CoastalDEM: A global coastal digital elevation model improved from SRTM using a neural network-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

CoastalDEM: A global coastal digital elevation model improved from SRTM using a neural network

Published:2018-03 Issue: Volume:206 Page:231-239
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Kulp Scott A.^ORCID,Strauss Benjamin H.^ORCID

Funder

Department for International Development, UK Government

V. Kann Rasmussen Foundation

Kresge Foundation

Schmidt Family Foundation

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference42 articles.

1. SRTM vegetation removal and hydrodynamic modeling accuracy;Baugh;Water Resour. Res.,2013

2. Assessing global digital elevation models using the runway method: the advanced spaceborne thermal emission and reflection radiometer versus the shuttle radar topography mission case;Becek;IEEE Trans. Geosci. Remote Sens.,2014

3. Landscan 2010;Bright,2011

4. ICESat validation of SRTM C-band digital elevation models;Carabajal;Geophys. Res. Lett.,2005

5. Icesat lidar and global digital elevation models: applications to desdyni;Carabajal,2010

Cited by 112 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Two‐Step Approach to Extracting Sandy Beaches Through Integrating Spatial Semantic Information From Open‐Source Geospatial Datasets;Transactions in GIS;2024-09-05

2. Flood risk assessment in arid and semi-arid regions using Multi-criteria approaches and remote sensing in a data-scarce region;Journal of Hydrology: Regional Studies;2024-08

3. Artificial intelligence in marine ecosystem management: addressing climate threats to Kenya’s blue economy;Frontiers in Marine Science;2024-07-18

4. Evolution of Coastal Environments under Inundation Scenarios Using an Oceanographic Model and Remote Sensing Data;Remote Sensing;2024-07-16

5. Comparison of machine learning and statistical approaches for Digital Elevation Model (DEM) correction: interim results;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2024-06-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3