首页> 外文会议>Society of Photo-Optical Instrumentation Engineers Conference on Remote Sensing of the Marine Environment >Capabilities of three satellite images to map coral reefs at Dong-Sha Atoll
【24h】

Capabilities of three satellite images to map coral reefs at Dong-Sha Atoll

机译:三种卫星图像的能力在东沙环礁映射珊瑚礁

获取原文

摘要

Coral reefs are complex marine ecosystems and environment-sensitive that are constructed and maintained by biological communities that thrive in the warm tropical ocean. Remote sensing provides a more efficient way to observe and monitor shallow coral reefs than alternative field survey. Dong-Sha Atoll is located at the northern continental margin of the South China Sea. The area of the atoll is more than 300 km2 with an average depth of 10 m, and has being abused by destructive fishing during recent decades. In this paper, three satellite broadband multi-spectral imageries (Quickbird2, ETM+, and SPOT5) are used to survey this area. In the preprocessing, low-resolution images are geometrically corrected to high-resolution imagery. For information extraction, unsupervised classification functions are adopted for ETM+ and SPOT5 data, and supervised classification method for Quickbird2. The classification results are (or not) merged into coral reef, and operated by vectorization, simplification, and topological analysis. There are 1331 coral reefs larger than 100 m2 with the detection limitation of 3*3 pixels at multi-band data of Quickbird2. The results extracted from SPOT5 data are better than that of ETM data at silty lagoon due to its higher resolution, and less at atoll reef bodies in the absence of blue waveband.
机译:珊瑚礁是复杂的海洋生态系统和环境敏感性,这些环境敏感由在温暖的热带海洋中茁壮成长的生物群群构建和维护。遥感提供比替代现场调查更有效的方式来观察和监控浅珊瑚礁。东沙环礁位于南海北部大陆边缘。环礁面积超过300公里,平均深度为10米,近几十年来遭到破坏性捕鱼。在本文中,三种卫星宽带多光谱成像(Quickbird2,ETM +和Spot5)用于调查该区域。在预处理中,低分辨率图像在几何上校正到高分辨率图像。对于信息提取,采用无监督的分类函数来采用ETM +和Spot5数据,以及用于QuickBird2的监督分类方法。分类结果(或不)合并到珊瑚礁中,并通过矢量化,简化和拓扑分析操作。有1331个珊瑚礁大于100平方米,在QuickBird2的多频带数据中的检测限制为3 * 3像素。从Spot5数据中提取的结果优于硅质泻湖的ETM数据,由于其较高的分辨率,并且在没有蓝波带的Atoll Reef Stock中少。

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