|
|||||
|
|
| 利用MODIS识别草原火灾迹地方法的研究 | |
| 引用本文： | 谭明艳,陈仲新,曹鑫,陈晋,杨伟,辜智慧.利用MODIS识别草原火灾迹地方法的研究[J].遥感学报,2007,11(3):340-349. |
| 作者姓名： | 谭明艳 陈仲新 曹鑫 陈晋 杨伟 辜智慧 |
| 作者单位： | 1. 北京师范大学,资源学院,教育部环境演变与自然灾害重点实验室,北京,100875;深圳气象局,广东,深圳,518001 2. 中国农业科学院,农业资源与农业区划研究所,北京,100081 3. 北京师范大学,资源学院,教育部环境演变与自然灾害重点实验室,北京,100875 4. 深圳大学,建筑与土木工程学院,广东,深圳,518060 |
| 摘 要： | 中国是草原火灾频繁国家,草原火灾对牧场和牲畜生产造成了严重的破坏。MODIS每天可以获得36个通道的卫星数据,为草原火灾迹地研究提供了新的数据源。通过实验研究,根据火灾迹地在MODIS短波红外波段的光谱特征,提出了GEMI-B指数以突出火灾迹地的特征,并进一步提出了基于GEMI-B指数且适用于火灾迹地面积提取的时间序列数据合成方法。同时发展了一种自动提取草原区域火灾迹地的方法,利用火点作为初始种子点,采用种子点扩散算法在时间序列合成数据的GEMI-B指数图像上实现火灾迹地自动提取。 |
| 关 键 词： | 火灾迹地 时间序列数据合成 自动识别 |
| 文章编号： | 1007-4619（2007）03-0340-10 |
| 修稿时间： | 2005-09-232006-10-31 |
Burn Scar Mapping in Steppe Using MODIS Data |
|
| TAN Ming-yan,CHEN Zhong-xin,CAO Xin,CHEN Jin,YANG Wei and GU Zhi-hui.Burn Scar Mapping in Steppe Using MODIS Data[J].Journal of Remote Sensing,2007,11(3):340-349. | |
| Authors: | TAN Ming-yan CHEN Zhong-xin CAO Xin CHEN Jin YANG Wei and GU Zhi-hui |
| Institution: | 1. Key Laboratory of Environment Change and Natural Disaster, Ministry of Education of China, College of Resource Science and Technology, Beijing Normal University, Beijing 100875, China ; 2. Shenzhen Meteorological Bureau, Guangdong Shenzhen 518001, China ; 3. Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China 4. The College of Architecture and Civil Engineering, Shenzhen University, Guangdong Shenzhen 518060, China |
| Abstract: | Wildfires release large amount of green house gas,smoke and aerosols which strongly impact on global climate.In China,wildfire in steppe area caused greatly economic loss.Remote sensing is a powerful tool to monitor fire and estimate burn scar area.Based on GEMI(Global Environment Monitoring Index) and spectral characteristics of burn scar in short wave region,a new index GEMI-B(Global Environment Monitoring Index-Burn scar) is proposed to extract burn scar in steppe area.In order to avoid the daily disturbance of cloud,aerosol,sensor zenith and sunglint,new multi-temporal composite methods based on maximal GEMI-B are proposed in the study to composite time series MODIS data.Based on active fire(hotspot) map,an automated extraction procedure has also been developed.A case study is carried out for the wildfire occurred in May,2003 on the border area between China and Mongolia.It is suggested by the results that the GEMI-B index,compositing algorithm and automated extraction method have potential to be applied on burn scar mapping in the semi-arid or arid areas. |
| Keywords: | MODIS GEMI-B |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
| 点击此处可从《遥感学报》浏览原始摘要信息 | |
| 点击此处可从《遥感学报》下载免费的PDF全文 | |