nach oben

Earth Science Informatics

Erschienen in:

23.08.2021 | Review Article

Research advances in remote sensing monitoring of sea ice in the Bohai sea

verfasst von: Shuai Yuan, Chengyu Liu, Xueqin Liu, Yuan Chen, Yujin Zhang

Erschienen in: Earth Science Informatics | Ausgabe 4/2021

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

As a key marine economic zone of China, human social and economic activities are very frequent in the Bohai Sea. The timely acquisition of sea ice parameters is of great significance for the prevention and mitigation of sea ice disasters, the utilization of sea ice re-sources, and the design of marine projects in the Bohai Sea. In current, the remote sensing technology has become the most dominant approach of sea ice monitoring. After years of development, sea ice monitoring of Bohai has formed its regional monitoring mode. On the basis of above, literatures related to remote sensing monitoring of sea ice in Bohai were searched and analyzed, and the research advances were summarized. Then the typical characteristics of remote sensing monitoring of sea ice in the Bohai Sea over the past 30 years are obtained. Based on the current status including diverse monitoring requirements, diverse remote sensing methods, and the development of remote sensing technologies, the future research work of sea ice remote sensing monitoring in the Bohai Sea is prospected, in order to provide some ideas for the follow-up research in this field.

Vorheriger Artikel A review of models for water level forecasting based on machine learning

Nächster Artikel Urban classification using preserved information of high dimensional textural features of Sentinel-1 images in Tabriz, Iran

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Allison I, Brandt RE, Warren SG (1993) East Antarctic sea ice: Albedo, thickness distribution, and snow cover. J Geophy Res: Oceans 98(C7):12417–12429CrossRef

Bian L, Wang J, Sun Y et al (2014) Sea ice drifting and atmospheric processes over the central Arctic Ocean. Acta Oceanol Sin 36(10):48–55 (in Chinese)

Cameron WL and Leung LK (1990). Feature motivated polarization scattering matrix decomposition IEEE 1990 International Radar Conference. Arlington: Institute of Electrical and Electronics Engineers.

Chen W, He H, Huang H et al (2014) Study on spatial and temporal distribution of sea ice using HJ-1 CCD data-a case study of liaodong bay in Bohai. China Safety Environ Eng 21(5):121–125 (in Chinese)

Chen Y, Liu R, Long H (2015) Change analysis of the spatio-temporal characters of sea ice in the Bohai sea based on MODIS Images. Bull Surv Mapp 9:83–86 (in Chinese)

Cloude SR (1995) An entropy based classification scheme for polarimetric SAR data. 1995 International Geoscience and Remote Sensing Symposium, IGARSS'95. Quantitative Remote Sensing for Science and Applications, Firenze, Italy, IEEE .

Cloude SR, Pottier E (1996) A review of target decomposition theorems in radar polarimetry. IEEE Trans Geosci Remote Sens 34(2):498–518CrossRef

Cloude SR, Pottier E (1997) An entropy based classification scheme for land applications of polarimetric SAR. IEEE Trans Geosci Remote Sens 35(1):68–78CrossRef

Cui Y (2020) Application of Convolutional Neural Network in Remote Sensing of Sea Ice Satellites in the Bohai Sea. Shanghai Ocean University, Shanghai, China (in Chinese)

Cui Y, Zou B, Han Z et al (2019) Feasibility analysis of convolutional neural networks in remote sensing sea ice classification. Marine Forecasts 36(5):77–85 (in Chinese)

Cui Y, Zou B, Han Z et al (2020) Application of convolutional neural networks in satellite remote sensing sea ice image classification: A case study of sea ice in the Bohai Sea. Haiyang Xuebao 42(9):100–109 (in Chinese)

Deng Z, Chi T (2014) Sea ice monitoring based on brightness temperature data of HJ satellite. Sci Surv Mapp 39(1):48–51 (in Chinese)

Deng Z, Chi T, Zhang X (2011) Comparative study of multi-method sea ice information extraction based on HJ satellite images. J Minjiang Univ 2:31 (in Chinese)

Deng J, Ke C, Lei R et al (2013) Monitoring the motion of Arctic sea-ice and its changes in summer and winter 2009. Chin J Polar Res 25(1):96–104 (in Chinese)CrossRef

Du B (1991) Research on aerial remote sensing technique of sea ice for the Bohai Sea. Marine Forecasts 8(2):10–21 (in Chinese)

Du B (1992) Monitorng and analysis of sea ice using aircraft synthetic aperture radar (SAR). Marine Forecasts 9(1):1–11 (in Chinese)

