and related environmental sciences

Dateibeschreibung: application/pdf

Zugangs-URL: https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W16/83/2019/isprs-archives-XLII-2-W16-83-2019.pdf
https://isprs-archives.copernicus.org/articles/XLII-2-W16/83/2019/
https://doaj.org/article/dc314edbdfc3450ab163aa7833e4380f
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W16/83/2019/isprs-archives-XLII-2-W16-83-2019.pdf
https://noa.gwlb.de/receive/cop_mods_00041243
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W16/83/2019/
https://ui.adsabs.harvard.edu/abs/2019ISPAr4216...83D/abstract
https://elib.dlr.de/130273/
https://elib.dlr.de/130273/
https://elib.dlr.de/130273/
https://doi.org/10.5194/isprs-archives-xlii-2-w16-83-2019

Variability of sea ice in the Arctic according to the Arctic Portal

Autoren: E. V. Zabolotskikh K. S. Khvorostovsky E. A. Balashova et al.

Quelle: Лëд и снег, Vol 60, Iss 2, Pp 239-250 (2020)

Schlagwörter: arctic portal, satellite data, sea ice monitoring in the arctic, Science

Dateibeschreibung: electronic resource

Relation: https://ice-snow.igras.ru/jour/article/view/803; https://doaj.org/toc/2076-6734; https://doaj.org/toc/2412-3765

Zugangs-URL: https://doaj.org/article/72141070edba472abd35fb4091bb92ae

Sea Ice Thickness and Elastic Properties From the Analysis of Multimodal Guided Wave Propagation Measured With a Passive Seismic Array

Autoren: Moreau, Ludovic Boué, Pierre Serripierri, Agathe et al.

Weitere Verfasser: Moreau, Ludovic Boué, Pierre Serripierri, Agathe et al.

Quelle: Journal of Geophysical Research: Oceans. 125

Schlagwörter: guided waves, Sea ice monitoring, mechanical properties, 01 natural sciences, thickness, array processing, DISPERSION, 13. Climate action, 0103 physical sciences, MODES, sea ice monitoring, [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology, 14. Life underwater, seismic noise, Geosciences, [SDU.STU.GL] Sciences of the Universe [physics]/Earth Sciences/Glaciology, 0105 earth and related environmental sciences

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.archives-ouvertes.fr/hal-03014333/file/Moreau%20JGR%20Svalbard%202020.pdf
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019JC015709
https://researchportal.helsinki.fi/en/publications/sea-ice-thickness-and-elastic-properties-from-the-analysis-of-mul
https://ui.adsabs.harvard.edu/abs/2020JGRC..12515709M/abstract
https://onlinelibrary.wiley.com/doi/abs/10.1029/2019JC015709
http://hdl.handle.net/10138/316261

Machine Learning-Aided Sea Ice Monitoring Using Feature Sequences Extracted from Spaceborne GNSS-Reflectometry Data

Autoren: Zhu, Yongchao Tao, Tingye Yu, Kegen et al.

Schlagwörter: 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten, Delay-Doppler Map, Global Navigation Satellite System-Reflectometry, decision tree, random forest, sea ice monitoring

Dateibeschreibung: application/pdf

Verfügbarkeit: https://depositonce.tu-berlin.de/handle/11303/12263
https://doi.org/10.14279/depositonce-11139

Machine Learning-Aided Sea Ice Monitoring Using Feature Sequences Extracted from Spaceborne GNSS-Reflectometry Data

Autoren: Yongchao Zhu Tingye Tao Kegen Yu et al.

Quelle: Remote Sensing, Vol 12, Iss 3751, p 3751 (2020)

Schlagwörter: Delay-Doppler Map (DDM), Global Navigation Satellite System-Reflectometry (GNSS-R), decision tree, random forest, sea ice monitoring, Science

Relation: https://www.mdpi.com/2072-4292/12/22/3751; https://doaj.org/toc/2072-4292; https://doaj.org/article/049099650a234f1e83fecf3f9dfd0523

Verfügbarkeit: https://doi.org/10.3390/rs12223751
https://doaj.org/article/049099650a234f1e83fecf3f9dfd0523

Separability of sea ice types from wide swath C- and L-band synthetic aperture radar imagery acquired during the melt season

Autoren: Adrienne Tivy J Alec Casey Christian Haas et al.

Quelle: Remote Sensing of Environment. 174:314-328

Schlagwörter: Surface processes, Arctic, 13. Climate action, Sea ice and snow, Operational sea ice monitoring, 0211 other engineering and technologies, Soil Science, Synthetic aperture radar, Geology, 02 engineering and technology, Computers in Earth Sciences, 01 natural sciences, 0105 earth and related environmental sciences

Zugangs-URL: https://www.sciencedirect.com/science/article/pii/S003442571530242X
http://ui.adsabs.harvard.edu/abs/2016RSEnv.174..314C/abstract
https://core.ac.uk/display/81944875
https://www.sciencedirect.com/science/article/abs/pii/S003442571530242X

Monitoring the Characteristics of the Bohai Sea Ice Using High-Resolution Geostationary Ocean Color Imager (GOCI) Data

Autoren: Yan, Yu Huang, Kaiyue Shao, Dongdong et al.

Weitere Verfasser: Yan, Yu Huang, Kaiyue Shao, Dongdong et al.

Schlagwörter: sea ice monitoring, geostationary ocean color imager, ocean remote sensing, Bohai Sea, SUSPENDED PARTICULATE MATTER, HARMFUL ALGAL BLOOM, EAST CHINA SEA, THICKNESS, MODIS, SATELLITE, CURRENTS, MODEL, VARIABILITY, SALINITY, Environmental sciences

Dateibeschreibung: application/pdf

Relation: This work was funded by the National Natural Science Foundation of China (41571510), the China Scholarship Council (CSC), and the Open Project Program of the Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education.; http://hdl.handle.net/10138/300124; 85060969602; 000458929500222

Verfügbarkeit: http://hdl.handle.net/10138/300124

Monitoring the Characteristics of the Bohai Sea Ice Using High-Resolution Geostationary Ocean Color Imager (GOCI) Data

Autoren: Yu Yan Kaiyue Huang Dongdong Shao et al.

Quelle: Sustainability, Vol 11, Iss 3, p 777 (2019)

Schlagwörter: sea ice monitoring, geostationary ocean color imager, ocean remote sensing, Bohai Sea, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350

Relation: https://www.mdpi.com/2071-1050/11/3/777; https://doaj.org/toc/2071-1050; https://doaj.org/article/1b9cf76b242d4fd59dca71400448cde0

Verfügbarkeit: https://doi.org/10.3390/su11030777
https://doaj.org/article/1b9cf76b242d4fd59dca71400448cde0

Spaceborne Synthetic Aperture Radar for Sea Ice Observations, Concentration and Dynamics

Autoren: Berg, Anders, 1983

Schlagwörter: synthetic aperture radar, interferometry, satellite, sea ice dynamics, sea ice monitoring, sea ice concentration

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/192831
http://publications.lib.chalmers.se/records/fulltext/192831/192831.pdf

Application of the HY-1 satellite to sea ice monitoring and forecasting

Autoren: Luo, YW Wu, HD Zhang, YF et al.

Weitere Verfasser: Luo, YW Wu, HD Zhang, YF et al.

Quelle: SCI

Schlagwörter: oceanic satellite, sea ice retrieval, sea ice monitoring and forecasting, CCD, COCTS

Relation: 999456; http://hdl.handle.net/20.500.11897/400232; WOS:000222415300006

Verfügbarkeit: https://hdl.handle.net/20.500.11897/400232