Abdelgadir Abuelgasim

Abdelgadir Abuelgasim

United Arab Emirates University

H-index: 19

Asia-United Arab Emirates

Abdelgadir Abuelgasim Information

University

United Arab Emirates University

Position

Associate Professor College of Humanities and Social Sciences

Citations(all)

1825

Citations(since 2020)

670

Cited By

1334

hIndex(all)

19

hIndex(since 2020)

15

i10Index(all)

34

i10Index(since 2020)

23

Email

University Profile Page

United Arab Emirates University

Abdelgadir Abuelgasim Skills & Research Interests

GIS

Soil Salinity

Environmental Remote Sensing and Image Processing

ORCID 0000-0001-8897-4181

Top articles of Abdelgadir Abuelgasim

A Comprehensive Machine and Deep Learning Approach for Aerosol Optical Depth Forecasting: New Evidence from the Arabian Peninsula

Accurate forecasting of environmental pollution indicators holds significant importance in diverse fields, including climate modeling, environmental monitoring, and public health. In this study, we investigate a wide range of machine learning and deep learning models to enhance Aerosol Optical Depth (AOD) predictions for the Arabian Peninsula (AP) region, one of the world’s main dust source regions. Additionally, we explore the impact of feature extraction and their different types on the forecasting performance of each of the proposed models. Preprocessing of the data involves inputting missing values, data deseasonalization, and data normalization. Subsequently, hyperparameter optimization is performed on each model using grid search. The empirical results of the basic, hybrid and combined models revealed that the convolutional long short-term memory and Bayesian ridge models significantly outperformed …

Authors

Ahmad Qadeib Alban,Ammar Abulibdeh,Lanouar Charfeddine,Rawan Abulibdeh,Abdelgadir Abuelgasim

Journal

Earth Systems and Environment

Published Date

2024/4/29

The Three-Dimensional Visualization of Mars Dust Storms Based on Deriving Digital Elevation Maps from Satellite Imagery

This work focuses on generating a Three-Dimensional Visualization of Mars's local dust storms utilizing satellite images from publicly available archives. The work aimed to create a Three-Dimensional Visualization of two Local Dust storms, the first local dust storm occurred on May 20, 2020, in the Chryse Planitia Region of Mars, while the second one occurred on 8 June 2021, on the northern side of the Utopia Planitia Region of Mars. The visualization will assist in providing a better understanding of the dynamics of Dust Storms on Mars by indicating and analyzing the main features of dust storms on Mars. Also, describe the steps required to create a Three-Dimensional Visualization using several missions, tools, and software. The workflow began with the MeteoMARS tool identifying the Local Dust Storm by viewing global maps of Mars from the Mars Color Imager\Mars Reconnaissance Orbiter Mission. Following that, observation of Local Dust Storms. Then, using The Cartography and Imaging Sciences Discipline Node of the Planetary Data System to download the images and The Integrated Software for Imagers and Spectrometers processes the images and generates the files required for calculating the main features of a Mars dust storms such as the Sun azimuth angle and the Sun incidence angle of the dust storm. Then, the calculations of the dust height from the dust storm's shadow began. Furthermore, for the visualization, a generation of 6 tables listing the Dust Storm Heights associated with each longitude and latitude. The visualization was then created using PYTHON and QGIS software. According to the findings, the first dust storm (20 …

Authors

Meirah Ali Alzeyoudi

Published Date

2023

Soil salinity prediction using Machine Learning and Sentinel–2 Remote Sensing Data in Hyper–Arid areas

We are experiencing a considerable increase in soil salinity as a result of the influence of climate change or environmental contamination produced by excessive industry and agriculture. To be able to cope with this issue, reliable and up-to-date soil salinity measurements are required. The use of remote sensing data allows for faster and more efficient soil salinity mapping. This paper investigates several Machine Learning approaches and modeling methodologies for predicting soil salinity in hyper-arid environments using Sentinel-2 satellite imagery. Thus, 393 soil samples collected and used for modeling and testing in the study area, United Arab Emirates. Also, the paper benefits from open-source data and programs, such as Google Earth Engine and Weka. Different modeling strategies have been applied over the data. The results of the modeling show a strong correlation (0.84) with the test results. This study …

Authors

Gordana Kaplan,Mateo Gašparović,Abduldaem S Alqasemi,Alya Aldhaheri,Abdelgadir Abuelgasim,Majed Ibrahim

