Capability of Using Remote Sensing Data to Study of Sandstorm, Flood and Heavy Rainfall

Annually, climate hazard in Iran leave financial and man loss. According to this, acquaintance and asses this hazards include high importance in order to reduce its effects. Regarding to the vast geographical extension of Iran and unsuitable dispense of land sensing stations, access and gathering land hazards data had encountered many problems and difficulties. Today, developing technology of remote sensing, there have been made great opportunities in gathering and assess hazards. In this research, dust storms hazard in July 1, 2nd 2008 in Khuzestan, flood in Feb 11, 2005 in Chabahar and Gono in 6 Jon 2007 have chosen for consideration and study. Assess this hazard have been made by AVHRR, MODIS, SEAWIFS, VISSR sensors and also TM and MSS, in some cases.
In the current research, visual observation method has been used for hazard recognition in images. In this method, for hazard recognition, we use features such as: tone, color,shape, size and tissue that each one are as an appear characteristics. Besides, color composite images (RGB) has been used for detect hazards with special color, in this research. Ultimately geometrical correction did on images for assess the cover surface. The study results show that for hazard tracing, high temporal resolution sensors and for inform of details and source of spatial resolution hazards, are practical and useful. For detection dust storms, the SEAWIFS, MODIS and also MODIS sensor has been introduced more useful than other sensor also for flood detection. METEOSAT satellite sensor has been introduced as the best sensor for assess the heavy rainfall because of super temporal resolution (each 15 – 30 min).