Study on Forest Fire Spread Model Based on MODIS Image

Jia Wang, Zhongke Feng
{"title":"Study on Forest Fire Spread Model Based on MODIS Image","authors":"Jia Wang, Zhongke Feng","doi":"10.1109/ICMULT.2010.5629518","DOIUrl":null,"url":null,"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%.","PeriodicalId":412601,"journal":{"name":"2010 International Conference on Multimedia Technology","volume":"345 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Multimedia Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMULT.2010.5629518","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

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%.
基于MODIS影像的森林火灾蔓延模型研究
为了完善对森林火灾发生和蔓延的研究,人们通过实验和观测数据建立了森林火灾蔓延和预测模型。本文以MODIS数据为基础,利用遥感图像数据技术对图像进行增强,从融合图像中得到模型的数据序列,并通过灰度融合建立森林火灾的蔓延和预测模型。建模过程简单,数据易于获取,模型具有较强的通用性,因此基于灰色模型的预测数据有一半的相对误差小于1%,25%的相对误差小于5%,25%的相对误差在5% ~ 10%之间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信