Journal

Physics and Chemistry of the Earth, Parts A/B/C

Published Date

2023/6/1

Temporal variations of United Arab Emirates coastline from 1991 to 2021

In the context of global sea level rising, coasts are directly impacted. The retreat to coastlines and submersion of anthropic installations are among the major impacts. It is thus imperative to continuously monitor the coastlines status and devise the means and techniques to effectively assess their status. The United Arab Emirates (UAE) for example is a country which has a long sandy coastline. In this research, an algorithm was developed that makes use of remote sensing temporal data to assess the variability of the coastline in the UAE. The algorithm is used to automatically extract the whole coastline between 1991 and 2021 from Landsat 5 and 8 satellite images. They were selected for 1991, 2001, 2013 and 2021 because of the availability of data, and the significant changes that have been done in coastal areas due to urban development during this period. Only the Landsat spectral bands of green and near …

Authors

Justine Sarrau,Abdelgadir Abuelgasim

Journal

EGU General Assembly Conference Abstracts

Published Date

2023/5

CRITICALITY OF SUSTAINABLE DISASTER MANAGEMENT THROUGH COMMUNICATION, SITUATIONAL AWARENESS, AND RESOURCE MANAGEMENT

The sustainability development process is crucial towards the management of disasters. This study describes the criticality of communication, situational awareness and resource management as part of an effective disaster management process during response and early recovery in minimizing the impact of disasters and their losses. Being part of a larger research, the study utilizes a validated and published checklist to observe lead responding agencies and is validated via three validation approaches involving exercise logs by the exercise controller, lead agency officers at the site, and final emergency exercise reports. Results are also reinforced with a survey questionnaire towards lead responding agency decision-makers during disasters. Both methods allow the researcher to differentiate between the respondent's real-time response and the intended outcome. It is found that the enhancement of institutional capacities of nations' emergency responders can significantly improve and ensure sustainability in managing disasters through effective emergency management elements of communication, situational awareness and resource management. Hence, it is agreed that emergency responders should adopt a system-thinking approach and computer-aided decision support system for the management of emergencies and disasters.

Authors

S Khairilmizal,MF Hussin,Khameis Alabdouli,AF Ashwin,K Ainul Husna,AF Hashim,Abdelgadir Abuelgasim

Journal

Journal of Southwest Jiaotong University

Published Date

2023

Land surface deformation monitoring in the Al-Ain arid region (UAE) using microgravity and SAR interferometry surveys

The integration of geophysical and satellite-based monitoring techniques can yield new insights in land surface deformation (LSD) studies. In this study, we integrated the microgravity monitoring geophysical technique with Interferometry Synthetic Aperture Radar (InSAR) to reveal the possible sources of LSD changes. A microgravity survey was conducted over Al-Ain city for 1 year at one-month intervals, with time-lapse microgravity changes calculated based on the results. Over the same area of interest and time interval, InSAR analysis was performed using Sentinel-1 (C-band) data. The time-lapse microgravity changes for the whole studied period ranged from −36 to 365 μGal. The InSAR processing showed periodic land surface deformation over the area of interest varying with the season of the year. The InSAR technique detected land surface subsidence at the northeast and western parts of the study area (−7 …

Authors

Muhagir El Kamali,Hakim Saibi,Abdelgadir Abuelgasim

Journal

Environmental Research

Published Date

2022/9/1

Effects of Regional and Global Dust Storms on the Ion Composition of the Martian Upper Atmosphere as Observed by MAVEN

The Neutral Gas and Ion Mass Spectrometer (NGIMS) of the Mars Atmosphere and Volatile Evolution mission (MAVEN) data are used to analyze the densities of three ion species in the Martian upper atmosphere. The trends of the dayside densities of the ion species were examined between September 10-October 4, 2016, and May 27-June 18, 2018, at altitudes 160-240 km to cover the periods before, the onset, and the growth of the MY33 and MY34 regional and global dust storms respectively. The regional dust storm of 2016 caused variations in the O2+, CO2+, and O+ abundances between 170-200 km pre-storm (September 16-20) and during the storm (September 21-October 2), where changes are more significant at altitudes larger than 180 km. From September 16-21, 2016 densities of the three ion species decreased by∼ 55%%(altitudes 190-200 km) compared to September 13, 2016. After the storm onset …

Authors

Ashraf Farahat,Paul Withers,Majd Matta,Maher A Dayeh,Abdelgadir Abuelgasim

Journal

44th COSPAR Scientific Assembly. Held 16-24 July

Published Date

2022/7

Retrieval of monthly maximum and minimum air temperature using MODIS aqua land surface temperature data over the United Arab Emirates

