Title :
Study on Forest Fire Spread Model Based on MODIS Image
Author :
Wang Jia ; Feng Zhongke
Author_Institution :
Survey mapping & 3S Technol. Center, Beijing Forestry Univ., Beijing, China
Abstract :
In order to improve the study on the happen and spread of forest fires, people established forest fire spread and forecasting model through the data which came from experiments and observations. Base on MODIS data, this study used data technology of remote sensing image to enhance image, then got data sequence for the models from the fusion image and established the spread and predicted model of forest fires through the integration of Gray. The process of the modeling is simple, Data is easy to get, and the model has the strong generality, so the relative error of half of predicted data based on the gray models was less than 1%, 25% less than 5%,and 25% between 5% and 10%.
Keywords :
environmental science computing; image enhancement; image fusion; remote sensing; MODIS data; MODIS image; data sequence; forecasting model; forest fire spread model; gray integration; gray model; image enhancement; image fusion; remote sensing image; Data models; Fires; Image resolution; Predictive models; Remote sensing; Satellite broadcasting; Satellites;
Conference_Titel :
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4244-7871-2
DOI :
10.1109/ICMULT.2010.5629518