GIS · Remote Sensing · Geospatial AI

Dr. Zubairul Islam

Professor & Dean, Faculty of Environmental Sciences

Hensard University, Nigeria

Geospatial scientist and academic working at the intersection of satellite Earth observation, spatial analysis, machine learning and environmental modelling. My research applies GIS, Remote Sensing and Geospatial AI to understand environmental change, ecological stress, climate-related hazards, land systems and population-health challenges.

60+ Research Publications
12 Scholarly & Academic Books
4 PhD Researchers Supervised
11 Postgraduate Dissertations
Research Programme

Research Themes & