基于时间序列遥感数据的森林火烧迹地提取
发布时间：2019-05-27 07:31
【摘要】：森林火灾是当今世界性的重大灾害之一,也是影响北方森林演替的主要因素,其成灾后往往会造成很大的经济损失,并对该地区的森林生态环境产生很大影响。基于2000-2013年8 d合成的MODIS EVI和land surface temperature(LST)时间序列数据,综合应用表征植被生长状态的植被物候期特征指标及全球扰动指数(MGDI),提出了一种森林火烧迹地检测方法,并在大兴安岭及其附近林区进行了应用验证。结果表明,所提研究方法可以有效地提取火烧迹地信息;与基于Landsat的森林扰动监测结果相比,该方法对植被细微的异常变化更加敏感,所提着火点像元也更加集中,在时间尺度上也更加精确和可靠。
[Abstract]:Forest fire is one of the major disasters in the world, and it is also the main factor affecting the forest succession in the north. After the disaster, it often causes great economic losses and has a great impact on the forest ecological environment in this area. Based on the time series data of MODIS EVI and land surface temperature (LST) synthesized from 2000 to 2013, a forest burning site detection method was proposed by using the characteristic index of vegetation phenological period and the global disturbance index (MGDI), which characterized the growth state of vegetation. The application was verified in Daxinganling and its adjacent forest areas. The results show that the proposed research method can effectively extract the fire trace information. Compared with the monitoring results of forest disturbance based on Landsat, this method is more sensitive to the subtle abnormal changes of vegetation, the proposed fire point pixels are more concentrated, and the time scale is more accurate and reliable.
【作者单位】： 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室;西南林业大学林学院;
【基金】：国家自然科学基金项目(41001279) 中国科学院战略性先导科技专项(XDA05050102)~~
【分类号】：S762;TP79
本文编号：2485982
[Abstract]:Forest fire is one of the major disasters in the world, and it is also the main factor affecting the forest succession in the north. After the disaster, it often causes great economic losses and has a great impact on the forest ecological environment in this area. Based on the time series data of MODIS EVI and land surface temperature (LST) synthesized from 2000 to 2013, a forest burning site detection method was proposed by using the characteristic index of vegetation phenological period and the global disturbance index (MGDI), which characterized the growth state of vegetation. The application was verified in Daxinganling and its adjacent forest areas. The results show that the proposed research method can effectively extract the fire trace information. Compared with the monitoring results of forest disturbance based on Landsat, this method is more sensitive to the subtle abnormal changes of vegetation, the proposed fire point pixels are more concentrated, and the time scale is more accurate and reliable.
【作者单位】： 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室;西南林业大学林学院;
【基金】：国家自然科学基金项目(41001279) 中国科学院战略性先导科技专项(XDA05050102)~~
【分类号】：S762;TP79
【相似文献】
相关期刊论文 前1条
1 高中灵;汪小钦;周小成;;火烧迹地信息遥感快速提取方法研究[J];国土资源遥感;2005年04期
相关会议论文 前1条
1 周婷婷;陈文惠;;遥感在森林火烧迹地植被恢复监测中应用研究[A];地理学与生态文明建设——中国地理学会2008年学术年会论文摘要集[C];2008年
，本文编号：2485982
本文链接：https://www.wllwen.com/guanlilunwen/gongchengguanli/2485982.html