El Naggar S, Garrity C, Ramseier RO (1998) The modelling of sea ice melt-water ponds for the high Arctic using an airborne line scan camera, and applied to the Satellite Special Sensor Microwave/Imager (SSM/I). Int J Remote Sens 19(12):2373–2394CrossRef

Fabra F, Cardellach E, Rius A et al (2012) Phase Altimetry With Dual Polarization GNSS-R Over Sea Ice. IEEE Trans Geosci Remote Sens 50(6):2112–2121CrossRef

Fan X, Fei L, Bie J et al. (2011) An sea ice information extracting method based on Modis data. 2011 International Conference on Remote Sensing, Environment and Transportation Engineering, IEEE.

Ferraro RR, Weng F, Grody NC et al (1996) An eight-year (1987–1994) time series of rainfall, clouds, water vapor, snow cover, and sea ice derived from SSM/I measurements. Bull Am Meteor Soc 77(5):891–906CrossRef

Freeman A, Durden Stephen L (1998) A three-component scattering model for polarimetric SAR data. IEEE Trans Geosci Remote Sens 36(3):963–973CrossRef

Fung AK (1994) Microwave scattering and emission models and their applications. Artech House, Boston

Gao H, Yang D, Li W et al. (2016) Detection of sea ice based on BeiDou-reflected signals. 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing,China, IEEE.

Gong J (1988) Operational method of real-time monitoring sea ice by NOAA satellite. Remote Sens Inf 3(1):4–5 (in Chinese)

Gong J, Zang H (1988) Analysis of NOAA satellite images of sea ice. Remote Sens Inf 3(2):18–20 (in Chinese)

Gong S, Chen Z, Zhang X (2015). Extraction of drift direction and speed of sea ice of the Huanghai and Bohai Sea based on GOCI satellite 2015 International Industrial Informatics and Computer Engineering Conference. Xi'an, China: Atlantis Press

Grenfell TC (1983) A theoretical model of the optical properties of sea ice in the visible and near infrared. J Geophys Res: Oceans 88(C14):9723–9735CrossRef

Gu S, Shi P (2004) Estimation of sea ice resources in Liaodong Bay on decomposing mixed pixels. J Beijing Normal Univ (Natural Science). 40(3):411–416 (in Chinese)

Gu W, Lin Y, Xu Y et al (2012) Sea ice desalination under the force of gravity in low temperature environments. Desalination 295:11–15CrossRef

Gu W, Liu C, Yuan S et al (2013) Spatial distribution characteristics of sea-ice-hazard risk in Bohai. China Annals Glaciol 54(62):73–79CrossRef

Guo Y, Jiao M (2010) Using modis data to retrieve distribution of sea ice in bohai sea. J Huaihai Inst Technol (natural Science Edition) 19(1):84–86 (in Chinese)

Guo Q, Gu W, Li N et al (2007) Establishment and application of an information extraction system about the sea-ice area in the Bohai Sea. Marine Sci Bull-Tianjin-Chin Edition 26(3):105 ((in Chinese))

Guo Q, Gu W, Li J et al (2008a) Research on the sea-ice disaster risk in Bohai Sea based on the remote sensing. J Catastrophol 23(2):10–14 (in Chinese)

Guo Q, Gu W, Sun C et al (2008b) Study on the revised model for extraction of sea-ice area in the Bohai Sea based on remote sensing data. Mar Sci Bull 32(8):70–75 (in Chinese)

Guo H and Xie H (2010) Application of MODIS data to monitor sea ice in bohai sea. 2010 Second IITA International Conference on Geoscience and Remote Sensing, Qingdao,China, Institute of Electrical and Electronics Engineers.

Guo Y, Xie H, Yang G (2014) Variation analysis of sea ice in the Bohai Sea in 2012 based on MODIS. Marine Sci/haiyang Kexue 38(6):60–64 (in Chinese)

Hall DK, Riggs GA, Salomonson VV et al. (2001) Algorithm theoretical basis document (ATBD) for the MODIS snow and sea ice-mapping algorithms. Nasa Gsfc, 45.

Han S, Li Z, Sun Z (2005) Observational study Of MODIS data on sea ice of China’s Bohai sea. J Scientia Meteorologica Sinica 25(6):624–628 (in Chinese)

Han Y, Li J, Zhang Y et al (2017) Sea ice detection based on an improved similarity measurement method using hyperspectral data. Sensors 17(5):1124CrossRef

Han Y, Gao Y, Zhang Y et al. (2019) Hyperspectral sea ice image classification based on the spectral-spatial-joint feature with deep learning. Remote Sensing, 11(18): 2170–1–2710–23.

