Conference PaperPDF Available

Vertical accuracy assessment of DEMs around Jabal al-Shayeb area, Egypt

Authors:
  • Higher Institute for Literary Studies, Al-Kafouri, King Mariott, Alexandria, EGYPT

Abstract

As a quantitative and numerical representation of earth surface topography, Digital Elevation Models (DEMs) are widely used in several applications including geological, hydrological, and geographical Aspects. With the availability of several types of DEMs, various intrinsic errors may be incorporated due to sensor acquisition inconveniences, or processing techniques compared to the actual land surface measurements. Consequently, this study aims to analysis and test the vertical accuracy of NASADEM, Advanced Spaceborne Thermal Emission and Reflection Radiometer–Global Digital Elevation Model (ASTER GDEM) and Advanced Land Observing Satellite (ALOS) Phased Array L-type band Synthetic Aperture Radar (PALSAR) DEM compared to the actual ground control points (GCPs) derived from topographic maps through calculating Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE). Our results revealed the sublimity of ALOS PALSAR DEM over NASADEM and ASTER GDEM. Thus, ALOS PALSAR DEM is recommended for further geomorphological studies.
The proceedings of the
3rd Intercontinental Geoinformation Days
Editor-in-Chief
Prof. Dr. Murat YAKAR
Editors
Assoc. Prof. Dr. Erdinç AVAROĞLU
Asst. Prof. Dr. Muzaffer Can İBAN
Asst. Prof. Dr. Ali ULVİ
Asst. Prof. Dr. Lütfiye KUŞAK
Asst. Prof. Dr. Fatma BÜNYAN ÜNEL
Res. Asst. Aydın ALPTEKİN
Res. Asst. Abdurahman Yasin YİĞİT
Res. Asst. Mehmet Özgür ÇELİK
Eng. Engin KANUN
ISBN: 978-625-44303-7-4
Mersin, 2021
HONOR BOARD
Ali İhsan SU - Governor of Mersin Province
Prof. Dr. Ahmet ÇAMSARI - Rector of Mersin University
Prof. Dr. Orhan AYDIN - Rector of Tarsus University
Mehmet Zeki ADLI Director of Turkish Land Registry and Cadastre
Prof. Dr. Rudolf STAIGER - FIG President
Prof. Dr. Christian HEIPKE - ISPRS President
Prof. Dr. Chryssy POTSIOU - FIG President (2015-2018)
Prof. Dr. Haluk ÖZENER Boğaziçi University Director of Kandilli Observatory
Dr. Orhan ERCAN - FIG Vice President
EXECUTIVE COMMITTEE
Prof. Dr. Abdurrahman EYMEN Erciyes University, TURKEY
Prof. Dr. Alexander SAGAYDAK State University of Land Use Planning, RUSSIA
Prof. Dr. Alias Abdul RAHMAN Universiti Teknologi Malaysia (UTM), MALAYSIA
Prof. Dr. Andreas GEORGOPOULOS National Technical University of Athens, GREECE
Prof. Dr. Ariel BLANCO University of Philippines at Daliman, PHILIPPINES
Prof. em. Dr.-Ing. Dr.h.c. Armin GRÜN ETH Zürich, SWITZERLAND
Prof. Dr. Ashutosh MOHANTY Shoolini University, INDIA
Prof. Dr. Aydın ÜSTÜN Kocaeli University, TURKEY
Prof. Dr. Bashkim IDRIZI University of Prishtina, KOSOVO
Prof. Dr. Bülent BAYRAM Yıldız Technical University, TURKEY
Prof. Dr. Charles TOTH Ohio State University, USA
Prof. Dr. Chryssy POTSIOU National Technical University of Athens, GREECE
Prof. Dr. Çetin CÖMERT Karadeniz Technical University, TURKEY
Prof. Dr. Dursun Zafer ŞEKER Istanbul Technical University, TURKEY
Prof. Dr. Erkan BEŞDOK Erciyes University, TURKEY
Prof. Dr. Ferruh YILDIZ Konya Technical University, TURKEY
Prof. Dr. Fevzi KARSLI Karadeniz Technical University, TURKEY
Prof. Dr. Füsun BALIK ŞANLI Yıldız Technical University, TURKEY
Prof. Dr. Hacı Murat YILMAZ Aksaray University, TURKEY
Prof. Dr. Hediye ERDOĞAN Aksaray University, TURKEY
Prof. Dr. Haluk ÖZENER Boğaziçi University, TURKEY
Prof. Dr. Hande DEMİREL Istanbul Technical University, TURKEY
Prof. Dr. Jiyoon KIM University of Seoul, REPUBLIC OF KOREA
Prof. Dr. Maria Antonia BROVELLI Politecnico di Milano, ITALY
Prof. Dr. Mevlüt YETKİN İzmir Katip Çelebi University, TURKEY
Prof. Dr. Muhammad Bilal Nanjing University of Information Science and Technology, CHINA
Prof. Dr. Mustafa YANALAK Istanbul Technical University, TURKEY
Prof. Dr. Naser EL-SHEIMY University of Calgary, CANADA
Prof. Dr. Nebiye MUSAOĞLU Istanbul Technical University, TURKEY
Prof. Dr. Nilanchal PATEL Birla Institute of Technology Mesra, INDIA
Prof. Dr. Niyazi ARSLAN Çukurova University, TURKEY
Prof. Dr. Pal NIKOLLI University of Tirana, ALBANIA
Prof. Dr. Reha Metin ALKAN Istanbul Technical University, TURKEY
Prof. Dr. Sebahattin BEKTAŞ Ondokuz Mayıs University, TURKEY
Prof. Dr. Sujit MANDAL Diamond Harbour Womens’ University, INDIA
Prof. Dr. Tahsin YOMRALIOĞLU Beykent University, TURKEY
Prof. Dr. Tayfun ÇAY Konya Technical University, TURKEY
Prof. Dr. Tamer BAYBURA Afyon Kocatepe University, TURKEY
Prof. Dr. Tarık TÜRK Cumhuriyet University, TURKEY
