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Towards high-resolution global urban 3D model from TanDEM-X data

Shi, Yilei and Wang, Yuanyuan and Bamler, Richard and Zhu, Xiao Xiang (2018) Towards high-resolution global urban 3D model from TanDEM-X data. In: EARSeL 5th Joint Workshop “Urban Remote Sensing – Challenges & Solutions”. 5th Joint Workshop Urban Remote Sensing – Challenges & Solutions, 24.-26. Sep. 2018, Bochum, Germany.

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Official URL: http://earsel.org/

Abstract

The significance of a global digital elevation model (DEM) with a resolution of 1m level would be equivalent to that of the Human Genome Project, because it would transform the monitoring, modeling and the prediction of natural disasters, climate change and Earth surfaces processes in general [1]. For example, global annual losses due to flooding are predicted to reach US$ 1 trillion by 2050 [1]. Errors in current DEMs can lead to errors in the prediction of hydrological runoff volume by several percent [2]. Such prediction error will cause inevitable loss of finance and life. This is particularly true for urban research, as more than half of the global population lives in urban area[3], yet a DEM that is accurate and large enough to support the research of the rapid urban development is nonexistence. The available DEMs either lack in coverage, such as LiDAR DEM, or lack in accuracy, such as the TanDEM-X DEM. The vision of this paper is to reconstruct a highly accurate global 3D urban model from TanDEM-X data. The current TanDEM-X global DEM has a high quality (12m posting, absolute height accuracy 10m, relative height accuracy 4 m)close to the HRTI-3 standard. However, when it comes to urban mapping, layover effects caused by the side-looking nature of the radar satellites handicap the use of TanDEM-X data for a precise 3D reconstruction in urban areas. Although, the state-of-the-art SAR tomographic (TomoSAR) inversion[4] allows an accurate height estimation up to 1m from tens of (typically 20-100) images, most part of the world is only covered by three to five TanDEM-X images. To go beyond this limit, this paper proposes a novel framework of TomoSAR using a minimum number of acquisitions to obtain rapid and accurate height estimation, which is essential to our vision of global high-resolution3D urban modelling.

Item URL in elib:https://elib.dlr.de/124075/
Document Type:Conference or Workshop Item (Speech)
Additional Information:nur einseit. Abstract eingereicht
Title:Towards high-resolution global urban 3D model from TanDEM-X data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Shi, Yileiyilei.shi (at) tum.deUNSPECIFIED
Wang, Yuanyuanyuanyuan.wang (at) dlr.deUNSPECIFIED
Bamler, Richardrichard.bamler (at) dlr.deUNSPECIFIED
Zhu, Xiao Xiangxiaoxiang.zhu (at) dlr.deUNSPECIFIED
Date:September 2018
Journal or Publication Title:EARSeL 5th Joint Workshop “Urban Remote Sensing – Challenges & Solutions”
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:3D, urban, model, global, TanDEM-X, so2sat
Event Title:5th Joint Workshop Urban Remote Sensing – Challenges & Solutions
Event Location:Bochum, Germany
Event Type:international Conference
Event Dates:24.-26. Sep. 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Remote Sensing Technology Institute > Leitungsbereich MF
Deposited By: Wang, Yuanyuan
Deposited On:05 Dec 2018 14:29
Last Modified:31 Jul 2019 20:21

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