DocumentCode
2700353
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
fYear
2008
fDate
20-23 June 2008
Firstpage
885
Lastpage
888
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICINFA.2008.4608124
Filename
4608124
Link To Document