Remote Sensing and Geographic Information Systems (GIS) Center

Research & Projects

Core Research Areas

Integrating Remote Sensing, GIS, GeoAI, and spatial data science to transform satellite observations into practical knowledge and decision-support solutions for Kurdistan Region.

GeoAI & Machine Learning

Integrating Remote Sensing, GIS, and Artificial Intelligence for predictive modeling, automated feature extraction, and complex spatial pattern recognition.

Advanced Remote Sensing

Translating multi-spectral and radar satellite observations into actionable environmental and agricultural knowledge.

Spatial Data Science

Applying big data analytics, cloud computing via Earth Engine, and spatial statistics to understand dynamic Earth systems.

Applied Enterprise GIS

Developing robust geospatial architectures, geodatabases, and high-fidelity 3D reconstructions for heritage sites.

Advancing the UN Sustainable Development Goals (SDGs)

The Center's work in GIS, Remote Sensing, and GeoAI directly contributes to global sustainability targets through data-driven environmental monitoring and spatial analysis.

Publications

2026

Conference

Integrating Geoinformatics and Random Forest Modeling for Groundwater Potential Mapping in the Semi-Arid Akre District, Kurdistan Region of Iraq

Kaiwan K. Fatah, and Yaseen T. Mustafa

Remote Sensing and Geographic Information Systems (GIS) Center

Research & Projects

Publications

2026

Integrating Geoinformatics and Random Forest Modeling for Groundwater Potential Mapping in the Semi-Arid Akre District, Kurdistan Region of Iraq

2025

Estimating Biomass and Carbon Sequestration of Stem and Branches of Pinus brutia Ten. Trees in Duhok Governorate, Iraq

2025

Forecasting LULC Dynamics of Soran under Future Climate Scenarios Using Machine Learning

2025

Machine Learning and SHAP-Based Analysis of Deforestation and Forest Degradation Dynamics Along the Iraq–Turkey Border

2025

Assessing the Influence of Climate and Land Use/Land Cover Changes on Groundwater Levels in Arid and Semi-Arid Regions: A Geoinformatics-Based Machine Learning Approach in the Iraqi Kurdistan Region

2025

Deep Learning-Based Prediction of Forest Cover Change in Duhok, Iraq: Past and Future

2025

Analyzing the Impact of Geoenvironmental Factors on the Spatiotemporal Dynamics of Forest Cover via Random Forest

2025

Assessment of Climate Change Impacts on Groundwater Levels Using Machine Learning Based on Geospatial Techniques in the Semi-Arid Region of Northern Iraq

2024

Identification of Flood-Prone Areas Using Geo-informatics: A Case Study of Erbil City, Kurdistan Region, Iraq

2024

Groundwater Potential Mapping in Arid and Semi-Arid Regions of Kurdistan Region of Iraq: A Geoinformatics-Based Machine Learning Approach

2024

Deep Learning Approaches for Estimating Forest Vegetation Cover and Exploring Influential Ecosystem Factors

2024

Leveraging Bayesian Deep Learning and Ensemble Methods for Uncertainty Quantification in Image Classification: A Ranking-Based Approach

2024

Predicting Soil Erosion Using RUSLE Model in Duhok Governorate, Kurdistan Region of Iraq

2024

Natural Resources Deterioration in MENA Region: Land Degradation, Soil Erosion, and Desertification

2023

Assessing Spatial Patterns of Surface Soil Moisture and Vegetation Cover in Batifa, Kurdistan Region - Iraq: Machine Learning Approach

2023

Quantitative Assessment of Land Use/Land Cover Changes in a Developing Region Using Machine Learning Algorithms: A Case Study in the Kurdistan Region, Iraq

2023

Digital Mapping of Soil Organic Matter in Northern Iraq: Machine Learning Approach

2023

Geospatial Multi-Criteria Evaluation Using AHP–GIS to Delineate Groundwater Potential Zones in Zakho Basin, Kurdistan Region, Iraq

2023

Uncertainty Quantification for MLP-Mixer Using Bayesian Deep Learning

2023

Digital Mapping of Soil-Texture Classes in Batifa, Kurdistan Region of Iraq, Using Machine-Learning Models

2023

Geoinformatics-Based Frequency Ratio, Analytic Hierarchy Process and Hybrid Models for Landslide Susceptibility Zonation in Kurdistan Region, Northern Iraq

2022

Flood Susceptibility Mapping Using an Analytic Hierarchy Process Model Based on Remote Sensing and GIS Approaches in Akre District, Kurdistan Region, Iraq

2022

Spatiotemporal Analysis of Land Surface Temperature and Vegetation Changes in Duhok District, Kurdistan Region, Iraq

2022

Vigorous 3D Angular Resection Model Using Levenberg–Marquardt Method

2022

A Review on Bayesian Deep Learning in Healthcare: Applications and Challenges

2022

A GIS-Based AHP Method for Groundwater Potential Zone Assessment: A Review

2022

Mapping Ecosystem Service: Challenges and Solutions

2022

Role of Effective Factors on Soil Erosion and Land Degradation: A Review

2022

Assessment of Land Degradation Vulnerability Using GIS-Based Multicriteria Decision Analysis in Zakho District, Kurdistan Region of Iraq

2022

Environmental Degradation in Asia: Land Degradation, Environmental Contamination, and Human Activities

2021

Land Degradation Assessment Using AHP and GIS-Based Modeling in Duhok District, Kurdistan Region, Iraq

2021

Land Suitability Analysis for Identifying Industrial Zones in Duhok District, Kurdistan Region of Iraq

2021

Spatiotemporal Analysis of Vegetation Cover and Its Response to Terrain and Climate Factors in Duhok Governorate, Kurdistan Region, Iraq

2020

Spatiotemporal Analysis of Vegetation Cover in Kurdistan Region-Iraq Using MODIS Image Data

2020

Estimating Aboveground Biomass and Carbon Sequestration for Natural Stands of Quercus aegilops in Duhok Province

2020

Risk Perception and Behavioral Change During Epidemics: Comparing Models of Individual and Collective Learning

2020

Decolorization of Crystal Violet from Aqueous Solution Using Electrofenton Process

2020

Occurrence of Residual Organophosphorus Pesticides in Soil of Some Asian Countries, Australia and Nigeria

2019