Han Y, Wei C, Zhou R et al (2020) Combining 3D-CNN and squeeze-and-excitation networks for remote sensing sea ice image classification. Math Probl Eng 7:8065396-1-8065396–15

Hang S (2019) Sea ice thickness detection using BeiDou-R signal and analysis of sea surface roughness. Shanghai Ocean University, Shanghai, China (in Chinese)

Hong S (2018) Composited Classification Research Based on Multi-resolution SAR Images of Sea Ice. Dalian Maritime University, Dalian, China (in Chinese)

Hou H, Li J, Mi X et al (2014) Sea ice monitoring by ZY-3 Satellite. Remote Sens Inf 29(6):36–40 (in Chinese)

Huang R, Wang Q, Jin Z (1991) Satellite remote sensing operational system for monitoring of bohai sea ice. Marine Forecasts 8(3):57–63 (in Chinese)

Ji Y (2006) Ice typical features retrieval in Liaodong Bay based on microwave remote sensing imagery. Graduate University of Chinese Academy of Sciences, Beijing, China (in Chinese)

Ji S, Yue Q (2011) Engineering sea ice-the numerical model and its application. Science Press, Beijing, China (in Chinese)

Ji Y, Zhang J, Meng J et al (2007) ABMR ice thickness model and its application to Bohai Sea in China. Progress in Electromagnetics Research-Pier 76:183–194CrossRef

Ji S, Wang A, Wang Y et al. (2011) A digital image technology and its application for the sea ice field observation in the Bohai Sea. Acta Oceanologica Sinica, 4 (in Chinese).

Ji Y, Dierking W, Simila M et al. (2013) Application of Envisat ASAR Data on Sea Ice Detection and Classification in Bohai Sea and Comparison to other Ice Regimes. Dragon 2 Final Results and Dragon 3 Kickoff Symposium, ESA SP (in Chinese).

Jiang Z, Wen L (1987) The application of NOAA satellite image in the measurement of sea ice parameters in the Bohai Sea. J Waterw Harb 8(2):1–7 (in Chinese)

Jiao H (2018) Information Extraction of the Bohai Sea Ice Based on Landsat-8 Data and MODIS Data. Geomatics Spatial Inf Technol 5:17 (in Chinese)

Jin Y (1998a) Monitoring regional sea ice of China’s Bohai Sea by SSM/I scattering indexes. IEEE J Oceanic Eng 23(2):141–144CrossRef

Jin Y (1998b) Monitoring regional sea ice of the Bohai Seaby SSM/I scattering indices. Acta Oceanol Sin 20(3):40–46 (in Chinese)

Jin Y, Chen Y, Zhang W et al (2001) Observations of Radarsat SAR and DMSP SSM/I over sea ice of China’s Bohai Sea. Chin J Geophys 44(2):163–170 (in Chinese)

Karvonen J, Shi L, Cheng B et al (2017) Bohai Sea Ice Parameter Estimation Based on Thermodynamic Ice Model and Earth Observation Data. Remote Sensing 9(3):234CrossRef

Ke F, Chen F, Cao Y (2015). The study on ocean ice intensity surveyed by GNSS-R signal on the coast China Satellite Navigation Conference 2015. Xi'an: Springer.

Krogager E (1990) New decomposition of the radar target scattering matrix. Electron Lett 26(18):1525–1527CrossRef

Kwok R and Cunningham GF (2008) ICESat over Arctic sea ice: Estimation of snow depth and ice thickness. Journal of Geophysical Research, 113: C08010–08011-C08010–08011–08017.

Lang W, Wu Q, Zhang X et al (2014) Sea ice drift tracking in the Bohai Sea using geostationary ocean color imagery. J Appl Remote Sens 8(1):083650–083650 (in Chinese)

Li Y (2013) The Retrieval, Assimilation, Pentadly Averaged Time Series Building and Analysis of Sea Ice in the Bohai Sea Using the Visible Remote Sensing Data. Ocean University of China, Qingdao, China ((in Chinese))

Li Y (2020) Research on sea ice detection method based on the decomposition of mixed pixels. Wuhan University, Wuhan, China (in Chinese)

Li Y, Yang D (2020) Extraction of Bohai Sea ice from MODIS data based on multi-constraint endmembers and linear spectral unmixing. Int J Remote Sens 41(14):5525–5548CrossRef

Li Z, Lu P, Sodhi DS (2004) Ice engineering sub-areas in Bohai from ice physical and mechanical parameters. Adv Water Sci 15(5):598–602 (in Chinese)