Prof. Dr. Taşkın KAVZOĞLU Gebze Technical University, TURKEY
Prof. Dr. Uğur DOĞAN Yıldız Technical University, TURKEY
Prof. Dr. Yasemin ŞİŞMAN Ondokuz Mayıs University, TURKEY
Prof. Dr. Youkyung HAN Kyungpook National University, REPUBLIC OF KOREA
Assoc. Prof. Dr. Anargha DHORDE Nowrosjee Wadia College, INDIA
Assoc. Prof. Dr. Aziz ŞİŞMAN Ondokuz Mayıs University, TURKEY
Assoc. Prof. Dr. Bihter EROL Istanbul Technical University, TURKEY
Assoc. Prof. Dr. Cevdet Coşkun AYDIN Hacettepe University, TURKEY
Assoc. Prof. Dr. Erol YAVUZ Uşak University, TURKEY
Assoc. Prof. Dr. Fatih DÖNER Gümüşhane University, TURKEY
Assoc. Prof. Dr. Fatih POYRAZ Cumhuriyet University, TURKEY
Assoc. Prof. Dr. Halil AKINCI Artvin Çoruh University, TURKEY
Assoc. Prof. Dr. Khalil Valizadeh KAMRAN University of Tabriz, IRAN
Assoc. Prof. Dr. Lyubka PASHOVA Bulgarian Academy of Sciences, BULGARIA
Assoc. Prof. Dr. Murat UYSAL Afyon Kocatepe University, TURKEY
Assoc. Prof. Dr. Özgün AKÇAY Çanakkale Onsekiz Mart University, TURKEY
Assoc. Prof. Dr. Serdar EROL Istanbul Technical University, TURKEY
Assoc. Prof. Dr. Şükran YALPIR Konya Technical University, TURKEY
Assoc. Prof. Dr. Uğur AVDAN Eskişehir Technical University, TURKEY
Assoc. Prof. Dr. Zaide DURAN Istanbul Technical University, TURKEY
Asst. Prof. Dr. Berk ANBAROĞLU Hacettepe University, TURKEY
Asst. Prof. Dr. Esra TEKDAL YILMAZ Nicholls State University, USA
Asst. Prof. Dr. Jorge ROCHA University of Lisbon, TURKEY
Asst. Prof. Dr. Kemal ÇELİK Gümüşhane University, TURKEY
Asst. Prof. Dr. Khalid MAHMOOD University of Punjab, PAKISTAN
Asst. Prof. Dr. Mahmut Oğuz SELBESOĞLU Istanbul Technical University, TURKEY
Asst. Prof. Dr. Mustafa Utkan DURDAĞ Artvin Çoruh University, TURKEY
Asst. Prof. Dr. Mustafa ÜSTÜNER Artvin Çoruh University, TURKEY
Asst. Prof. Dr. Nizar POLAT Harran University, TURKEY
Asst. Prof. Dr. Osman Sami KIRTILOĞLU İzmir Katip Çelebi University, TURKEY
Asst. Prof. Dr. Sadra KARIMZADEH University of Tabriz, IRAN
Asst. Prof. Dr. Serdar BİLGİ Istanbul Technical University, TURKEY
Asst. Prof. Dr. Subija IZEIROSKI Geo-SEE Institute, NORTH MACEDONIA
Asst. Prof. Dr. Surendra Pal SINGH Wollega University, ETHIOPIA
Asst. Prof. Dr. Süleyman Sefa BİLGİLİOĞLU Aksaray University, TURKEY
Asst. Prof. Dr. Serdar BİLGİ Istanbul Technical University, TURKEY
Asst. Prof. Dr. Tae-Suk BAE Sejong University, REPUBLIC OF KOREA
Asst. Prof. Dr. Tirthankar BANERJEE Banaras Hindu University, INDIA
Asst. Prof. Dr. Volkan YILMAZ Artvin Çoruh University, TURKEY
Dr. Abdel Aziz ELFADALY Nat. Auth. for Remote Sensing and Space Science, EGYPT
Dr. Abdul-Lateef BALOGUN Universiti Teknologi PETRONAS (UTP), MALAYSIA
Dr. Artur GIL University of the Azores, PORTUGAL
Dr. Ajoy DAS Gujarat University, INDIA
Dr. Bayartungalag BATSAIKHAN Chairwoman of Mongolian Geo-spatial Association, MONGOLIA
Dr. Cesar CAPINHA University of Lisbon, PORTUGAL
Dr. Erman ŞENTÜRK Kocaeli University, TURKEY
Dr. Gábor Remetey-FÜLÖPP GIS Association Hungary, HUNGARY
Dr. Gojko NIKOLIC University of Montenegro, MONTENEGRO
Dr. Ismail KABASHI Angst, AUSTRIA
Dr. Krishna Prasad BHANDARI Tribhuvan University, NEPAL
Dr. Olalekan Adekunle ISIOYE Ahmadu Bello University, NIGERIA
Dr. MD Firoz KHAN University of Malaya, MALAYSIA
Dr. Muhammad IMZAN BIN HASSAN Universiti Teknologi Malaysia, MALAYSIA
Dr. Eng. Colonel Altan YILMAZ Turkish Gen. Directorate of Mapping, TURKEY
M.Sc. R.S. AJIN Dpt. Of Disaster Management, Govt. Of Kerala, INDIA
M.Sc. Ochirkhuyag LKHAMJAV Mongolian Geo-spatial Association, MONGOLIA
Dereje SUFA Wollega University, ETHIOPIA
Byeong-Hyeok YU Korean Soc. of Environment & Ecology, REPUBLIC OF KOREA
International Association of Turkish Literature Culture Education (TEKE Derneği)
Prof. Dr. Cengiz ALYILMAZ –Bursa Uludağ University
Assoc. Prof. Dr. Onur ER Düzce University
Assoc. Prof. Dr. Faruk POLATCAN Sinop University
Assoc. Prof. Dr. Beyhan KOCADAĞİSTAN – Atatürk University
Dr. İsmail ÇOBAN – Artvin Çoruh University
ORGANIZING COMMITTEE
Mersin University - Faculty of Engineering - Department of Geomatics Engineering
Prof. Dr. Murat YAKAR Conference Chairman Head of Department
Asst. Prof. Dr. Muzaffer Can İBAN – Conference Secretary
Assoc. Prof. Dr. Erdinç AVAROĞLU
Asst. Prof. Dr. Ali ULVİ
Asst. Prof. Dr. Fatma BÜNYAN ÜNEL
Asst. Prof. Dr. Lütfiye KUŞAK
Dr. Hakan DOĞAN – Turkish State Meteorological Service
Lect. Atilla KARABACAK
Lect. Şafak FİDAN
Res. Asst. Abdurahman Yasin YİĞİT
Res. Asst. Aydın ALPTEKİN
Res. Asst. Mehmet Özgür ÇELİK
