FTF: a quick surveying approach for constructing high resolution digital surface model for road elements
Digital Surface Models (DSMs) are commonly built using data collected via remote sensing techniques such as aerial photogrammetry, LiDAR, and InSAR. DSM accuracy mainly depends upon the type of data used beside the methodology followed. The highest accuracy can be achieved when using a land surveyin...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2020-01-01
|
Series: | Geomatics, Natural Hazards & Risk |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/19475705.2020.1800519 |
_version_ | 1818392727282253824 |
---|---|
author | Abdullah Kamel Yehia Miky Ahmed El Shouny |
author_facet | Abdullah Kamel Yehia Miky Ahmed El Shouny |
author_sort | Abdullah Kamel |
collection | DOAJ |
description | Digital Surface Models (DSMs) are commonly built using data collected via remote sensing techniques such as aerial photogrammetry, LiDAR, and InSAR. DSM accuracy mainly depends upon the type of data used beside the methodology followed. The highest accuracy can be achieved when using a land surveying data which takes more time and costs a lot. The objective of this study is to present a quick approach for constructing high resolution DSM for road elements based on land surveying data. This approach is called Field-To-Finish (FTF), it is a process of converting surveying data into final graphical files based on the characteristics of the points and the accompanying code. To illustrate the proposed approach and assess the accuracy comparing with the traditional method, a case study was presented. We found that the FTF is superior to the traditional method on more than one level. The number of observed points, the time for surveying field work and for drafting were reduced. The methodology adopted in this study for obtaining DSM has proven to produce a digital model which is suitable for production engineering charts of scale 1: 100 that can be used in many scientific and practical applications related to civil infrastructure. |
first_indexed | 2024-12-14T05:34:01Z |
format | Article |
id | doaj.art-219cc3bb3aad4d6baf16e01ac23b43b1 |
institution | Directory Open Access Journal |
issn | 1947-5705 1947-5713 |
language | English |
last_indexed | 2024-12-14T05:34:01Z |
publishDate | 2020-01-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Geomatics, Natural Hazards & Risk |
spelling | doaj.art-219cc3bb3aad4d6baf16e01ac23b43b12022-12-21T23:15:14ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132020-01-011111466148910.1080/19475705.2020.18005191800519FTF: a quick surveying approach for constructing high resolution digital surface model for road elementsAbdullah Kamel0Yehia Miky1Ahmed El Shouny2Department of Geomatics, King AbdulAziz UniversityDepartment of Geomatics, King AbdulAziz UniversityDepartment of Geomatics, King AbdulAziz UniversityDigital Surface Models (DSMs) are commonly built using data collected via remote sensing techniques such as aerial photogrammetry, LiDAR, and InSAR. DSM accuracy mainly depends upon the type of data used beside the methodology followed. The highest accuracy can be achieved when using a land surveying data which takes more time and costs a lot. The objective of this study is to present a quick approach for constructing high resolution DSM for road elements based on land surveying data. This approach is called Field-To-Finish (FTF), it is a process of converting surveying data into final graphical files based on the characteristics of the points and the accompanying code. To illustrate the proposed approach and assess the accuracy comparing with the traditional method, a case study was presented. We found that the FTF is superior to the traditional method on more than one level. The number of observed points, the time for surveying field work and for drafting were reduced. The methodology adopted in this study for obtaining DSM has proven to produce a digital model which is suitable for production engineering charts of scale 1: 100 that can be used in many scientific and practical applications related to civil infrastructure.http://dx.doi.org/10.1080/19475705.2020.1800519ftfdsmroadslineworkcadd |
spellingShingle | Abdullah Kamel Yehia Miky Ahmed El Shouny FTF: a quick surveying approach for constructing high resolution digital surface model for road elements Geomatics, Natural Hazards & Risk ftf dsm roads linework cadd |
title | FTF: a quick surveying approach for constructing high resolution digital surface model for road elements |
title_full | FTF: a quick surveying approach for constructing high resolution digital surface model for road elements |
title_fullStr | FTF: a quick surveying approach for constructing high resolution digital surface model for road elements |
title_full_unstemmed | FTF: a quick surveying approach for constructing high resolution digital surface model for road elements |
title_short | FTF: a quick surveying approach for constructing high resolution digital surface model for road elements |
title_sort | ftf a quick surveying approach for constructing high resolution digital surface model for road elements |
topic | ftf dsm roads linework cadd |
url | http://dx.doi.org/10.1080/19475705.2020.1800519 |
work_keys_str_mv | AT abdullahkamel ftfaquicksurveyingapproachforconstructinghighresolutiondigitalsurfacemodelforroadelements AT yehiamiky ftfaquicksurveyingapproachforconstructinghighresolutiondigitalsurfacemodelforroadelements AT ahmedelshouny ftfaquicksurveyingapproachforconstructinghighresolutiondigitalsurfacemodelforroadelements |