Our Client, an international business has a project aimed to develop a comprehensive master plan to control rising groundwater levels in Riyadh City and prevent their environmental and structural impacts.
Over 36 months, the consultant will monitor and analyze groundwater levels, quality, and flow using advanced telemetric systems, establish a unified GIS-based data library, update and standardize design methodologies for groundwater control systems, perform a detailed water balance study for the city, and develop a predictive hydrogeological model and early warning system to guide mitigation actions.
The scope includes data collection, analysis, and integration, as well as continuous quality control and reporting in compliance with ISO, BS, WMO, USGS, and Saudi Building Code standards.
For this particular position the successful candidate must have a degree in civil engineering and/or geology (BSc) with a high degree in remote sensing (MSc or PhD) with a minimum 15 years of experience in the relevant field.
Their role is to analyze satellite and/or aerial imagery of Riyadh city to assess environmental conditions, land use of project sites, interpreting remote sensing data and reporting which includes but not limited to the following:
- Analyze satellite and/or aerial images of Riyadh city over the past years.
- Select appropriate imageries based on resolution, coverage, and spectral characteristics.
- Identify and extract features such as land cover types, vegetation indices, and water bodies using techniques like classification and spectral analysis.
- Monitor changes over time in areas such as urban expansion and environmental impact using satellite imagery.
- Assess environmental impacts and track trends through project life.
- Develop models to simulate environmental processes using remote sensing data, such as climate change effects or hydrological cycles.
- Integrate remote sensing data with GIS and other datasets to create comprehensive analysis models.
- Prepare detailed reports summarizing analysis results and implications for decision-making processes.
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