Eng. Engin KANUN
Eng. Seda Nur Gamze HAMAL
Eng. Veli YILDIZ
Eng. Mücahit Emre ORUÇ
17 November 2021 - Wednesday
09:15-09:45
Opening
09:45-10:15
Land Management (Chair: Prof. Dr. Chryssy POTSIOU FIG Honorary President)
Spatio-Temporal analysis of climate change in India: A theoretical perspective
Rajaram Patil, Moushumi Datta
Investigation of assembly centers in the disaster areas in Merkez District of Uşak Province in Turk ey
Fatma Yüksel, Fatih Taktak
Developing 3D real estate tax visualization / management system with GIS based procedural modelling approa ch
Sevket Bediroglu
10:15-10:30
Break
10:30-12:00
Remote Sensing & Photogrammetry - 1 (Chair: Dr. Artur GIL - University of the Azores, Portugal)
Analysis of forest degradation by using GIS and remote sensing: A case study of Chandoli National Park Kolhapur in Maharashtra Sta te
Rajaram Patil, Govardhan Ubale
Mapping of flood areas using Sentinel-1 S ynthetic Aperture Radar (SAR) images with Goo gle Earth Engine cloud platform A case study
of Chamoli district, Uttarakhand- India
Mohammed Faizan, Gobinath Palanisamy
Using Sentinel-1 GRD Sar Data for volca nic eruptions monitoring: The Case-S tudy of Fogo Volcano (Cabo Verde) in 2014/2015
Rafaela Tiengo, José Pacheco, Jéssica Uchôa, Artur Gil
Determination of vineyards with support vector machine and deep learning-based image classification
Özlem Akar, Ekrem Saralıoğlu, Oğuz Güngör, Halim Ferit Bayata
Assessing the interrelationship between LST, NDVI, NDBI and land cover cha nge in Amuwo-Odofin, Lagos Nigeria
Alfred Sunday Alademomi, Chukwuma John Okolie, Daramola Olagoke, Samuel Akinnusi, Elias Adediran, Hamed Olanrewaju, Abiodun Ol awale
Alabi, Tosin Salami, Joseph Odumosu
Detecting changes in Mangrove Forests alo ng the Bintang Bolong Estuary, Gambia using Google Earth Engine, Sentinel-2 Imagery and
random forest classification
Lisah Ligono, Chukwuma Okolie
Remote sensing approach for aerosol optical thickn ess (AOT) monitoring in relatio n to the road network in Lagos Met ropolis, Nigeria
Chukwuma Okolie, Emmanuel Ayodele, Erom Mbu-Ogar, Samuel Akinnusi, Olagoke Daramola, Abdulwaheed Tella, Rose Alani, Alfred Alademomi
12:00-13:00
Lunch Break
13:00-14:15
Surveying & Geodesy (Chair: Assoc. Prof. Dr. Lyubka PASHOVA - National Institute of Geophysics, Geodesy and Geography Bulgarian Academy of
Sciences, Bulgaria)
Vertical accuracy assessment of Dems around Jabal Al-Shayeb Area, Egypt
Ali Shebl, Mohamed Atalla, Árpád Csámer
The current state of use of satellite-based position ing systems in Turkey
Nuri Erdem, Abdulsamet Demirel
Estimation of tidal constituents from sea level registrations in BAB "St. Kliment Ohridski", Li vingston Island
Lyubka Pashova, Borislav Alexandrov
Accuracy assessment of positioning based on single and Multi-GNSS
Lukman Abdulmumin, Yusuf Ramalan, Haruna Ibrahim, Abubakar Adamu Musa
Monitoring bathymetric changes of Com modore Channel, Lagos Nigeria
Babatunde Anibaba, Peter Nwilo, Chukwuma Okolie, Micha el Orji, Olagoke Daramola
Accuracy assessment of established control within Universit y of Lagos, Nigeria
Abiodun Alabi, Alfred Alademomi, Tosin Salami, Adedayo Okutubo, Wale Oyedokun
Establishment of a geodetic network for the deformation monitoring of the Third Ma inland Bridge
Samuel Akintoye, Hamed Olanrewaju, Hannah Abioye, Chukwuma Okolie, Samuel Akinnusi, Adegbite Usman
14:15-14:30
Break
14:30-16:00
Geographic Information Systems 1
Suitability analysis of solid waste dumpsites in Igabi Lga, Kaduna State Nigeria
Kaka Atta, MUHAMMAD NURA Idris, Yabo Stephe n, Lukman Olawunmi Giwa
Comparative analysis of pedestrian stride length methods
Nimet Karagöz, Fatih Gülgen
Monitoring and prediction of land cover change in Anambra River Basin using cellular automata and markov chain technique
Peter Nwilo, Nna-Njar Gertrude Njar, Utibe Bassey Inyang, Chukwuma John Okolie, Olagoke Emmanuel Daramola, Michael Joseph Orji, Hamed
Olabode Olanrewaju, Samuel Akinbola Akinnusi, Andy Os agie Egogo-Stanley
Geospatial intelligence (Geoint) with Geograp hic Information Systems (GIS)
Halil İbrahim Onyil
Age and gender differences in perceptions and health impacts of noise in an a cademic environment
Alfred Alademomi, Johanson Onyegbula, Rahmat Adep o, Chukwuma Okolie, Abiodun Alabi, Babatund e Ojegbile, Olagoke Daramola, Nehemiah
Alozie, Samuel Akinnusi, Taiwo Adewale
FAHP And GIS based land use suitability ana lysis for agriculture in Aksaray C ity, Turkey
Süleyman Sefa Bilgilioğlu
18 November 2021 - Thursday
09:00-10:30