Spatially distributed air temperature (Ta) data are essential for environmental studies. Ta data are collected from meteorological stations of sparse distribution. This problem can be overcome by using remotely sensed datasets at different scales. This study used land-based temperature measurements and satellite data for estimating Ta distribution over the United Arab Emirates. Land-based Ta data from 11 weather stations during 2003 to 2019 were used with MODIS Aqua LST for both daytime (LSTd) and nighttime (LSTn) data. The results indicate a significant correlation between LST and Ta with regression coefficients R2 > 0.94/0.96 and Root Mean Square Error about 1.75/0.97 °C of LSTd/Tmax and LSTn/Tmin, respectively. Large variability was observed between the daytime and nighttime mean temperature distribution indicating the importance of MODIS LST as a proxy for Ta. These countrywide Ta grids …

Authors

Abduldaem S Alqasemi,Mohamed E Hereher,Ayad M Fadhil Al-Quraishi,Hakim Saibi,Ala Aldahan,Abdelgadir Abuelgasim

Journal

Geocarto International

Published Date

2022/7/19

Land Surface Movement Driven by Groundwater Dynamics

Land surface subsidence is a catastrophic phenomenon that leads to a loss of lives and infrastructures. In arid climates, such as the United Arab Emirates (UAE), water resources are limited and rely on groundwater as the main water resource for domestic and agricultural sectors. The increasing demand for water in the country results in overexploiting the groundwater resources which can be the main cause for land surface subsidence. Monitoring of land surface subsidence can be achieved by various techniques such as leveling survey, Global Positioning System (GPS), and Interferometric Synthetic Aperture Radar (InSAR) techniques. In this study, the InSAR technique has been implemented with the Sentinel-1A images to monitor land surface subsidence over the agricultural areas in the UAE between 2015 and 2019. The results showed significant ground subsidence in spatial accordance with agricultural …

Authors

M Elkamali,C Loupasakis,I Papouptsis,A Abuelgasim

Published Date

2022/3/1

Monitoring of land surface subsidence using persistent scatterer interferometry techniques and ground truth data in arid and semi-arid regions, the case of Remah, UAE

The United Arab Emirates (UAE) is located in an arid desert climate with very limited water resources and scarce rainfall. Along with the fast development of the country, the water demand for agriculture, industrial, and domestic purposes increased and led to diminishing groundwater resources. In this study, we explore the land surface deformations due to groundwater overexploitation in the agricultural area of Remah by analyzing Sentinel-1 data between 2015 and 2019 with the novel Parallelized-Persistent Scatterer Interferometry (P-PSI) technique. The detected land surface deformations have been correlated to the recorded groundwater levels at nearby water wells. This study detected land surface deformations in a form of an extensive subsidence bowl (with 28.5 km in diameter) with a maximum subsidence rate of 40 mm/year and a standard deviation within the bowl of less than 2 mm/year. The detected …

Authors

Muhagir El Kamali,Ioannis Papoutsis,Constantinos Loupasakis,Abdelgadir Abuelgasim,Khalid Omari,Charalampos Kontoes

Journal

Science of the Total Environment

Published Date

2021/7/1

Effects of aerosols on lightning activity over the Arabian Peninsula

Lightning activity is one of the global natural hazards that poses significant risks on human life and numerous aspects of the society's technological infrastructure. Understanding the linkage between aerosols present in the atmosphere and lightning activity is important to further advance our knowledge of the global lightning activity cycle. The southwestern region of the Arabian Peninsula (AP) is home to one of the 500 hottest lightning spots in the world, and is not far from the largest contiguous sand desert in the world, the Empty Quarter (al-Rubea Al-Khali). Using data of individual lightning strokes from the the Global Lightning Detection Network (GLD360), in conjunction with remote sensing measurements of the aerosol optical depth (AOD) obtained at 500 nm from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard the Terra and Aqua satellites during active lightning days, we …

Authors

Maher A Dayeh,Ashraf Farahat,Haifa Ismail-Aldayeh,Abdelgadir Abuelgasim

Journal

Atmospheric Research

Published Date

2021/10/15

Characterizing dust‐radiation feedback and refining the horizontal resolution of the MarsWRF model down to 0.5 degree

In this study, three simulations by the Mars Weather Research and Forecasting Model are compared: two 10 Martian year (MY) 2° × 2° simulations with (i) fully radiatively active dust and (ii) a prescribed dust scenario, and a (iii) 1 MY 0.5° × 0.5° simulation with prescribed dust as in (ii). From comparing (i) and (ii), we found that the impact of dust‐radiation feedback is individually different for any region. The most striking evidence are major dust lifting activities to the south of Chryse Planitia (S‐CP) seen in (i) but not in (ii). By contrast, dust lifting and deposition on the southern slopes and inside the Hellas Basin are similar in both simulations. The latter, in turn, points toward a similar near‐surface atmospheric circulation. In (iii), the total global amount of wind stress lifted dust is by a factor of ∼8 higher than in (ii), with S‐CP being a major lifting region as in (i). Nonetheless, the surface dust lifting by wind stress in (iii) may …