Li B, Hou Y, Sun C et al. (2013). The application of "Beijing No. 1" satellite monitoring sea ice images in the Bohai Sea. Acta Oceanologica Sinica. 35(4): 201–207 (in Chinese)

Liang S, Shuey CJ, Russ AL et al (2003) Narrowband to broadband conversions of land surface albedo: II. Validation Remote Sensing Environ 84(1):25–41CrossRef

Liu Y (2009) Research of sea ice detecting based on image method. Dalian University of Technology, Dalian, China (in Chinese)

Liu Z (1985) Airborne remote sensing experiment of sea ice in Bohai Sea for the first time in China. Marine Forecasts 2(1):85 (in Chinese)

Liu Z (2014) A research on Bohai Sea ice retrieval algorithm and its relationship with the North Pacific Sea surface temperature. Ocean University of China, Qingdao, China (in Chinese)

Liu M (2016) Research on the Sea Ice Classification and Thickness Detection with High-resolution and Polarimetric SAR Data. Dongying,China: China University of Petroleum (East China) (in Chinese).

Liu W (2016) Research on Sea-ice Parameters Retrieval Based on Active and Passive Remote Sensing Data in the Bohai Sea. Dongying,China: China University of Petroleum (East China) (in Chinese).

Liu J, Huang R, Jin Z et al (2000) Bohai sea ice monitoring using satellite images. J Cold Regions Eng 14(2):93–100CrossRef

Liu C, Gu W, Chao J et al (2013a) Spatio-temporal characteristics of the sea-ice volume of the Bohai Sea, China, in winter 2009/10. Ann Glaciol 54(62):97–104CrossRef

Liu C, Gu W, Li L et al (2013b) Sea ice monitoring for the Bohai Sea based on the Hyperion image. Mar Sci Bull 32:200–207 (in Chinese)

Liu Z, Su J, Shi X et al (2014) Study on the multi-band retrieval algorithm for the Bohai Sea ice concentration using AVHRR data. Acta Oceanol Sin 36(11):74–84

Liu C, Chao J, Gu W et al (2015) Estimation of sea ice thickness in the Bohai Sea using a combination of VIS/NIR and SAR images. Giscience Remote Sens 52(2):115–130CrossRef

Liu W, Sheng H, Zhang X (2016) Sea ice thickness estimation in the Bohai Sea using geostationary ocean color imager data. Acta Oceanol Sin 35(7):105–112CrossRef

Liu X, Yuan S, Shi W et al (2017) Design of the video-based monitoring and analysis system of sea ice to nuclear power projects in sea ice region. Marine Environ Sci/haiyang Huanjing Kexue 36(5):791–795 (in Chinese)

Luo Z and Song Q (2010). Sea ice remote sensing in the Bohai Sea 2010 Internationall Conference on Remote Sensing. Hangzhou,China: Institute of Electrical and Electronics Engineers.

Luo Z, Sun L (2012) Study on Bohai seaice monitoring based on hyperspectral remote sensing imagery. Sci Surv Mapp 37(1):54–55 (in Chinese)

Luo Y, Wu H, Zhang Y, Yun et al (2004) Application of the HY-1 satellite to sea ice monitoring and forecasting. Acta Oceanol Sin 23(2):251–266 (in Chinese)

Luo Y, Zhang Y, Sun C et al (2005) Application of the “HY-1” satellite to seaice monitoring and forecasting. Acta Oceanol Sin 27(1):7–18 (in Chinese)

Lv H (2018) A frequency-space combined sea ice drift tracking algorithm using SAR image from different sources. Dalian Maritime University, Dalian (in Chinese)

Markus T, Burns BA (1995) A method to estimate subpixel-scale coastal polynyas with satellite passive microwave data. J Geophys Res: Oceans 100(C3):4473–4487CrossRef

Maykut GA (1978) Energy exchange over young sea ice in the central Arctic. J Geophys Res 83:3646–3658CrossRef

Maykut GA (1982) Large-scale heat exchange and ice production in the central Arctic. J Geophys Res 87:7971–7984CrossRef

Meng W (2016) Research on detection of sea ice using GNSS reflected signals. Shanghai Ocean University, Shanghai (in Chinese)

Meng S, Li X, Kong Y et al (2012) The application of HJ-1A/1B CCD data on sea ice monitoring of harbor. Remote Sensing Inf 27(5):102–106 (in Chinese)

Meng W, Qin J, Zhang Y et al (2018) Study on sea ice detection technology based on Beidou GEO satellite reflected signals. Aerospace Shanghai 35(2):91–96 (in Chinese)

MNR (2021) National Marine Economic Statistics Bulletin 2020. Beijing, China: Ministry of Natural Resources (in Chinese).

