Open AccessWind direction retrieval of tropical cyclone from SAR imagery using improved local gradient method
Author(s) -
Yan Wang,
Gang Zheng,
Lei Zhou,
Zhou Qiu,
Xiaohui Li,
Yinfei Zhou
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/569/1/012055
Subject(s) - typhoon , tropical cyclone , meteorology , environmental science , tropical cyclone scales , wind speed , storm , maximum sustained wind , sea surface temperature , remote sensing , wind direction , climatology , cyclone (programming language) , geology , geography , computer science , wind gradient , field programmable gate array , computer hardware
Tropical cyclones (TCs) have caused heavy losses of human life and property. Hence, it is necessary to study TC. Additionally, the retrieval of wind direction is an important part among many researches of TC. Fortunately, Typhoon Iselle, Typhoon Nuri, and Tropical Storm Haima were captured by RADARSAT-2, Typhoon Hermine, Tropical Storm Harvey, and Super Typhoon Jose were captured by Sentinel-1A. In this paper, the wind directions of the six TCs are retrieved from SAR images by improved local gradient (ILG) method. The results show that the sea surface wind directions retrieved by ILG method have good correlation with the texture of the six TCs, respectively. This research is helpful for estimating wind speeds and constructing wind field of a TC.