Authors

C Gebhardt,A Abuelgasim,Ricardo M Fonseca,Javier Martín‐Torres,M‐P Zorzano

Journal

Journal of Geophysical Research: Planets

Published Date

2021/3

Comparative Analysis of Pollutant Levels during Lockdowns Across Different Land-Use over the Emirate of Abu Dhabi, United Arab Emirates

The outbreak of the COVID-19 pandemic has had a significant effect on people all over the world, posing health, economic, and social threats to the entire human population. As a part of preventive measures, at the end of March 2020 the UAE promulgated various lockdown measures to reduce the risk of the pandemic, which have a major impact on its local air quality levels. This research investigates the effect of the lockdown measures on the levels of the air pollutants like NO2 and PM2.5in Abu Dhabi Emirate using air quality stations data for the months of March and April 2020. Overall, NO2 levels have fallen dramatically by a range of 19% to 60% across all land use areas within the Emirate. Conversely, PM2.5 levels varied during the lockdown in April 2020, with increases ranging from 31% to 65% in rural and suburban industrial areas and decreases ranging from 2% to 33% in urban and suburban population …

Authors

Khaula Alkaabi,Abdelgadir Abuelgasim

Journal

The Arab World Geographer

Published Date

2021/9/1

Effect of cloud seeding on aerosol properties and particulate matter variability in the United Arab Emirates

In this study, satellite data and those obtained from air quality monitoring stations were used to evaluate the effect of cloud seeding missions conducted from January 2017 to March 2017 in the United Arab Emirates (UAE). To determine PM variability during and after the cloud seeding missions, information on daily mean particulate matter (PM10 and PM2.5) concentrations obtained from 20 air quality ground-based stations was analyzed from January 2017 to April 2017. The stations were divided according to four distinct geographic zones, which include petrochemical and non-petrochemical industrial, residential, and low populated areas. Moreover, data from the MAIAC 1-km product (MCD19A2) obtained using the Moderate Resolution Imaging Spectroradiometer onboard the Terra satellite were used to identify the correlation between aerosol optical depth and ground PM concentrations. The results …

Authors

A Farahat,A Abuelgasim

Journal

International Journal of Environmental Science and Technology

Published Date

2021/2

Effects of the June 2018 Global Dust Storm on the Atmospheric Composition of the Martian Upper Atmosphere as Observed by MAVEN

The densities of six neutral species in the Martian upper atmosphere were analyzed before and during the 2018 Martian global dust storm (GDS 2018) using data from the Neutral Gas and Ion Mass Spectrometer of the Mars Atmosphere and Volatile EvolutioN mission. The trends of the dayside densities of the neutral species and their relative abundances were investigated between May 27 and June 17, 2018, at altitudes of 160–210 km. GDS 2018 caused variations in the neutral species abundance of the upper atmosphere at its onset in June 5–8, 2018, with the CO2, Ar, CO, O, N2, and He densities decreasing relative to prestorm conditions. The densities of the examined neutral species increased during the storm, except those of O and He. During the storm, the relative abundances of CO2 and Ar increased, while those of CO and O decreased and those of N2 and He remained the same. The variation in the …

Authors

A Farahat,M Mayyasi,P Withers,M Dayeh,A Abuelgasim

Journal

Journal of Geophysical Research: Planets

Published Date

2021/9

ASSESSING THE IMPACTS OF SEA LEVEL RISE ON LAND-USE ACROSS THE NORTH-EASTERN PARTS OF THE UAE COASTAL AREAS USING REMOTE SENSING TECHNOLOGY

