Study on DEM Correction Method of Digital Twin Basic Data Baseboard

DEM is one of the most important digital twin basic data and has played a huge role in water conservancy planning,design,and engineering construction.However,the existence of various DEM errors greatly reduces the credibility of analysis and application results.In particular,the missing value after...

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Main Authors: HONG Minghai, YAN Tao, LIU Hui, WANG Xingjian, JING Na, WANG Shiwei, WEI Wenjie, LI Xinan, FENG Chuqiao
Format: Article
Language:zho
Published: Editorial Office of Pearl River 2023-01-01
Series:Renmin Zhujiang
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Online Access:http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2023.07.009
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author HONG Minghai
YAN Tao
LIU Hui
WANG Xingjian
JING Na
WANG Shiwei
WEI Wenjie
LI Xinan
FENG Chuqiao
author_facet HONG Minghai
YAN Tao
LIU Hui
WANG Xingjian
JING Na
WANG Shiwei
WEI Wenjie
LI Xinan
FENG Chuqiao
author_sort HONG Minghai
collection DOAJ
description DEM is one of the most important digital twin basic data and has played a huge role in water conservancy planning,design,and engineering construction.However,the existence of various DEM errors greatly reduces the credibility of analysis and application results.In particular,the missing value after terrain conversion to DEM greatly limits subsequent DEM-based analysis.Based on the principle of raster calculation,this paper calls the corresponding tool of ArcGIS by Python to correct the missing value at the overlapped area of a certain terrain converted to DEM by using the mean of eight valued pixels around the pixel.The results show that the calculation method is highly applicable,reliable,and fast.The data of the corrected and compared values of 306 NoData pixels in the study area are close to the 1∶1 line;the maximum difference between the corrected and compared values is only 3.55 m,and the medium error value is 0.75,which is far below the standard error limit.Calling Numpy through Python greatly improves the calculation speed (10 s),and ArcGIS currently has no tool for directly correcting this method.In contrast,the DEM correction method proposed in this paper can be processed in batch,without processing failures due to memory limit,which greatly improves the work efficiency and has a strong application value for processing digital twin basic data.
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institution Kabale University
issn 1001-9235
language zho
publishDate 2023-01-01
publisher Editorial Office of Pearl River
record_format Article
series Renmin Zhujiang
spelling doaj-art-0c1be7a6a9c84370a87d64216896147c2025-01-15T02:22:06ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352023-01-014447637728Study on DEM Correction Method of Digital Twin Basic Data BaseboardHONG MinghaiYAN TaoLIU HuiWANG XingjianJING NaWANG ShiweiWEI WenjieLI XinanFENG ChuqiaoDEM is one of the most important digital twin basic data and has played a huge role in water conservancy planning,design,and engineering construction.However,the existence of various DEM errors greatly reduces the credibility of analysis and application results.In particular,the missing value after terrain conversion to DEM greatly limits subsequent DEM-based analysis.Based on the principle of raster calculation,this paper calls the corresponding tool of ArcGIS by Python to correct the missing value at the overlapped area of a certain terrain converted to DEM by using the mean of eight valued pixels around the pixel.The results show that the calculation method is highly applicable,reliable,and fast.The data of the corrected and compared values of 306 NoData pixels in the study area are close to the 1∶1 line;the maximum difference between the corrected and compared values is only 3.55 m,and the medium error value is 0.75,which is far below the standard error limit.Calling Numpy through Python greatly improves the calculation speed (10 s),and ArcGIS currently has no tool for directly correcting this method.In contrast,the DEM correction method proposed in this paper can be processed in batch,without processing failures due to memory limit,which greatly improves the work efficiency and has a strong application value for processing digital twin basic data.http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2023.07.009DEMArcGISdigital twincorrection
spellingShingle HONG Minghai
YAN Tao
LIU Hui
WANG Xingjian
JING Na
WANG Shiwei
WEI Wenjie
LI Xinan
FENG Chuqiao
Study on DEM Correction Method of Digital Twin Basic Data Baseboard
Renmin Zhujiang
DEM
ArcGIS
digital twin
correction
title Study on DEM Correction Method of Digital Twin Basic Data Baseboard
title_full Study on DEM Correction Method of Digital Twin Basic Data Baseboard
title_fullStr Study on DEM Correction Method of Digital Twin Basic Data Baseboard
title_full_unstemmed Study on DEM Correction Method of Digital Twin Basic Data Baseboard
title_short Study on DEM Correction Method of Digital Twin Basic Data Baseboard
title_sort study on dem correction method of digital twin basic data baseboard
topic DEM
ArcGIS
digital twin
correction
url http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2023.07.009
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AT jingna studyondemcorrectionmethodofdigitaltwinbasicdatabaseboard
AT wangshiwei studyondemcorrectionmethodofdigitaltwinbasicdatabaseboard
AT weiwenjie studyondemcorrectionmethodofdigitaltwinbasicdatabaseboard
AT lixinan studyondemcorrectionmethodofdigitaltwinbasicdatabaseboard
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