Title :
Application of MODIS remotely sensed datasets to automatic detection of forest fire point
Author :
Zhang, Qiuwen ; Wang, Cheng
Author_Institution :
Hubei Key Lab. of Digital Watershed Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan
Abstract :
According to the theory of forest burning circle and characteristics of MODIS remotely sensed datasets, absolute rule, difference rule and background rule of forest fire point detection based on MODIS are respectively proposed. It is shown that over 80% of the forest fire points can be successfully and automatically recognized with the model.
Keywords :
fires; forestry; geographic information systems; image resolution; remote sensing; spectrometers; MODIS remotely sensed datasets; absolute rule; background rule; difference rule; forest burning circle; forest fire point detection; moderate resolution imaging spectrometer; Automation; Brightness temperature; Fires; Hazards; Laboratories; MODIS; Remote monitoring; Satellites; Spatial resolution; Temperature sensors;
Conference_Titel :
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-2183-1
Electronic_ISBN :
978-1-4244-2184-8
DOI :
10.1109/ICINFA.2008.4608124
