Application of MODIS Remotely Sensed Datasets to Automatic Detection of Forest Fire Point

摘要：

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.

作者: Qiuwen Zhang Cheng Wang

作者单位: Hubei Key Laboratory of Digital Watershed Science and Technology Huazhong University of Science and Technology Wuhan,Hubei Province 430074,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 885-888

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）