The consequences of global warming and climate change would result in a considerable rise in sea level. Other larger consequences on coastal lands, agriculture, buildings, and facilities are expected. The goal of this study is to assess the effects of Sea-Level Rise (SLR) on various land uses in the UAE's North-Eastern coastal districts (Fujairah and Kalba cities). Four SLR scenarios will be developed through the QGIS platform and the Landsat images that have been acquired from the USGS Earth Explorer. The area will be observed over 20 years (2000–2020). The second goal of this study is to develop a coastal vulnerability index that can support policy-makers and stakeholders in developing strategic plans in order to be prepared for the effects of this phenomenon in the most vulnerable areas. A confusion matrix was conducted to assess the accuracy of the land classifications in the study resulting in an 80% classification accuracy. The level of damages due to SLR in the year 2000 will rise to 21%, 27%, and 7% of the agricultural, built up, and open areas respectively. However, it will reach 29%, 28%, and 8% for the same areas in the year 2020. Around 15% of the study area in the year 2000 is considered to have high vulnerability to SLR where about 29% of the study area in the year 2020 is considered to have high vulnerability to SLR. The development projects in the study area have increased throughout 20 years and it is the most affected by SLR. It is widely assumed that any future actions and preparations to mitigate the impact of SLR should focus on the vulnerable areas mentioned above. Proper early planning for long-term …

Authors

Khawla Ali Mohammed Albedwawi

Published Date

2021

Potential and limits of vegetation indices compared to evaporite mineral indices for soil salinity discrimination and mapping

The study aims to analyze the ability of the most popular and widely used vegetation indices (VI’s), including NDVI, SAVI, EVI and TDVI, to discriminate and map soil salt contents compared to the potential of evaporite mineral indices such as SSSI and NDGI. The proposed methodology leverages on two complementary parts exploiting simulated and imagery data acquired over two study areas, i.e. Kuwait-State and Omongwa salt-pan in Namibia. In the first part, a field survey was conducted on the Kuwait site and 100 soil samples with various salinity levels and contents were collected; as well as, herbaceous vegetation cover canopy (alfalfa and forage plants) with various LAI coverage rates. In a Goniometric-Laboratory, the spectral signatures of all samples were measured and transformed using the continuum removed reflectance spectrum (CRRS) approach. Subsequently, they were resampled and convolved in the solar-reflective spectral bands of Landsat-OLI, and converted to the considered indices. Meanwhile, soil laboratory analyses were accomplished to measure pHs, electrical conductivity (EC-Lab), the major soluble cations and anions; thereby the sodium adsorption ratio was calculated. These elements support the investigation of the relationship between the spectral signature of each soil sample and its salt content. Furthermore, on the Omongwa salt-pan site, a Landsat-OLI image was acquired, pre-processed and converted to the investigated indices. Mineralogical ground-truth information collected during previous field work and an accurate Lidar DEM were used for the characterization and validation procedures on this second …

Authors

Abdou Bannari,Abdelgadir Abuelgasim

Journal

Soil

Published Date

2021/8

Fully Interactive and Refined Resolution Simulations of Mars Dust Storms by the MarsWRF Model

Fully Interactive and Refined Resolution Simulations of Mars Dust Storms by the MarsWRF Model - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS Fully Interactive and Refined Resolution Simulations of Mars Dust Storms by the MarsWRF Model Gebhardt, Claus ; Martin-Torres, Javier ; Fonseca, Ricardo M. ; Abuelgasim, Abdelgadir ; Zorzano, Maria-Paz Abstract The MarsWRF Global Climate Model (GCM) is a Martian implementation of the terrestrial Weather Research and Forecasting (WRF) model [1]. In interactive dust mode, MarsWRF simulates the Martian dust cycle in a fully self-consistent manner (ie with no external forcing). This means that dust is freely lifted from the surface by 2 mechanisms, dust devils and near-surface wind stress. The lifted dust is injected into the planetary boundary layer, advected by the winds, and deposited back on the surface. In the dust devil and near-…

Authors

Claus Gebhardt,Javier Martin-Torres,Ricardo M Fonseca,Abdelgadir Abuelgasim,Maria-Paz Zorzano

Journal

43rd COSPAR Scientific Assembly. Held 28 January-4 February

Published Date

2021/1

Spatiotemporal variations and long term trends analysis of aerosol optical depth over the United Arab Emirates

This research provides a comprehensive long term time series analysis of the spatiotemporal variability of aerosol optical depth (AOD) over the United Arab Emirates (UAE) using MODIS (Moderate-resolution imaging spectroradiometer) MAIAC (Multi-Angle Implementation of Atmospheric Correction) AOD (aerosol optical depth) product for the period 2003–2018. The UAE is located in one of the driest places on earth, the Arabian Peninsula, with two large extended desert regions that form major atmospheric dust sources in the world. The atmospheric dust emitted by these vast deserts is transported locally and regionally and it is the primary major contributor to the overall aerosol optical depth in this area. The investigation of the spatiotemporal trends of AOD over the UAE showed a significant obvious annual seasonal variability. Results showed a significant increase in AOD during summer due to high wind speed …