Nghiem SV, Kwok R, Yueh SH et al (1995) Polarimetric signatures of sea ice: 1. Theoretical model. J Geophys Res 100:13665–13679CrossRef

Ning L, Xie F, Gu W et al (2009) Using remote sensing to estimate sea ice thickness in the Bohai Sea, China based on ice type. Int J Remote Sens 30(17):4539–4552CrossRef

Ochilov S, Clausi DA (2012) Operational SAR sea-ice image classification. IEEE Trans Geosci Remote Sens 50(11):4397–4408CrossRef

Pan S (2008) Application Study in Monitoring the Bohai Sea Ice by Satellite Data of EOS/MODIS. Lanzhou University, Lanzhou (in Chinese)

Qin P, Cui T, Mu B et al. (2014) Estimation of Sea Ice Thickness in the Bohai Sea Based on MERIS Data. Dragon 3Mid Term Results, Chengdu, China, ESA.

Rampal P, Weiss J, Marsan D et al. (2008) Scaling properties of sea ice deformation from buoy dispersion analysis. Journal of Geophysical Research, 113.

Rampal P, Weiss J, Marsan D (2009) Positive trend in the mean speed and deformation rate of Arctic sea ice, 1979–2007. Journal of Geophysical Research, 114.

Ren Z (2012) Research and application of sea ice detection technology based on decision tree algorithm in remote sensing image. Qingdao University, Qingdao, China (in Chinese)

Ren Z, Shao F, Wang C et al. (2012) Sea ice detection using MODIS images based on data mining. Journal of Qingdao University(Engineering & Technology edition), 27(2): 1–5.

SAPRC (2006) Seashore observation code. Standardization Administration of the People’s Republic of China, Beijing, China (in Chinese)

Shi W and Wang M (2010) Sea ice optical properties in the Bohai Sea measured by MODIS-Aqua. Remote Sensing of the Coastal Ocean, Land, and Atmosphere Environment, International Society for Optics and Photonics.

Shi W, Wang M (2012a) Sea ice properties in the Bohai Sea measured by MODIS-Aqua: 1. Satellite algorithm development. J Mar Syst 95:32–40CrossRef

Shi W, Wang M (2012b) Sea ice properties in the Bohai Sea measured by MODIS-Aqua: 2. Study of sea ice seasonal and interannual variability. J Mar Syst 95:41–49CrossRef

Shi P, Fan Y, Ha S et al (2002) Calculating gross sea ice resource using AVHRR and MODIS data. J Nat Resour 17(2):138–143 (in Chinese)

Shi P, Gu W, Xie F et al (2003) Spatial characteristics of sea ice resources of Liaodong Gulf in winter. Resources Science 25:17–23 (in Chinese)

Shi J, Guo J, Zheng T et al (2012) Monitoring sea ice based on NOAA/AVHRR data. San Diego, California, International Society for Optics and Photonics, Earth Observing Systems XVIICrossRef

Shi L, Karvonen J, Cheng B et al. (2014). Sea ice thickness retrieval from SAR imagery over Bohai sea 2014 IEEE Geoscience and Remote Sensing Symposium. Quebec: IEEE.

Shi L, Zeng T, Mäkynen M et al. (2016). Sea ice thickness retrieval with MODIS thermal infrared data over the Liaodong Bay during winter 2012–2013 2016 IEEE International Geoscience and Remote Sensing Symposium. Beijing, China: IEEE: 4857–4860.

Shirataki, (1985) Physical oceanography. Science Press, Beijing, China

Song L, Shi W, Wang Z et al (2018) Real time monitoring system for sea ice based on GPS and its application. J Glaciol Geocryol 40(5):960–965 (in Chinese)

Su H and Wang Y (2012) Using MODIS data to estimate sea ice thickness in the Bohai Sea (China) in the 2009–2010 winter. Journal of Geophysical Research: Oceans, 117(C10).

Su J, Fei L, Fan X et al (1997) A study on analysis and application technique of sea ice satellite remote data. Mar Sci Bull 16(1):56–66 (in Chinese)

Su H and Wang Y (2012) Estimating sea ice thickness using MODIS data: a case study in the Bohai Sea, China. 2012 Second International Workshop on Earth Observation and Remote Sensing Applications, Shanghai,China, IEEE.

