期刊文献+

基于综合识别方法的河北白洋淀湿地提取研究 被引量:6

Study on Wetland Extraction Based on the Synthetic Identification Method in the Baiyangdian Wetland,Hebei Province
下载PDF
导出
摘要 湿地作为地球上宝贵的自然资源,在维持自然生态平衡、改善生态环境、防治污染等方面具有极其重要的功能。基于Landsat 8 OLI遥感数据,通过对比分析关于湿地和水体的不同提取方法及结果,确定了适合于白洋淀淀区湿地和开阔水体的最佳提取方法,并利用改进的指数方法和谱间关系法分别对淀区湿地和开阔水体进行了定量化提取。鉴于白洋淀淀区湿地主要包括开阔水体和芦苇区两部分,将淀区内湿地和开阔水体进行几何拓扑后,得到淀区内芦苇区的范围。总结出一套适用于白洋淀湿地及其组成部分提取的综合方法,为利用遥感技术在白洋淀淀区内提取湿地及相关信息提供了方法借鉴。 As a valuable natural resource, wetland plays an important role on maintaining ecological balance, improving ecological environment, preventing and remedying pollution etc. Based on the remote sensing data of Landsat 80LI, the reasonable methods for extracting area information of wetlands and water bodies in the Bai- yangdian Wetland were determined. The improved index method and spectral relationship method were used to quantitatively extract the area of wetlands and open water bodies respectively. Most of the Baiyangdian Wetland are covered by open water bodies and reeds. Therefore, the reed area can be determined by subtracting the area of open water bodies from that of wetlands. A synthetic method for extracting wetlands and related components in the Baiyangdian Wetland was summarized. It can provide a reference for extracting area information of subjects in the Bai-yangdian Wetland by using remote sensing technique.
作者 王凯霖 赵凯 李海涛 张宝匀 李文鹏 WANG Kailinl,;ZHAO Kai;LI Haitao;ZHANG Baoyun;LI Wenpeng(School of Water Resources and Environment, China University of Geosciences, Be~jing 100083, China;China Institute of Geo-Environmental Monitoring, Beijing 100081, China;Institute of Geophysical and Geochemical Exploration, Chinese Academy of Geological Sciences, Lanffang, Hebei 065000, Chin)
出处 《现代地质》 CAS CSCD 北大核心 2017年第6期1294-1300,共7页 Geoscience
基金 中国地质调查局项目(DD20160239)
关键词 白洋淀湿地 开阔水体 芦苇 改进指数方法 综合方法 Baiyangdian Wetland open water body reed improved index method synthetic method
  • 相关文献

参考文献10

二级参考文献98

共引文献1536

同被引文献80

引证文献6

二级引证文献66

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部