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Research & Development

The center encourages research related to spatial and satellite technologies by inviting researchers to conduct research under GIS & RS and related applications. The center always seeks to organize research events such as international conferences, workshops, seminars, and symposiums, etc. The center encourages and promotes research papers and research projects and development in the GIS and RS fields. The center focus and conducts various research interdisciplinary research projects and applications; examples of some research projects are listed below:

  • Image Segmentation Parameter Selection and Ant Colony Optimization for Date Palm Tree Detection and Mapping from Very-High-Spatial-Resolution Aerial Imagery
Researchers: Dr. Rami Al-Ruzouq, Prof. Abdallah Shanableh, Eng. Mohamed Barakat, and Eng. Saeed AL- Mansoori
Summary: Since prehistoric times, date palm trees have been one of the most cultivated trees in the world due to their significant societal, commercial, and environmental importance. The date palm tree industry in the United Arab Emirates (UAE) has exponentially increased over the years; the number of date palm trees planted was estimated to be over 40 million in 2010. Proper knowledge of the distribution, number, and health of date palm trees are essential for their monitoring, irrigation, yield estimation, and determination of their effects on water resources and climate conditions. This study proposed a highly efficient and promising tool to detect and map date palm trees from very high spatial resolution aerial images.
Figure 6.jpg

  • Integration of Multi-Temporal Satellite Imagery in Modeling Urban Expansion Effects on Runoff in the City of Sharjah, United Arab Emirates
Researchers: Dr. Rami Al-Ruzouq & Prof. Abdallah Shanableh

Summary: In this project, land cover and built area changes were assessed through

detecting and registering linear features in multi-temporal Landsat satellite images obtained for the period 1976-2016. The results revealed a significant increase in runoff depth as the urban area expanded with time during the study period.  As a result, the incidence of significant local flooding episodes in the city that did not previously invest in a proper drainage system increased over the years during the rainy season.

  • Macro and Micro Geo-Spatial Environment Consideration for Landfill Site Selection in Sharjah, United Arab Emirates

Researchers: Dr. Rami Al-Ruzouq, Prof. Abdallah Shanableh, Dr. Maher Omar, and Eng. Ghadeer Al-KhayyatProject-2.png

Summary: For developed countries such as the United Arab Emirates, with significantly increasing built areas and population growth in the past few decades, managing waste has become an extremely important issue for planning, development, and management of sustainable cities. The present work uses the analytical hierarchy process in a geo-spatial environment for landfill site selection for the city of Sharjah.

  • Photogrammetric Techniques for Development of Bridge Monitoring System and Determination of Load Deflection Behaviors

Researchers: Dr. Saleh Abu Dabous & Dr. Rami Al-Ruzouq

Summary: Photogrammetry is a technique of deriving the three-dimensional Dr_Rami.pnggeometry of an object through measuring and analyzing their two-dimensional photographs. Using photogrammetry for deflection measurements has several advantages over contact methods such as the ability of three-dimensional measurement of deformation components, non-contact measurement, unrestricted measurement range, and elimination of systematic errors. Bridge strength deterioration over time mainly due to cracking, creep, shrinkage, and steel corrosion make testing of bridge elements essential.

  • Digital Mapping of Groundwater Potential Zones in Sharjah/ UAE using Remote Sensing Data and GIS

Researchers: Dr. Rami Al-Ruzouq, Prof. Abdallah Shanableh, Dr. Tarek Merabtene, Dr. Mohsin Siddique, and Eng. Mohamad Ali Khalil

Summary: In United Arab Emirates (UAE), domestic water consumption has increasedProject-3.jpg rapidly over the last decade. The increased demand for high-quality water creates an urgent need to evaluate the groundwater production of aquifers. The development of a reasonable and efficient model for groundwater potential is therefore crucial for future systematic developments, efficient management, and sustainable use of groundwater resources.  The objective of this study is to map the groundwater potential zones in the northern part of UAE and assess the contributing factors for exploration of potential groundwater resources.

  •  Infrastructure Growth Assessment of Urban Areas Based On Multi-Temporal Satellite Images and Linear Features

Researchers: Dr. Rami Al-Ruzouq, Dr. Khaled Hamad, Prof. Abdallah Shanableh, and Eng. Mohamad Ali Khalil

Summary: Urbanization is typically demonstrated by the expansion of a city’s infrastructure, mainly development of its roads and buildings. In particular, transportation infrastructure is a key indicator of growth the city since transportation is the backbone of economic development and prosperity. In this study, two approaches were adopted to quantify and assess the pattern of urbanization. The first approach relies on extracting linear features (buildings and roads edges) from multi-temporal satellite images, where the second approach relies on extracting linear features from vector (digitized) data. 

  • Spatio–temporal Analysis and Image Registration for Infrastructure Growth Analysis for Dubai City, UAE

Researchers: Dr. Rami Al-Ruzouq, Dr. Khaled Hamad, Prof. Abdallah Shanableh, Eng. Mohamad Ali Khalil 

Summary: This research aims to quantify and analyze the spatial-temporal aspects of the infrastructure growth in the City of Dubai since the early 1970’s. Remote sensing techniques and Geographic Information System (GIS), namely unsupervised classification, was utilized and used to fulfill this aim.

  • Predictive Free-field Road Traffic Noise in Sharjah City, UAE

Researchers: Dr. Khaled Hamad, Prof. Abdallah Shanableh, and Eng. Mohamad Ali Khalil

Summary: Noise from transportation is one of the world's most prevalent forms of Project-6.pngenvironmental noise that negatively affects human health. Specifically, roadway traffic is the most common source of transportation noise. Traffic noise can have adverse impacts on human health in places where noise levels exceed unacceptable thresholds. This research project aims at studying road traffic noise in the City of Sharjah, United Arab Emirates, namely modeling, quantifying and mapping such noise affecting the human health.