Su H, Wang Y, Yang J (2012b) Monitoring the spatiotemporal evolution of sea ice in the Bohai Sea in the 2009–2010 winter combining MODIS and meteorological data. Estuaries Coasts 35(1):281–291CrossRef

Su H, Wang Y, Xiao J et al (2015) Classification of MODIS images combining surface temperature and texture features using the Support Vector Machine method for estimation of the extent of sea ice in the frozen Bohai Bay. China Int J Remote Sensing 36(10):2734–2750CrossRef

Su H, Ji B, Wang Y (2019) Sea ice extent detection in the Bohai Sea using Sentinel-3 OLCI data[J]. Remote Sensing 11(20):2436CrossRef

Sun Y (1999) A radar monitoring system for surveying sea ice and wave. Marine Forecasts 16(3):57–61 (in Chinese)

Sun B (2020) PolSAR sea ice types extraction method based on feature fusion. Shandong University of Science and Technology, Qingdao, China (in Chinese)

Sun H, Sun Y, Wang P (2003) Measurement of ice drift based on cross-correlation of radar images. Acta Oceanol Sin 25(4):135–142 (in Chinese)

Tan J and Shao M (2006). Application of CCD in monitoring sea ice in Liaodong Bay 2006 China Dalian International Maritime Forum. Dalian,China: Dalian Maritime Universisty Press: 275–278 (in Chinese).

Tong M, Du B, Yuan X (1985) An experiment of airborne remote sensing of sea ice in the Bohai Sea. Ocean Technology, 4 (in Chinese).

Wang N (2009) Sea ice important parameter extraction technology and detection system based on MODIS data Bohai Sea. Ocean University of China, Qingdao (in Chinese)

Wang Z (2016) Research on classification technology of HJ-1 image sea ice based on fuzzy decision tree. Qingdao University of Science and Technology, Qingdao (in Chinese)

Wang C (2017) Study on sea ice drift tracking based on SAR images of C and L bands. Dalian Maritime University, Dalian, China (in Chinese)

Wang W, Gao Q (2020) Retrieval of sea ice thickness from the reflected signal of a satellite navigation system. Int J Remote Sens 41(18):6877–6891CrossRef

Wang N, Ji Y, Zhang X et al (2011a) The design of Bohai Sea ice detection system based on the MODIS images of remote sensing. Marine Forecasts 28(1):33–38 (in Chinese)

Wang N, Zhang X, Ji Y et al (2011b) A method of MODIS sea ice edge extraction based on agglomerative hierarchical clustering method. J Geo Inf Sci 13(2):266–272 (in Chinese)

Wang M, Wu S, Zheng W et al (2016) Temporal-spatial distribution of Bohai Sea sea-ice in long-time series and its correlation with air temperature. Meteorological Monthly 42(10):1237–1244 ((in Chinese))

Wang Z, Zhang X, Wang S (2018) Monitoring the freeboard of the drift ice in the Bohai Sea using the Cross-InSAR technique with high-resolution TSX/TDX data. Bull Surv Mapp. 7:58–61 (in Chinese)

Wang S, Wang Z, Wang L (2019) Study of sea ice classification of landsat-8 and sentinel-1 A in Liaodong Bay. Beijing Surv Mapp 33(12):1486–1492 (in Chinese)

Wang R, Huang D, Zhang X et al (2020a) Combined pattern matching and feature tracking for Bohai Sea ice drift detection using Gaofen-4 imagery. Int J Remote Sens 41(19):7486–7508CrossRef

Wang Z, Sun P, Liu J (2020b) A sea ice classification method of ploarimetric SAR data by multi-feature combination. Remote Sensing Inf 35(4):23–30 (in Chinese)

Wei P (2019) Sea ice drift tracking in the Bohai Sea based on GF-4 satellite. Shandong University of Science and Technology, Qingdao, China (in Chinese)

Wu Q (2014) Sea ice drift tracking in the Bohai Sea based on GOCI. Hefei University of Technology, Hefei (in Chinese)

Wu J (2018) Application of measured spectra and Euclidean distance in GF2 satellite sea ice extraction. Remote Sensing Technol Appl 24(1):73–76 (in Chinese)

Wu K, Xu Y, Hao Y (2005) Application in sea ice remote sensing of MODIS data. Marine Forecasts 22(S1):44–49 (in Chinese)

Wu L, Wu H, Sun L (2006) Retrieval of sea ice in the Bohai Sea from MODIS data. Periodical Ocean Univ China 36(2):173–179 (in Chinese)

Wu J, Zhang Y, Feng R et al (2009) Based on MODIS Sea Ice Area Remote Sensing Monitor and| Correlation Analysis with Temperature. Remote Sensing Technol Appl 24(1):73–76 (in Chinese)