Authors

Abdelgadir Abuelgasim,Muhammad Bilal,Ibrahim Abdalla Alfaki

Journal

Remote Sensing Applications: Society and Environment

Published Date

2021/8/1

Thermal structure anomalies in eastern Abu Dhabi from remote sensing and geophysics

Thermal anomalies were discovered in eastern Abu Dhabi Emirate (UAE) during mid-August 2018. The thermal anomalies were obtained through MODIS satellite data and were further substantiated by Bouguer gravity anomaly data. The MODIS satellite data showed a decrease of land surface temperature (10 °C in 17th August and 2 °C in 24th August 2018) in some parts of the eastern Abu Dhabi compared to the surrounding regions. The Bouguer gravity map of UAE indicates a low Bouguer anomalies (-90 mGal to -40 mGal) trending in NW-SE and is located along the same thermal remote sensing anomalies. The low Bouguer anomalies are interpreted as a graben structure that facilitates the groundwater channeling from the recharge zones in Oman Mountains, then discharging into the Arabian Gulf, and thereby creating the low thermal anomaly observed in the region by the remote sensing data.

Authors

ASF Alqasemi*,H Saibi,A Abuelgasim,A Aldahan

Published Date

2020/4/3

Investigations on PM10, PM2.5, and Their Ratio over the Emirate of Abu Dhabi, United Arab Emirates

Worldwide monitoring of ambient outdoor air quality is critical for planning mitigation measures and controls for public safety. Several airborne pollutants are measured and continuously monitored by multiple government environmental agencies. Such pollutants include particulate matter (PM) levels, both PM10 and PM2.5, ozone, nitrogen dioxide, sulfur dioxide, carbon monoxide, lead, and volatile organic compounds. However, scientific studies related to air pollution and the temporal variability of PM levels in the United Arab Emirates are limited. This study comprehensively analyzes the spatiotemporal variations in PM10, PM2.5, and the PM2.5/PM10 ratio over the Emirate of Abu Dhabi in the United Arab Emirates during 2017–2018. The PM levels are high during April–September, peaking in July each year, likely because of intense dust and sandstorms; the same levels are low during October–March …

Authors

Abdelgadir Abuelgasim,Ashraf Farahat

Journal

Earth Systems and Environment

Published Date

2020/12

Effect of dust loadings, meteorological conditions, and local emissions on aerosol mixing and loading variability over highly urbanized semiarid countries: United Arab Emirates …

Long-term natural and anthropogenic aerosol characteristics over the United Arab Emirates (UAE) are investigated in this study. Aerosol characteristics were analyzed using data from the Moderate Resolution Imaging Spectroradiometer (MODIS), local meteorological stations, and the Aerosol Robotic Network (AERONET) ground-based station during 2006–2015. AOD values significantly increase during the spring and summer seasons and are associated with dust loading during major dust events. The mean annual variation of aerosol loading indicates about a 4.32 and a 11.36% change in the AOD and Ångström Exponent (AE), respectively, during the study period. Monthly trends show larger AOD and AE variability, 5.4 and 37.8% respectively, with higher aerosol concentrations during the summer. In general, from November to March an upward trend in aerosol characteristics is observed from 2011 to 2015 …

Authors

Abdelgadir Abuelgasim,Ashraf Farahat

Journal

Journal of Atmospheric and Solar-Terrestrial Physics

Published Date

2020/3/1

Evaluation of the Nile River flooding in the Khartoum capital using Sentinel-1 imagery

In the past few months historical rainfalls have been recorded in the African great lakes area and on the Blue Nile basin. This significant rainfall has led to major floods along both the Blue and White Niles resulting in a devastating loss of life, property, and wealth in both Ethiopia and Sudan. Khartoum, the capital city of Sudan, witnessed the highest level of the Nile River since the previous highest levels in 1988. This study aims to map the flood-damaged area around the two main tributaries of the Nile River; the White Nile and the Blue Nile. This study evaluates the flooded area around both the White Nile and the Blue Nile inside Sudan using Synthetic Aperture Radar (SAR) technology. This technology is an inevitable data source for flood mapping and monitoring due to it is the ability to acquire data over Earth’s surface during any weather conditions and day or night. Sentinel-1 data (C-band) presents a valuable data source to map the flood-damaged area due to it is sensitivity to water bodies and moisture content and more important a free data access to the Sentinel-1 within 24 hours from acquisition. Moreover, the temporal resolution of Sentinel-1 data enables flood mapping in near real-time. Our approach combined elevation and land cover data with Sentinel-1 data to evaluate the flood-damaged area. Mapping the flood-damaged areas relied on the SAR statistics after radiometric and geometric corrections. Classification techniques have been performed to map the flooded areas and land cover data have been superimposed to separate the main water body from the flood-damaged area. Sentinel-1 data acquired during Fall (June, July, and …

