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。
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.
出处
《遥感学报》
EI
CSCD
北大核心
2007年第3期340-349,共10页
NATIONAL REMOTE SENSING BULLETIN
基金
科技部<科技基础条件平台建设专项:MODIS数据产品开发与共享服务>项目(编号:2004DKA10060)