Remote Sensing & Photogrammetry 2
SFM photogrammetry for land use change analysis in a Sub-Urban area of Nigeria
Chima Iheaturu, Chukwuma Okolie, Solomon Musa, Emmanuel Ayodele, Andy Egogo-Stanley
Monitoring the change of coastline with remote sensing and GIS: A case study from Izmit an d Gemlik Gulfs, Turkey
Tümay Arda, Melis Uzar
Analysis of Land-Use/Land-Cover dynamic s in Ibadan Metropolis, Oyo State, Nigeria
Aliyu Zailani Abubakar, Swafiyudeen Bawa, Yahay a Abbas Aliyu, Tarwase Tosin Youngu, Usman Sa'i Ibrahim, Ayo Olalekan Fatoyinbo
Fully automated drought analysis from the product s of the moderate resolution imaging spectroradiomet er (MODIS)
Ali Levent Yagci
Development of a user-friendly program: “Real-T ime Image Properties Display”
James Olaleye, Abiodun Alabi, Alfred Alademomi, Damilola Olatayo, Tosin Salami
Determination of Karina Lagoon surface area water temperature changes using remote sensing methods
Elif Akyel, Özşen Çorumluoğlu
Using remote sensing to monitor aerosol optica l thickness (AOT) and its rela tionship with land cover in Lagos Metropolis, Nigeria
Emmanuel Ayodele, Chukwuma Okolie, Samuel Akinnusi, Erom Mbu-Ogar, Olagok e Daramola, Abdulwaheed Tella, Rose Alani, Alfred Alademomi
10:30-10:45
Break
10:45-12:00
Geographic Information Systems 2
Mapping federal government dams in Nigeria
Sola Oluwayemi, Adedayo Olayiwola
Monitoring the spatial distribution of CO2 within the University of Lagos Mai n Campus
Alfred Alademomi, Musa Animashaun, Oluwatimileyin Abolaji, Chukwuma Okolie, Babatunde Ojegbile, Olagoke Daramola, Nehemiah Al ozie
Spatial relationship between NDVI, EVI, SAVI and land cover changes in the Lake Chad area from 1987 to 2017
Peter Nwilo, Chukwuma Okolie, Abdulkareem Umar, Samuel Akinnusi, Babatunde Ojegbile, Hamed Ol anrewaju
Assessment of noise levels and associated health impacts in an academic environment
Alfred Alademomi, Johanson Onyegbula, Rahmat Adep o, Chukwuma Okolie, Babatunde Oje gbile, Abiodun Alabi, Olagoke Daramola, Nehemiah
Alozie, Andy Egogo-Stanley, Inioluwa Ayantayo
Application of GIS and analytica l hierarchy process for flood vulnerability as sessment in Adamawa Catchment , Nigeria
Ayila Adzandeh, Dupe Olayinka-Dosunmu, Isa Hamid-Mosaku, Chukwuma Okolie, P eter Nwilo, Caleb Ogbeta
Locational analysis of infrastructural facilities in selecte d oil and nonoil pro ducing areas of Akwa İbom State
Mbom-Abasi Inyang, Alabi Soneye, Chukwuma Okolie, Shakirudeen Odunuga, Johanson Onyegbula, Samuel Akinnusi, Hamed Olanrewaju
12:00-13:00
Lunch Break
13:00-14:15
Remote Sensing & Photogrammetry 3
Comparative analysis of forest change by type of Natural Park using clear cuts method
Eun Ha Park, Ji Young Kim, Jin Won Kim, Byeong- Hyeok Yu
Shallow-water bathymetry using Landsat 8 imagery Example of Ibafon Creek
Chukwuma Okolie, Emmanuel Ayodele, Oluwatobi Raji, Waliyah Adedokun, Olagoke Daramola, Samuel Aki nnusi, Hamed Olanre waju
Vegetation mapping from vegetation indices using a UAV-based sensor
Emmanuel Ayodele, Chukwuma Okolie, Imole Okediji
Evaluation of Landsat and MODIS imagery fusion for high-resolution evapotranspiration mapping over large agricultural ar ea
Ayoub Moradi
Accuracy assessment and conflation of DEMs over Kaduna State, Nigeria
Swafiyudeen Bawa, Moses Mefe, Ebenezer ayobami Akom olafe, Monye Joseph Chukwuweta, Lukman Abdulmumin, Abubakar Adamu Musa
Applications of remote sensing in solving Myriads of Geological Problems: A review
Ogbonna Okpuru, Maruf Orewole, Sunday Olotu
3D modeling of underwater objects using photogrammetric techniques and software comparison
Seda Nur Gamze Hamal, Ali Ulvi
Documentation of cultural heritage by photo grammetric methods: a case study of Aba's Monument al Tomb
Engin Kanun, Aydın Alptekin, Murat Yakar
CONTENTS
Page
Spatio-Temporal Analysis of Climate Change in India: A Theoretical Perspective
Rajaram Patil, Moushumi Datta
1
Investigation of Assembly Centers in The Disaster Areas in Merkez District of Uşak Province in
Turkey
Fatma Yüksel, Fatih Taktak
6
Developing 3D real estate tax visualization / management system with GIS based procedural
modelling approach
Sevket Bediroglu
10
Analysis of Forest Degradation by Using GIS and Remote Sensing: A Case Study of Chandoli
National Park Kolhapur in Maharashtra State
Rajaram Patil, Govardhan Ubale
14
Mapping of Flood Areas using Sentinel-1 Synthetic Aperture Radar (SAR) images with Google
Earth Engine cloud platform A Case Study of Chamoli district, Uttarakhand- India
Mohammed Faizan, Gobinath Palanisamy
18
