| contributor author | Li Zhao | |
| contributor author | Tao Xie | |
| contributor author | William Perrie | |
| contributor author | Ming Ma | |
| contributor author | Jingsong Yang | |
| contributor author | Chengzu Bai | |
| contributor author | Rick Danielson | |
| date accessioned | 2023-04-12T18:28:42Z | |
| date available | 2023-04-12T18:28:42Z | |
| date copyright | 2022/11/30 | |
| date issued | 2022 | |
| identifier other | JTECH-D-22-0009.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4289734 | |
| description abstract | Sea surface temperature (SST) fronts are important for fisheries and marine ecology, as well as upper-ocean dynamics, weather forecasting, and climate monitoring. In this paper, we propose a new approach to detect SST fronts from | |
| publisher | American Meteorological Society | |
| title | Detection of Sea Surface Temperature Fronts from SAR Images | |
| type | Journal Paper | |
| journal volume | 39 | |
| journal issue | 12 | |
| journal title | Journal of Atmospheric and Oceanic Technology | |
| identifier doi | 10.1175/JTECH-D-22-0009.1 | |
| journal fristpage | 1919 | |
| journal lastpage | 1926 | |
| page | 1919–1926 | |
| tree | Journal of Atmospheric and Oceanic Technology:;2022:;volume( 039 ):;issue: 012 | |
| contenttype | Fulltext | |