首页> 外文期刊>International journal of remote sensing >Using MERIS on Envisat for land cover mapping in the Netherlands
【24h】

Using MERIS on Envisat for land cover mapping in the Netherlands

机译:在Envisat上使用MERIS在荷兰进行土地覆盖制图

获取原文
获取原文并翻译 | 示例
       

摘要

This paper describes the results of a feasibility study to test the usefulness of MERIS for land cover mapping. The Netherlands was used as a test site because of its highly fragmented landscape. Results showed that the geometric and radiometric properties of the studied MERIS images of the Netherlands are suitable for land applications. Calculation of principal components and correlation coefficients revealed that the 15 MERIS bands provided a lot of redundant spectral information. For land applications, information came from the visible part of the spectrum on the one hand and from the near-infrared part on the other hand. In addition, the red-edge slope of the reflectance curve (in particular MERIS band 9 at about 708 nm) provided supplementary information. The Dutch land use database LGN5 was used as a reference for classifications in this study after aggregation from 25 m to 300 m and recoding to 7 relevant land cover classes. For land cover classification best results in terms of classification accuracies were obtained for the image of 14 July 2003. For the seven land cover classes selected the overall classification accuracy was 67.2%. A multitemporal classification did not improve the overall classification accuracy.
机译:本文介绍了可行性研究的结果,以测试MERIS在土地覆被制图方面的有用性。由于其高度分散的景观,荷兰被用作测试地点。结果表明,所研究的荷兰MERIS图像的几何和辐射特性适合于土地应用。主成分和相关系数的计算表明,15个MERIS频段提供了大量冗余光谱信息。对于陆地应用,信息一方面来自光谱的可见部分,另一方面来自近红外部分。另外,反射率曲线的红边斜率(特别是在约708 nm处的MERIS波段9)提供了补充信息。在从25 m到300 m进行汇总并重新编码为7个相关的土地覆盖类别之后,荷兰土地使用数据库LGN5被用作本研究的分类参考。对于土地覆被分类,对于2003年7月14日的图像,在分类精度方面获得了最佳结果。对于所选的7种土地覆被类别,总体分类精度为67.2%。多时相分类不能提高整体分类的准确性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号