Next Article in Journal
Built-up Area Extraction from PolSAR Imagery with Model-Based Decomposition and Polarimetric Coherence
Next Article in Special Issue
Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection
Previous Article in Journal
Three-Dimensional Body and Centre of Mass Kinematics in Alpine Ski Racing Using Differential GNSS and Inertial Sensors
Previous Article in Special Issue
Geostatistical and Statistical Classification of Sea-Ice Properties and Provinces from SAR Data
Open AccessArticle

Polar Sea Ice Monitoring Using HY-2A Scatterometer Measurements

1
Department of Marine Technology, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
2
Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
3
National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China
4
Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration, Beijing 100081, China
*
Authors to whom correspondence should be addressed.
Academic Editors: Walt Meier, Mark Tschudi, Xiaofeng Li and Prasad S. Thenkabail
Remote Sens. 2016, 8(8), 688; https://doi.org/10.3390/rs8080688
Received: 25 April 2016 / Revised: 4 August 2016 / Accepted: 17 August 2016 / Published: 22 August 2016
(This article belongs to the Special Issue Sea Ice Remote Sensing and Analysis)
A sea ice detection algorithm based on Fisher’s linear discriminant analysis is developed to segment sea ice and open water for the Ku-band scatterometer onboard the China’s Hai Yang 2A Satellite (HY-2A/SCAT). Residual classification errors are reduced through image erosion/dilation techniques and sea ice growth/retreat constraint methods. The arctic sea-ice-type classification is estimated via a time-dependent threshold derived from the annual backscatter trends based on previous HY-2A/SCAT derived sea ice extent. The extent and edge of the sea ice obtained in this study is compared with the Special Sensor Microwave Imager/Sounder (SSMIS) sea ice concentration data and the Sentinel-1 SAR imagery for verification, respectively. Meanwhile, the classified sea ice type is compared with a multi-sensor sea ice type product based on data from the Advanced Scatterometer (ASCAT) and SSMIS. Results show that HY-2A/SCAT is powerful in providing sea ice extent and type information, while differences in the sensitivities of active/passive products are found. In addition, HY-2A/SCAT derived sea ice products are also proved to be valuable complements for existing polar sea ice data products. View Full-Text
Keywords: HY-2A/SCAT; sea ice extent; sea ice type; Arctic; Antarctic HY-2A/SCAT; sea ice extent; sea ice type; Arctic; Antarctic
Show Figures

Graphical abstract

MDPI and ACS Style

Li, M.; Zhao, C.; Zhao, Y.; Wang, Z.; Shi, L. Polar Sea Ice Monitoring Using HY-2A Scatterometer Measurements. Remote Sens. 2016, 8, 688. https://doi.org/10.3390/rs8080688

AMA Style

Li M, Zhao C, Zhao Y, Wang Z, Shi L. Polar Sea Ice Monitoring Using HY-2A Scatterometer Measurements. Remote Sensing. 2016; 8(8):688. https://doi.org/10.3390/rs8080688

Chicago/Turabian Style

Li, Mingming; Zhao, Chaofang; Zhao, Yong; Wang, Zhixiong; Shi, Lijian. 2016. "Polar Sea Ice Monitoring Using HY-2A Scatterometer Measurements" Remote Sens. 8, no. 8: 688. https://doi.org/10.3390/rs8080688

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop