Arid
DOI10.1109/IGARSS.2009.5417524
DEVELOPING A NEW AUTOMATED TOOL FOR DETECTING AND MONITORING DUST AND SAND STORMS USING MODIS AND METEOSAT SEVIRI-MSG DATA
Ghedira, Hosni1; Al Rais, Adnan2; Al Suwaidi, Ali2
通讯作者Ghedira, Hosni
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

In the last three decades, significant advances have been made in mapping and monitoring environmental changes from Earth Observation satellites across a range of spatial and temporal scales. For example, with the actual Earth observation satellites, we can observe large areas rather than sparse points and provide unique information about properties of the surface or shallow layers of the earth Indeed, the extent of many environmental and meteorological events such as vegetation stress, fogs, sandstorms and droughts cannot be captured by ground measurements alone making remote sensing an indispensable tool in environmental monitoring. The harsh nature of sub-African region makes ground-based monitoring and mapping of their local environment difficult and expensive However, in contrast with their appearing harsh nature, arid desert areas tend to be fragile ecosystems where little climate perturbations may cause tremendous changes in their landscapes. Additionally, due to their low precipitation rates, arid regions are the world's major source of atmospheric dust that has an impact on local, regional and global climate. This paper will present an overview of current tools used for dust and sandstorm monitoring over bright-reflecting surfaces. An overview of current and potential applications of remote sensing in sub-African countries as well as the challenges that may be faced will also be presented.


英文关键词Meteosat MODIS Sandstorms NASA-Geovanni tool
来源出版物2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5
ISSN2153-6996
出版年2009
页码3285-+
ISBN978-1-4244-3394-0
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:000281054102097
WOS关键词TROPOSPHERIC AEROSOLS ; LAND
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/2XILL650/297533
作者单位1.Amer Univ Dubai, Dubai, U Arab Emirates;
2.EIAST, DubaiSat Program 1, Dubai, U Arab Emirates
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Ghedira, Hosni,Al Rais, Adnan,Al Suwaidi, Ali. DEVELOPING A NEW AUTOMATED TOOL FOR DETECTING AND MONITORING DUST AND SAND STORMS USING MODIS AND METEOSAT SEVIRI-MSG DATA[C]:IEEE,2009:3285-+.
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