Retrieval of digital elevation models from Sentinel-1 radar data – open applications, techniques, and limitations

Author:

Braun Andreas12

Affiliation:

1. Department of Geosciences, Institute of Geography, University of Tübingen , 72070 Tübingen , Germany

2. Department of Geoinformatics –Z_GIS, University of Salzburg , 5020 Salzburg , Austria

Abstract

Abstract With the launch of Sentinel-1 in 2014, a new era of openly accessible spaceborne radar imagery was begun, and its potential has been demonstrated throughout all fields of applications. However, while interferometric approaches to detect surface deformations are continuously being published, only a few studies address the derivation of digital elevation models (DEMs) from Sentinel-1 data. This is mainly because of the narrow orbital tube, which was primarily designed for subsidence measurements using differential interferometry. Nonetheless, the technical conditions are provided for successful applications involving DEM generation. These are outlined in the first part of this article with a focus on potential error sources and the impact of the most important constraints, namely, temporal and perpendicular baselines. The second part evaluates 21 studies on this topic, their aims, and how they dealt with error sources and the necessity of validation. These studies are then discussed based on the main challenges and potentials including how these can be tackled in the future to lay a solid foundation for scientific discourse.

Publisher

Walter de Gruyter GmbH

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

Reference198 articles.

1. Schillaci C, Braun A, Kropáček J. Terrain analysis and landform recognition. In: Cook SJ, Clarke LE, Nield J, editors. Geomorphological techniques: online edition. London: British Society for Geomorphology; 2012. p. 1–18.

2. Martz LW, Garbrecht J. Numerical definition of drainage network and subcatchment areas from digital elevation models. Comput Geosci. 1992;18:747–61.

3. Lee J. Digital analysis of viewshed inclusion and topographic features on digital elevation models. Photogram Eng Remote Sens. 1994;60:451–556.

4. Maune DF. Digital elevation model technologies and applications: the DEM users manual. 2nd edn. Bethesda: ASPRS; 2007.

5. Moore ID, Grayson RB, Ladson AR. Digital terrain modelling: a review of hydrological, geomorphological, and biological applications. Hydrolog Process. 1991;5:3–30.

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