Xie F, Gu W, Yuan Y et al (2003) Estimation of sea ice resources in Liaodong gulf using remote sensing. Resources Science 25(3):17–23 (in Chinese)

Xie F, Gu W, Ha S et al (2006) An experimental study on the spectral characteristics of one year-old sea ice in the Bohai Sea. China Int J Remote Sensing 27(14):3057–3063CrossRef

Xu W, Xu Y, Tian L (2020) Analysis of spatiotemporal variation of sea ice in Hebei offshore waters by satellite remote sensing monitoring. Marine Environ Sci 39(2):277–282 (in Chinese)

Yan Y, Shao D, Gu W et al (2017) Multidecadal anomalies of Bohai Sea ice cover and potential climate driving factors during 1988–2015. Environ Res Letters. 12(9):094014CrossRef

Yan Y, Huang K, Shao D et al. (2019) Monitoring the characteristics of the Bohai Sea ice using high-resolution geostationary ocean color imager (GOCI) data. Sustainability. 11(3): 777–1–777–17.

Yang C, Xu Y (2015) Retrieval and mutation analysis of sea ice information based on remote sensing. J Green Sci Technol 9:6–9 (in Chinese)

Ye W and Song W (2018) The application of remote sensing image sea ice monitoring method in Bohai Bay based on C4. 5 decision tree algorithm. IOP Conference Series: Earth and Environmental Science, Harbin,China, IOP Publishing.

Yu Z, Wang T, Zhang X et al (2019) Locality preserving fusion of multi-source images for sea-ice classification. Acta Oceanol Sin 38(7):129–136CrossRef

Yuan S (2009) Temporal and spatial distribution of sea ice resources and its response to climate change in the Bohai Sea. Beijing Normal University, Beijing, China (in Chinese)

Yuan S, Gu W, Xu Y et al (2012) The estimate of sea ice resources quantity in the Bohai Sea based on NOAA/AVHRR data. Acta Oceanol Sin 31(1):33–40CrossRef

Yuan S, Shi W, Liu X et al (2015) Ice type extraction of rough ice in the eastern coast of Liaodong Bay with shore-based radar. Nat Hazards 76(2):1263–1273CrossRef

Yuan S, Gu W, Liu C et al (2017a) Towards a semi-empirical model of the sea ice thickness based on hyperspectral remote sensing in the Bohai Sea. Acta Oceanol Sin 36(1):80–89CrossRef

Yuan S, Liu Y, Liu X et al (2017b) Basic characteristics of sea ice in the Bayuquan region based on the data of shore-based radar. Mar Sci Bull 36(5):528–531 (in Chinese)

Yuan S, Liu C, Liu X (2018) Practical model of sea ice thickness of Bohai Sea based on MODIS data. Chin Geogra Sci 28(5):863–872CrossRef

Zeng T, Shi L, Marko M et al (2016) Sea ice thickness analyses for the Bohai Sea using MODIS thermal infrared imagery. Acta Oceanol Sin 35(7):96–104CrossRef

Zhang X (2011) Research on sea ice thickness detection by polarimetric SAR in Bohai Sea. Ocean University of China, Qingdao, China (in Chinese)

Zhang X (2014) Method of sea ice tracking and recognition based on image processing. Dalian University of Technology, Dalian (in Chinese)

Zhang B (2019) The study of sea ice variation in Bohai sea based on radar altimeter data. Dalian Ocean University, Dalian, China (in Chinese)

Zhang S, Lan Z (2019) Satellite remote sensing images-based parameters inversion and spatial distribution characteristics analysis of sea ice in the Liaodong Bay. China Offshore Oil Gas 31(4):147–153 (in Chinese)

Zhang N, Zhang Q (2014) Retrieval of the sea ice area from MODIS data by CART decision tree method. Mar Sci Bull 33(3):321–327 (in Chinese)

Zhang X, zhang J, Meng J, et al (2013a) Polarimetric scattering characteristics based sea ice types classification by polarimetric synthetic aperture radar: taking sea ice in the Bohai Sea for example. Haiyang Xuebao 35(5):95–101 (in Chinese)

Zhang Y, Guo J, Yuan G et al (2013b) Sea ice stuy based on GNSS-R signal. GNSS World of China 38(2):1–6 (in Chinese)

Zhang Y, Meng W, Gu Q et al (2014a) Detection of Bohai Bay sea ice using GPS-reflected signals. IEEE J Selected Topics in Appl Earth Observations and Remote Sensing 8(1):39–46

