In recent years

the time and spatial resolution of satellites have been effectively improved with the development of satellite remote sensing technology. Thus

research on convection has focused on improving the detection of Convective Initiation（ CI） and Rapidly Developing Convection（ RDC）

which is indicative of impending disastrous weather conditions. In this study

we aim to identify ways to utilize satellite remote sensing technology in capturing RDC information for RDC detection. RDC detection using satellite data is possible with the operation of the rapid scan mode of China’s meteorological satellite FY-2F. This satellite provides multi-channel rapid scan data with a time resolution of 6 min and a spatial resolution of 5 km.A method for RDC detection is designed according to the characteristics of the multi-channel rapid scan data of the FY-2F satellite. A multi-channel identification of Cloud-Top Cooling rate（ CTC） and CTC filtration with three tests（ elimination of cloud movement

acquisition of BT minimum value

and filtration according to identified RDC） are also performed. After the conduct of the three tests

the local BT minimum value of RDC can then be filtered

and the surrounding pixels can be filled using the flood fill method to determine the RDC.The developed method is then employed in RDC detection using the scan data of the 94° E—129° E

11° N—26° N area in August 2013. Artificial statistics with a visual analysis of the accuracy rate of RDC detection is used in the experiment. Experimental results show that the POD

FAR

and CSI of RDC detection using our method are 0. 89

0. 15

and 0. 77

respectively.In this study

we propose a method for RDC detection and apply the rapid scan data of the FY-2F satellite. The method is proven effective in accurately detecting RDC. However

the 15% false alarm rate of our method indicates the need to narrow down the scope of RDC identification conditions. In the future

we will focus on identifying ways to use the 1 km VIS channel data of the FY-2F satellite to achieve highly accurate detection.