Using Sentinel-1 GRD Sar Data for Volcanic Eruptions Monitoring: The Case-Study of Fogo
Volcano (Cabo Verde) in 2014/2015
Rafaela Tiengo, José Pacheco, Jéssica Uchôa, Artur Gil
22
Determination of Vineyards with Support Vector Machine and Deep Learning-Based Image
Classification
Özlem Akar, Ekrem Saralıoğlu, Oğuz Güngör, Halim Ferit Bayata
26
Assessing the interrelationship between LST, NDVI, NDBI and land cover change in Amuwo-
Odofin, Lagos Nigeria
Alfred Sunday Alademomi, Chukwuma John Okolie, Daramola Olagoke, Samuel Akinnusi, Elias Adediran,
Hamed Olanrewaju, Abiodun Olawale Alabi, Tosin Salami, Joseph Odumosu
30
Detecting Changes in Mangrove Forests Along the Bintang Bolong Estuary, Gambia Using Google
Earth Engine, Sentinel-2 Imagery and Random Forest Classification
Lisah Ligono, Chukwuma Okolie
34
Remote Sensing Approach for Aerosol Optical Thickness (AOT) Monitoring in Relation to the
Road Network in Lagos Metropolis, Nigeria
Chukwuma Okolie, Emmanuel Ayodele, Erom Mbu-Ogar, Samuel Akinnusi, Olagoke Daramola,
Abdulwaheed Tella, Rose Alani, Alfred Alademomi
38
Vertical Accuracy Assessment of Dems Around Jabal Al-Shayeb Area, Egypt
Ali Shebl, Mohamed Atalla, Árpád Csámer
42
The Current State of Use of Satellite-Based Positioning Systems in Turkey
Nuri Erdem, Abdulsamet Demirel
46
Estimation Of Tidal Constituents from Sea Level Registrations in BAB "St. Kliment Ohridski",
Livingston Island
Lyubka Pashova, Borislav Alexandrov
50
Accuracy Assessment of Positioning Based on Single and Multi-GNSS
Lukman Abdulmumin, Yusuf Ramalan, Haruna Ibrahim, Abubakar Adamu Musa
54
Monitoring Bathymetric Changes of Commodore Channel, Lagos Nigeria
Babatunde Anibaba, Peter Nwilo, Chukwuma Okolie, Michael Orji, Olagoke Daramola
58
Accuracy Assessment of Established Control within University of Lagos, Nigeria
Abiodun Alabi, Alfred Alademomi, Tosin Salami, Adedayo Okutubo, Wale Oyedokun
62
Establishment of a Geodetic Network for the Deformation Monitoring of the Third Mainland
Bridge
Samuel Akintoye, Hamed Olanrewaju, Hannah Abioye, Chukwuma Okolie, Samuel Akinnusi, Adegbite
Usman
66
Suitability Analysis of Solid Waste Dumpsites in Igabi Lga, Kaduna State Nigeria
Kaka Atta, MUHAMMAD NURA Idris, Yabo Stephen, Lukman Olawunmi Giwa
70
Comparative Analysis of Pedestrian Stride Length Methods
Nimet Karagöz, Fatih Gülgen
74
Monitoring and Prediction of Land Cover Change in Anambra River Basin Using Cellular
Automata and Markov Chain Technique
Peter Nwilo, Nna-Njar Gertrude Njar, Utibe Bassey Inyang, Chukwuma John Okolie, Olagoke Emmanuel
Daramola, Michael Joseph Orji, Hamed Olabode Olanrewaju, Samuel Akinbola Akinnusi, Andy Osagie
Egogo-Stanley
78
Geospatial Intelligence (Geoint) with Geographic Information Systems (GIS)
Halil İbrahim Onyil
82
Age and Gender Differences in Perceptions and Health Impacts of Noise in An Academic
Environment
Alfred Alademomi, Johanson Onyegbula, Rahmat Adepo, Chukwuma Okolie, Abiodun Alabi, Babatunde
Ojegbile, Olagoke Daramola, Nehemiah Alozie, Samuel Akinnusi, Taiwo Adewale
86
FAHP And GIS Based Land Use Suitability Analysis for Agriculture in Aksaray City, Turkey
Süleyman Sefa Bilgilioğlu
90
SFM Photogrammetry for Land Use Change Analysis in a Sub-Urban Area of Nigeria
Chima Iheaturu, Chukwuma Okolie, Solomon Musa, Emmanuel Ayodele, Andy Egogo-Stanley
94
Monitoring the Change of Coastline with Remote Sensing and GIS: A Case Study from Izmit and
Gemlik Gulfs, Turkey
Tümay Arda, Melis Uzar
97
Analysis of Land-Use/Land-Cover Dynamics in Ibadan Metropolis, Oyo State, Nigeria
Aliyu Zailani Abubakar, Swafiyudeen Bawa, Yahaya Abbas Aliyu, Tarwase Tosin Youngu, Usman Sa'i
Ibrahim, Ayo Olalekan Fatoyinbo
101
Fully Automated Drought Analysis from the Products of the Moderate Resolution Imaging
Spectroradiometer (MODIS)
Ali Levent Yagci
105
Development of a User-Friendly Program: “Real-Time Image Properties Display”
James Olaleye, Abiodun Alabi, Alfred Alademomi, Damilola Olatayo, Tosin Salami
109
Determination of Karina Lagoon Surface Area Water Temperature Changes Using Remote
Sensing Methods
Elif Akyel, Özşen Çorumluoğlu
113
Using Remote Sensing to Monitor Aerosol Optical Thickness (AOT) and Its Relationship with
Land Cover in Lagos Metropolis, Nigeria
Emmanuel Ayodele, Chukwuma Okolie, Samuel Akinnusi, Erom Mbu-Ogar, Olagoke Daramola,
Abdulwaheed Tella, Rose Alani, Alfred Alademomi
117
Mapping Federal Government dams in Nigeria
Sola Oluwayemi, Adedayo Olayiwola
121
Monitoring the spatial distribution of CO2 within the University of Lagos Main Campus
