Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1109/IGARSS.2009.5418137 |
FOG FORECASTING, DETECTION AND MONITORING IN THE UAE USING SEVIRI-MSG DATA | |
Bushahab, Abdulla; Al Suwaidi, Ali; Ghedira, Hosni; Mubarak, Khaled | |
通讯作者 | Bushahab, Abdulla |
会议名称 | IEEE International Geoscience and Remote Sensing Symposium |
会议日期 | JUL 12-17, 2009 |
会议地点 | Cape Town, SOUTH AFRICA |
英文摘要 | The UAE location on the edge of a very warm sea and hot and dry desert create the optimal conditions of inland fog forming. The afternoon sea breeze, which is almost a daily event in UAE coastal areas, transports moisture inland, then at clear sky conditions at night, the large surrounding desert radiates heat very efficiently and temperatures fall quickly. The rapid cooling of accumulated inland moisture during the night represents the optimal conditions for fog development Fog detection and monitoring algorithms from remote sensing data have been developed during the last two decades. Retrieval of fog-related information from geostationary platforms has matured into applications at operational level in many national weather service programs in the USA, Europe and more recently in China. In this study, a satellite-based tool developed at EIAST for fog detection and monitoring in the UAE will be presented Data collected by SEVIRI Instrument onboard of the European Satellite Meteosat Second Generation (MSG) were the main source of spatial data The development approaches and the preliminary results will be presented and discussed in this paper. |
英文关键词 | UAE remote sensing fog detection METEOSAT SEVIRI |
来源出版物 | 2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5 |
ISSN | 2153-6996 |
出版年 | 2009 |
页码 | 786-+ |
ISBN | 978-1-4244-3394-0 |
出版者 | IEEE |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | U Arab Emirates |
收录类别 | CPCI-S |
WOS记录号 | WOS:000281054100199 |
WOS关键词 | FEASIBILITY ; METEOSAT ; STRATUS |
WOS类目 | Geosciences, Multidisciplinary ; Remote Sensing |
WOS研究方向 | Geology ; Remote Sensing |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/297549 |
作者单位 | Emirates Inst Adv Sci & Technol, DubaiSat Program 1, Dubai, U Arab Emirates |
推荐引用方式 GB/T 7714 | Bushahab, Abdulla,Al Suwaidi, Ali,Ghedira, Hosni,et al. FOG FORECASTING, DETECTION AND MONITORING IN THE UAE USING SEVIRI-MSG DATA[C]:IEEE,2009:786-+. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。