首页    期刊浏览 2025年02月26日 星期三
登录注册

文章基本信息

  • 标题:Removal of Positive Elevation Bias of Digital Elevation Models for Sea-Level Rise Planning
  • 本地全文:下载
  • 作者:Elizabeth Burke Watson ; LeeAnn Haaf , Kirk Raper ; Erin Reilly
  • 期刊名称:Data
  • 印刷版ISSN:2306-5729
  • 出版年度:2019
  • 卷号:4
  • 期号:1
  • 页码:46-51
  • DOI:10.3390/data4010046
  • 出版社:MDPI Publishing
  • 摘要:Digital elevation models (DEMs) based on LiDAR surveys provide critical information for predicting the vulnerability of coastal areas to sea-level rises. Due to the poor penetration of LiDAR pulses in marsh vegetation, bare-earth DEMs for coastal wetlands are often subject to positive elevation bias, and thus underestimate vulnerability. This data publication includes comprehensive elevation surveys from seven coastal wetlands in coastal New Jersey, and an evaluation of the accuracy and positive elevation bias of each publically available DEM. Resampling the DEMs at a coarser resolution, replacing cell values using the minimum value in a wider search window (4 m), removed this positive elevation bias with no loss of accuracy.
  • 关键词:LiDAR; post-processing; coastal marsh; signed error LiDAR ; post-processing ; coastal marsh ; signed error
国家哲学社会科学文献中心版权所有