Alfred Alademomi, Musa Animashaun, Oluwatimileyin Abolaji, Chukwuma Okolie, Babatunde Ojegbile,
Olagoke Daramola, Nehemiah Alozie
124
Spatial relationship between NDVI, EVI, SAVI and Land Cover changes in the Lake Chad area
from 1987 to 2017
Peter Nwilo, Chukwuma Okolie, Abdulkareem Umar, Samuel Akinnusi, Babatunde Ojegbile, Hamed
Olanrewaju
128
Health impacts of noise exposure in an academic environment
Alfred Alademomi, Johanson Onyegbula, Rahmat Adepo, Chukwuma Okolie, Babatunde Ojegbile,
Abiodun Alabi, Olagoke Daramola, Nehemiah Alozie, Andy Egogo-Stanley, Inioluwa Ayantayo
132
Application of GIS and Analytical Hierarchy Process for Flood Vulnerability Assessment in
Adamawa Catchment, Nigeria
Ayila Adzandeh, Dupe Olayinka-Dosunmu, Isa Hamid-Mosaku, Chukwuma Okolie, Peter Nwilo, Caleb
Ogbeta
135
Locational Analysis Of Infrastructural Facilities İn Selected Oil And Non–Oil Producing Areas Of
Akwa İbom State
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* Corresponding Author
Cite this study
*(ali.shebl@science.tanta.edu.eg) ORCID ID 0000-
0001-7285-285X
(atallahm763@gmail.com) ORCID ID 0000-0001-
6708-2408
Surname N, Surname N & Surname N (2021). Title of the
study. 3rd Intercontinental Geoinformation Days (IGD),
page numbers, Mersin, Turkey
3rd Intercontinental Geoinformation Days (IGD) 17-18 November 2021 Mersin, Turkey
Intercontinental Geoinformation Days
igd.mersin.edu.tr
Vertical accuracy assessment of DEMs around Jabal al-Shayeb area, Egypt
Ali Shebl *1,2 , Mohamed A Atalla3,4 , Árpád Csámer 1
1 Debrecen University, Department of Mineralogy and Geology, Egyetem tér 1, 4032 Debrecen, Hungary
2 Tanta University, Department of Geology, Tanta 31527, Egypt.
3Higher Institute of Arts Studies, Geography Department, King Marriott, Egypt.
4Al-Arish University, Geography Department, faculty of arts, Egypt.
Keywords
ABSTRACT
DEMs
ALOS PALSAR
NASADEM
geomorphological
ASTER GDEM
As a quantitative and numerical representation of earth surface topography, Digital Elevation
Models (DEMs) are widely used in several applications including geological, hydrological, and
geographical Aspects. With the availability of several types of DEMs, various intrinsic errors
may be incorporated due to sensor acquisition inconveniences, or processing techniques
compared to the actual land surface measurements. Consequently, this study aims to analysis
and test the vertical accuracy of NASADEM, Advanced Spaceborne Thermal Emission and
Reflection RadiometerGlobal Digital Elevation Model (ASTER GDEM) and Advanced Land
Observing Satellite (ALOS) Phased Array L-type band Synthetic Aperture Radar (PALSAR)
DEM compared to the actual ground control points (GCPs) derived from topographic maps
through calculating Mean Absolute Percentage Error (MAPE) and Root Mean Square Error
(RMSE). Our results revealed the sublimity of ALOS PALSAR DEM over NASADEM and ASTER
GDEM. Thus, ALOS PALSAR DEM is recommended for further geomorphological studies.
1. INTRODUCTION
Over the last three decades, prolonged efforts
are dedicated to enhancing the capability of obtaining
accurate and enhanced global DEMS (Hirano et al., 2003;
Welch and Marko, 1981). Several environmental studies
mostly include a 3D representation of the investigated
locations utilizing DEMs. Thus, it becomes a fundamental
element in comprehensive environmental and
geomorphological studies. Dems significantly contribute
to solving geomorphological, agricultural, hydrological,
geological, pedological, and ecological problems (Pulighe
and Fava, 2017) and their modeling (Marzolff and
Poesen, 2009; Schumann et al., 2008; Siart et al., 2009).
DEMs could also be extracted from digital stereo imagery
(Pieczonka et al., 2011; Pulighe and Fava, 2017).
Whatever the source of utilized DEMs, assessing the
accuracy is an indispensable issue as errors could
directly cause unwise decisions that could finally
negatively affect the environment or human life. DEMs
are utilized in calculating Aspect and slope
maps(Ashmawy et al., 2018; Ibrahim-Bathis and Ahmed,
2016; Panahi et al., 2017; Shebl and Csámer, 2021;
Webster et al., 2006) that largely control the strength and
direction of several flash floods, which could cause
several geohazards. Consequently, this study aims to
assess the vertical accuracy of three widely utilized DEMs
to recommend the best for usage in further
investigations.
2. STUDY AREA
The study area (Jabal al-Shayeb area) is a mountainous
region, about 45 km southwest of Hurghada city, Egypt.
