Title :
“Hu-Xi fault” is found by remote sensing
Author :
Hua, Li Xian- ; Jin-yuan, Yi ; Xue-feng, Liu ; Peng-shou, Gu ; Hui, Lin
Abstract :
The distributing map of surface reflectivity of Shanghai city and its adjacent areas is generated by MODIS remote sensing image. According to the surface spectrum features of this area and the changing characters of surface reflectivity caused by MODIS pixels, we explain the distributing map of surface reflectivity as follows. In the fifth wave band of MODIS, the distributing map of surface reflectivity distinctly shows that there is a deep and spacious fault. The fault is 180 km in length from north to east. The north place is the Wusong in the Yangtze River Estuary and the south place is Zapu around the Hangzhou bay. The widest place and the narrowest place are approximately 10-12 km and 6-8 km in width, respectively. We name it “Hu-Xi fault”. Our conclusions are supported by the aeromagnetic data. We also analyze the changing characters of surface reflectivity in the section plane and the results prove the existence of this “Hu-Xi fault”. On the same distributing map of surface reflectivity, we can find the other spacious fault information. Our conclusions are supported by the other aeromagnetic data. According to the surface spectrum features and the changing characters of surface reflectivity, we can find out the other spacious fault information.
Keywords :
radiometry; remote sensing; terrain mapping; Hangzhou bay; Hu-Xi fault; MODIS pixels; MODIS remote sensing image; MODIS wave band; Shanghai city; Wusong; Yangtze river estuary; Zapu; fault information; surface reflectivity map; surface spectrum; Cities and towns; Educational institutions; Geology; MODIS; Reflectivity; Remote sensing; Surface waves; Hu-Xi fault; MODIS; The section map of surface reflectivity; surface reflectivity;
Conference_Titel :
Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-2495-3
Electronic_ISBN :
978-1-4673-2494-6
DOI :
10.1109/Agro-Geoinformatics.2012.6311626