Authors

M El Kamali,A Abuelgasim

Published Date

2020/10

APPLICATIONS OF LAND SURFACE TEMPERATURE FROM SATELLITE REMOTE SENSING OVER THE UNITED ARAB EMIRATES (UAE)

In cities worldwide, increasing urbanization causes major land use and land cover changes on the surface of the Earth. It has been identified as being one of the most important anthropogenic effects on the climate. As a result, rapid population growth and the rise in industrialization in the United Arab Emirates (UAE) may have created substantial environmental stress and consequence for life quality. Remote sensing-based Land Surface Temperature (LST) is significantly essential for different studies. Satellite images obtained by the Moderate Resolution Imaging Spectroradiometer (MODIS) are used to retrieve LST. This research consists of an introduction and five components of some MODIS LST applications over the UAE:(1) detect the thermal anomaly for groundwater flow after rainy day;(2) investigate the relationship between soil salinity and LST;(3) estimate the air temperature;(4) study the night Surface Urban Heat Island (SUHI);(5) detect the effect of the lockdown of COVID-19 on air pollutants and SUHI. The results demonstrate that the thermal anomaly was identified following a rainy day, which can be utilized to predict the optimal groundwater resources. The salinity of the soil showed a high correlation with MODIS LST at night. In addition, the air temperature estimation study indicated the significance of the MODIS LST as a credible proxy for air temperature. As regards the SUHI over the city of Dubai, it has risen gradually with the growth of the city. Furthermore, the increased amount of SUHII is mostly concentrated in high and dense buildings. Further, the maximum SUHI intensity was registered by Dubai International Airport. In …

Authors

Abduldaem Saeed Farea Qasem Alqasemi

Published Date

2020

A reasoned bibliography on SAR interferometry applications and outlook on big interferometric data processing

In the past few decades, Synthetic Aperture Radar Interferometry (InSAR) has proven to be a reliable tool for monitoring land surface deformations occurring naturally (landslides, earthquakes, and volcanoes) or due to some anthropogenic activities, such as extraction of underground materials (, e.g., groundwater, oil, and gas) with acceptable accuracy. The availability of SAR data from various satellites have significantly improved this technology further notably with collecting data from different radar frequencies (X-, C-, and L-band), different spatial resolutions, increased revisit times and diverse imaging geometry including both along ascending and descending orbits. This review provides a description about the InSAR state-of-the-art technology and how it has been effectively used for detecting surface deformations. The techniques of Persistent Scatterer Interferometry, Small Baseline Subset, Stanford Method for …

Authors

Muhagir El Kamali,Abdelgadir Abuelgasim,Ioannis Papoutsis,Constantinos Loupasakis,Charalampos Kontoes

Published Date

2020/8/1

HYPERSPECTRAL PROPERTIES OF DATE PALM TREES (PHOENIX DACTYLIFERA L.)

The goal of this study is to classify the Date Palm varieties based on hyperspectral signature technology since it is difficult to identify the Date Palm cultivars without fruits. It will also help to obtain the hyperspectral signature for different types of date palm trees. Moreover, it also assists to determine the wavelength fingerprint of each cultivar and to recommend the best classification protocol differentiating among different cultivars based on spectral signature. Utilizing the Hyperspectral imaging technology precisely on the leaves of different Date Palm cultivars, thus facilitating identification of date palm cultivars without the fruits and make the spatial classification. Hyperspectral benefits enable to detect mixtures of materials within same pixel, to identify specific materials with high degree of accuracy, to get some measure of relative abundance based on depth of absorption features and, to produce the quantitative (rather than qualitative) results. For the treatments, in this study, the six cultivars of Date Palm trees (Barhi, Khadrawi, Khenaizi, Khalas, Fard and Helali) were tested. Ten samples for each cultivar from tissue culture were taken and tested considering the same age and identical conditions (control). Later, the samples were analyzed by using the RGB bands. Analyzing the tissue culture samples, the overall results indicate that, each cultivar of the Date Palm tree has the different spectral signature