Jabal al-Shayeb area is located between latitudes 2654′,
27N and longitudes3323′,3329′E. It covers an area of
13 km x 11 km (143 km2). Elevations range from 710 m
up to over 2140 m a.s.l., the average slope is 20° and most
of the reliefs are facing southeast-west southwest. This
region is mostly covered by granitic rocks with some
occurences of Phanerozoic sedimentary rocks. Figure 1
depicts the study area and Figure 2 depicts the locations
of the GCPs collected from a 1:100,000 scale topographic
map (Military Survey Authority, 1992). The surface of the
study area is the result of combined influence of internal
and external processes, and the developed drainage
network in it was formed as a result of heavy rainfall,
during pluvial phases particularly in Pleistocene.
3rd Intercontinental Geoinformation Days (IGD) 17-18 November 2021 Mersin, Turkey
43
Figure 1. Location of the study site.
Source: https://lpdaac.usgs.gov
Figure 2. depicts the locations of the GCPs collected
from a 1:100,000 scale topographic map.
Source: topographic map scale 1:100,000
3. MATERIALS AND METHODS
In the current study, three DEMs are analysed
regarding their vertical accuracy and compared to
topographic maps. NASADEM product (30m) is a state-
of-the-art global digital elevation model derived from a
combination of SRTM processing improvements,
elevation control, void-filling, and merging with data
unavailable at the time of the original SRTM production.
NASA DEM is distributed in 1◦ by 1◦ tile and consist of
all land between 60◦ N and 56◦ S latitudes. For this
study, National Aeronautics and Space Administration
(NASA) DEM was obtained from the USGS web-based
data (https://lpdaac.usgs.gov/).
Figure 3. The colour levels represent the DSM dataset
and the reference DSM data.
Source: https://lpdaac.usgs.gov; topographic map
(modified after Military Survey Authority, 1996).
Advanced Spaceborne Thermal Emission and
Reflection RadiometerGlobal Digital Elevation Model
(ASTER GDEM) has 1 arc-second (30 m) spatial
resolution, and this project is done by the Ministry of
Trade, Economy and Industry (METI) of Japan and the
United States NASA to provide high-resolution DEM to
the public. The Advanced Land Observing Satellite
(ALOS) was launched on January 24, 2005. ALOS is
provided with the Phased Array L-type band Synthetic
Aperture Radar (PALSAR) for day-and-night and all-
weather land observation. PALSAR sensor is an active
microwave sensor (help to avoid weather barrier
conditions and day or night effect), L-band (1.27 GHz)
synthetic aperture radar aid at achieving high-resolution
DEM products (Shebl and Csámer, 2021). In the current
study, we applied Mean Absolute Percentage Error
(MAPE) which represents the average of absolute errors
divided by actual observation values. To ensure a wise
comparison, we resampled the ALOS PALSAR DEM data
(12.5m) to 30m (the same resolution for NASA and
ASTER DEMs). Then, the four DEMs including ALOS
PALSAR (12.5m), resampled ALOS PALSAR (30 m), NASA
(30 m) and ASTER (30 m) DEMs are used in the
mathematical calculations using 69 GCPs (which
represents the actual values in the current studies). As
shown in figures (2; 3). Using Extract Multi Values to
Points function in ArcMap, the points are compared then
evaluated according to equation 1.
3rd Intercontinental Geoinformation Days (IGD) 17-18 November 2021 Mersin, Turkey
44
Where At Ft represents the error value, | At -Ft| is
the absolute error value, n accounts for number of points
which is 69 point in the current study(fig.2).
Additionally, the Root Mean Square Error (RMSE)
(Hirano et al., 2003; Rawat et al., 2019; Santillan et al.,
2016; Zhao et al., 2011) +was calculated according to the
following equation.
Figure 4. Determination coefficient of the actual and
tested values for the four utilized DEMs.
4. RESULTS
Our results reported the effectiveness of ALOS PALSAR
DEM over NASA and ASTER DEMs. MAPE values were
2.71, 2.78, 3.68, and 4.01 for ALOS PALSAR (12.5m),
resampled ALOS PALSAR (30 m), NASA (30 m) and
ASTER (30 m) respectively. However, the data are
linearly correlated as shown in figure (4), the RMSE is a
significant value indicating the higher error value
between the measured (topographic) and DEM values.
RMSE values were 42.8, 41.4, 51.4, and 52.5 for ALOS
PALSAR (12.5m), resampled ALOS PALSAR (30 m), NASA
(30 m) and ASTER (30 m) respectively. This could be
attributed to the time gab between topographic map
measurements and DEMs data acquisition, however the
study strongly recommends DEMS evaluation in terms of
their accuracy whenever possible. ALOS PALSAR DEMs
(radar data) superiority was attributed to the absence of
weather conditions effect (Adiri et al., 2017; Shebl and
Csámer, 2021). It should be emphasized that the data
utilized for validation should be acquired at an
acquisition time closely related to that of the models to
be away from any inconveniences (e.g., anthropogenic or
natural changes that could affect the accuracy
assessment process).
5. CONCLUSION
In the current study, ALOS PALSAR DEM, NASA and
ASTER DEMs were evaluated regarding their vertical
accuracy to recommend the best for usage in future
geomorphological applications. Our results disclosed
That the three sensors delivered a reliable data for
further investigations however it is recommended to
implement PALSAR data as their Mean Absolute
Percentage Error is smaller than the others. Its higher
accuracy was attributed to independence of radar data
from any weather conditions.
REFERENCES
Adiri, Z., El Harti, A., Jellouli, A., Lhissou, R., Maacha, L.,
Azmi, M., Zouhair, M., Bachaoui, E.M., 2017. Comparison
of Landsat-8, ASTER and Sentinel 1 satellite remote
sensing data in automatic lineaments extraction: A case
study of Sidi Flah-Bouskour inlier, Moroccan Anti Atlas.