Zhang Y, Meng W, Gu Q et al (2014b) Bohai sea ice experiment using GPS reflected signals. Acta Oceanol Sin 36(11):64–73 (in Chinese)CrossRef

Zhang X, Dierking W, Zhang J et al (2015) A Polarimetric Decomposition Method for Ice in the Bohai Sea Using C-Band PolSAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8(1):47–66CrossRef

Zhang Y, Xie X, Meng W et al (2017) Bohai coastal sea ice detection using BeiDou GEO satellite reflected signals. J Beijing Univ Aeronautics Astronautics 44(2):257–263 (in Chinese)

Zhanying L (1985) Airborne remote sensing experiment of sea ice in Bohai Sea for the first time in China. Marine Forecasts 2(1):85 (in Chinese)

Zhao Z (2019) Automatic segmentation of SAR ice water in wide observation band with incident angle perception. Hefei, China: Hefei University of Technology (in Chinese).

Zhao Y, Zhao H (2008) Monitoring sea ice in Laizhou Bay using satellite remote sensing data. J Shandong Meteorol 28(3):32–34 (in Chinese)

Zheng X, Zhao C, Liu C et al (1992) Extraction of sea ice quantitative parameters from meteorological satellite data. China Offshore Oil and Gas (engineering) 4(6):40–46 (in Chinese)

Zheng X, Qiu K, Lu F (1998) Quantitative calculation of sea ice over the Bohai Sea using NOAA/AVHRR imagery. Quarterly J Appl Meteorol 9(3):359–363

Zheng X, Qiu K, Lu F (2001). Quantitative calculation of sea ice parameters over the Bohai Sea using remote sensing imagery Conference on Remote Sensing Inversion and Application of Meteorological Satellite. Fuzhou, China: Chinese Meteorological Society.

Zheng G, Bai J, Zhang S et al. (2014) Bohai bay sea ice monitoring based on the HJ satellite images. 2014 7th International Congress on Image and Signal Processing, Dalian, China, Institute of Electrical and Electronics Engineers.

Zhou H, Yu W, Zhang Y et al. (2010) Using HJ 1-A/B satellite imagery for near-shore sea ice monitoring in the nanpu-caofeidian area, Bohai Bay, China. 2010 IEEE International Geoscience and Remote Sensing Symposium, IEEE.

Zhou B, Zhang Z, Yu H (2013) The applied research of Bohai Sea ice trends and characters based on the EOS/MODIS remote sensing data. Environ Monitoring Forewarning 1:7 (in Chinese)

Zhou Y, Song J, Zheng W (2014) The analysis for the weather environment and the ice conditions on the Huang-Bohai Waters in the severe freezing period Second Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions. Atlantis Press, Haikou, China

Zhu Y, Cheng Z (2015) Analysis on the sea ice monitoring in china’s Bohai Sea with FY-2C multi-spectral data. J Ocean Technol 34(6):6–12 (in Chinese)

Zhu Q, Liu L, Sui H et al. (2010). The application of MODIS and GIS in Bohai Sea Ice Monitoring National Satellite Application Technology Conference. Beijing: China meteorological administration: 248–252 (in Chinese).

Zhu H, Feng Q, Zeng T et al. (2012) Design and Research on Bohai Sea ice monitoring system based on SAR. Remote Sensing Information. 50(6): 81–84, 95 (in Chinese).

Titel: Research advances in remote sensing monitoring of sea ice in the Bohai sea
verfasst von: Shuai Yuan
Chengyu Liu
Xueqin Liu
Yuan Chen
Yujin Zhang
Publikationsdatum: 23.08.2021
Verlag: Springer Berlin Heidelberg
Erschienen in: Earth Science Informatics / Ausgabe 4/2021
Print ISSN: 1865-0473
Elektronische ISSN: 1865-0481
DOI: https://doi.org/10.1007/s12145-021-00683-6

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 4/2021

What are the dominant influencing factors on the soil erosion evolution process in the Yellow River Basin?

Unmanned aerial vehicle (UAV) remote sensing estimation of wheat chlorophyll in subsidence area of coal mine with high phreatic level

An efficient correlation based adaptive LASSO regression method for air quality index prediction

Prediction of channel sinuosity in perennial rivers using Bayesian Mutual Information theory and support vector regression coupled with meta-heuristic algorithms

A comparative analysis of different pixel and object-based classification algorithms using multi-source high spatial resolution satellite data for LULC mapping

The copper grade estimation of porphyry deposits using machine learning algorithms and Henry gas solubility optimization

Premium Partner