首页> 外文期刊>Fresenius Environmental Bulletin >TOWARD PRECISE SHORELINE DETECTION AND EXTRACTION FROM REMOTELY SENSED IMAGES WITH THE USE OF WET AND DRY SAND SPECTRAL SIGNATURES
【24h】

TOWARD PRECISE SHORELINE DETECTION AND EXTRACTION FROM REMOTELY SENSED IMAGES WITH THE USE OF WET AND DRY SAND SPECTRAL SIGNATURES

机译:借助湿和干砂光谱特征,实现从遥感图像中的精确的海岸线检测和提取

获取原文
获取原文并翻译 | 示例
           

摘要

Shoreline displacements are due to physical, anthropogenic and environmental factors such climate change. Remote sensing has become an essential tool for monitoring shoreline changes and understanding the physical processes in the coastal environment. However, ground truth-ing is necessary in order to detect the limits of sea-level inundation and /or wave run up. Within the framework of the THALES-DAPHNE project, we have initiated an investigation regarding the reflectance properties and spectral signatures of various samples of dry and wet beach sands. To this end, spectral reflectance characteristics for a collection of sand samples from various Hellenic beaches have been measured in the laboratory under dry and wet conditions. In addition ongoing field measurements are in process along the beach face of the delta of the River Pinios,that debouches at the NW coast of the microtidal Aegean Sea.
机译:海岸线位移是由于气候变化等物理,人为和环境因素造成的。遥感已成为监测海岸线变化和了解沿海环境物理过程的重要工具。但是,为了检测海平面淹没和/或海浪上升的极限,必须进行地面实测。在THALES-DAPHNE项目的框架内,我们启动了有关干沙滩和湿沙滩沙子各种样品的反射特性和光谱特征的调查。为此,已经在实验室中在干燥和潮湿条件下测量了来自各种希腊海滩的沙子样品的光谱反射特性。此外,正在进行沿皮尼奥斯河三角洲海滩面进行的野外测量,该河在微潮爱琴海的西北海岸起伏。

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