Adv. Sp. Res. 60, 23552367.
Ashmawy, M.H., Abd El-Wahed, M.A., Kamh, S.Z., Shebl, A.,
2018. Scientific Journal of Basic and Applied Sciences
Comparative study of the drainage basin morphometry
extracted from topographic maps and SRTM DEMs: an
example from Ghadir watershed, Eastern Desert, Egypt.
Sci JBAS 39, 5264.
Hirano, A., Welch, R., Lang, H., 2003. Mapping from
ASTER stereo image data: DEM validation and accuracy
assessment. ISPRS J. Photogramm. Remote Sens. 57, 356
370. https://doi.org/10.1016/S0924-2716(02)00164-8
Hirano, A., Welch, R., Lang, H., 2003. Mapping from
ASTER stereo image data: DEM validation and accuracy
assessment. ISPRS J. Photogramm. Remote Sens. 57, 356
370. https://doi.org/10.1016/S0924-2716(02)00164-8
Ibrahim-Bathis, K., Ahmed, S.A., 2016. Geospatial
technology for delineating groundwater potential zones
in Doddahalla watershed of Chitradurga district, India.
3rd Intercontinental Geoinformation Days (IGD) 17-18 November 2021 Mersin, Turkey
45
Egypt. J. Remote Sens. Sp. Sci. 19, 223234.
https://doi.org/10.1016/J.EJRS.2016.06.002
Marzolff, I., Poesen, J., 2009. The potential of 3D gully
monitoring with GIS using high-resolution aerial
photography and a digital photogrammetry system.
Geomorphology 111, 4860.
https://doi.org/10.1016/J.GEOMORPH.2008.05.047
Military Survey Authority, topographic maps, scale 1:
1,000,000 plates, Jabal al-Shayeb Al_banat, 1996
Panahi, M.R., Mousavi, S.M., Rahimzadegan, M., 2017.
Delineation of groundwater potential zones using remote
sensing, GIS, and AHP technique in TehranKaraj plain,
Iran. Environ. Earth Sci. 2017 7623 76, 115.
https://doi.org/10.1007/S12665-017-7126-3
Pieczonka, T., Bolch, T., Buchroithner, M., 2011.
Generation and evaluation of multitemporal digital
terrain models of the Mt. Everest area from different
optical sensors.
Pieczonka, T; Bolch, T; Buchroithner, M (2011). Gener.
Eval. multitemporal Digit. terrain Model. Mt. Everest area
from Differ. Opt. sensors. ISPRS J. Photogramm. Remote
Sensing, 66(6)927-940. 66, 927940.
https://doi.org/10.1016/J.ISPRSJPRS.2011.07.003
Pulighe, G., Fava, F., 2017. DEM extraction from archive
aerial photos: accuracy assessment in areas of complex
topography. https://doi.org/10.5721/EuJRS20134621
46, 363378.
https://doi.org/10.5721/EUJRS20134621
Rawat, K.S., Singh, S.K., Singh, M.I., Garg, B.L., 2019.
Comparative evaluation of vertical accuracy of elevated
points with ground control points from ASTERDEM and
SRTMDEM with respect to CARTOSAT-1DEM. Remote
Sens. Appl. Soc. Environ. 13, 289297.
https://doi.org/10.1016/J.RSASE.2018.11.005
Santillan, J.R., Makinano-Santillan, M., Makinano, R.M.,
2016. Vertical accuracy assessment of ALOS World 3D -
30M Digital Elevation Model over northeastern
Mindanao, Philippines. Int. Geosci. Remote Sens. Symp.
2016-November, 53745377.
https://doi.org/10.1109/IGARSS.2016.7730400
Schumann, G., Matgen, P., Cutler, M.E.J., Black, A.,
Hoffmann, L., Pfister, L., 2008. Comparison of remotely
sensed water stages from LiDAR, topographic contours
and SRTM. ISPRS J. Photogramm. Remote Sens. 63, 283
296.
https://doi.org/10.1016/J.ISPRSJPRS.2007.09.004
Shebl, A., Csámer, Á., 2021. Reappraisal of DEMs, Radar
and optical datasets in lineaments extraction with
emphasis on the spatial context. Remote Sens. Appl. Soc.
Environ. 24, 100617.
https://doi.org/10.1016/J.RSASE.2021.100617
Shebl, A., Csámer, Á., 2021. Stacked vector multi-source
lithologic classification utilizing Machine Learning
Algorithms: Data potentiality and dimensionality
monitoring. Remote Sens. Appl. Soc. Environ. 100643.
https://doi.org/10.1016/J.RSASE.2021.100643
Siart, C., Bubenzer, O., Eitel, B., 2009. Combining digital
elevation data (SRTM/ASTER), high resolution satellite
imagery (Quick bird) and GIS for geomorphological
mapping: A multi-component case study on
Mediterranean karst in Central Crete. Geomorphology
112, 106121.
https://doi.org/10.1016/J.GEOMORPH.2009.05.010
Webster, T.L., Murphy, J.B., Gosse, J.C., Spooner, I., 2006.
The application of lidar-derived digital elevation model
analysis to geological mapping: An example from the
Fundy Basin, Nova Scotia, Canada. Can. J. Remote Sens.
32, 173193. https://doi.org/10.5589/m06-017
Welch, R., Marko, W., 1981. Cartographic potential of a
spacecraft line-array camera system - Stereosat. PgERS
47, 11731185.
Zhao, S., Cheng, W., Zhou, C., Chen, X., Zhang, S., Zhou, Z.,
Liu, H., Chai, H., 2011. Accuracy assessment of the
ASTER GDEM and SRTM3 DEM: an example in the Loess
Plateau and North China Plain of China.
https://doi.org/10.1080/01431161.2010.532176 32,
80818093.
https://doi.org/10.1080/01431161.2010.532176
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