Authors

Mohamed Ali Saeed Ahmed Al Abdouli

Published Date

2020

Impact of desert urbanization on urban heat islands effect

The United Arab Emirates (UAE) has undergone major urban transformation after the establishment of the country in 1971. One noticeable change is urban expansion in terms of massive infrastructure, including new residential areas, highways, airports, and sophisticated transportation systems. Major landscape changes and disturbances, such as urban development, are among the major contributors to global climate change. Urban areas can be 3.5°C - 4.5°C warmer than neighboring rural areas, a phenomenon known as urban heat islands (UHIs). As such, urban development in the UAE was expected to follow a similar pattern and to be a major contributor to the country’s impact on global climate change. Analyses of multi-temporal (1988-2017) land surface temperature (LST) data obtained from Landsat satellite datasets over a desert city in the UAE showed unexpected results. Urbanization of desert surfaces in the study area led to a decrease of 3°C - 5°C in the overall LST. This was attributed to the associated expansion of green spaces in the newly developed urban areas, the expansion of date plantations and perhaps a cooling in the previously desert surface. Therefore, the UHI effect was not well demonstrated in the studied desert surfaces converted to urban areas.

Authors

Latifa Saeed Al Blooshi,Abdelgadir Abuelgasim,Ahmad Nassar,Taoufik Ksiksi

Journal

Open Journal of Geology

Published Date

2020/7/16

Sentinel-msi and landsat-oli data quality characterization for high temporal frequency monitoring of soil salinity dynamic in an arid landscape

Although the Sentinel-MSI and Landsat-OLI are designed to be similar, they have different spectral, spatial and radiometric resolutions. In addition, relative spectral response profiles characterizing the filters responsivities of the both instruments are not identical between the homologous bands. This paper analyse the difference between the reflectance in the homologous spectral bands of MSI and OLI sensors, VNIR and SWIR, for high temporal frequency monitoring of soil salinity dynamic in an arid landscapes. In addition, their conversion in term of Soil Salinity and Sodicity Index (SSSI) and in term of Semi-Empirical Predictive Model (SEPM) for soil salinity mapping were compared. To achieve these, analyses were performed on simulated data and on two pairs of images (MSI and OLI) acquired over the same area in July 2015 and August 2017 with one day difference between each pair. The results obtained …

Authors

Abdou Bannari,Nadir Hameid Mohamed Musa,Abdelgadir Abuelgasim,Ali El-Battay

Journal

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Published Date

2020/5/21

Abdelgadir Abuelgasim FAQs

What is Abdelgadir Abuelgasim's h-index at United Arab Emirates University?

The h-index of Abdelgadir Abuelgasim has been 15 since 2020 and 19 in total.

What are Abdelgadir Abuelgasim's top articles?

The articles with the titles of

A Comprehensive Machine and Deep Learning Approach for Aerosol Optical Depth Forecasting: New Evidence from the Arabian Peninsula

The Three-Dimensional Visualization of Mars Dust Storms Based on Deriving Digital Elevation Maps from Satellite Imagery

Soil salinity prediction using Machine Learning and Sentinel–2 Remote Sensing Data in Hyper–Arid areas

Temporal variations of United Arab Emirates coastline from 1991 to 2021

CRITICALITY OF SUSTAINABLE DISASTER MANAGEMENT THROUGH COMMUNICATION, SITUATIONAL AWARENESS, AND RESOURCE MANAGEMENT

Land surface deformation monitoring in the Al-Ain arid region (UAE) using microgravity and SAR interferometry surveys

Effects of Regional and Global Dust Storms on the Ion Composition of the Martian Upper Atmosphere as Observed by MAVEN

Retrieval of monthly maximum and minimum air temperature using MODIS aqua land surface temperature data over the United Arab Emirates

...

are the top articles of Abdelgadir Abuelgasim at United Arab Emirates University.

What are Abdelgadir Abuelgasim's research interests?

The research interests of Abdelgadir Abuelgasim are: GIS, Soil Salinity, Environmental Remote Sensing and Image Processing, ORCID 0000-0001-8897-4181

What is Abdelgadir Abuelgasim's total number of citations?

Abdelgadir Abuelgasim has 1,825 citations in total.

What are the co-authors of Abdelgadir Abuelgasim?

The co-authors of Abdelgadir Abuelgasim are Curtis Woodcock, Alan Strahler, Zhanqing Li, Yuri Knyazikhin, Ruiliang Pu.

    Co-Authors

    H-index: 101
    Curtis Woodcock

    Curtis Woodcock

    Boston University

    H-index: 97
    Alan Strahler

    Alan Strahler

    Boston University

    H-index: 92
    Zhanqing Li

    Zhanqing Li

    University of Maryland, Baltimore

    H-index: 66
    Yuri Knyazikhin

    Yuri Knyazikhin

    Boston University

    H-index: 57
    Ruiliang Pu

    Ruiliang Pu

    University of South Florida

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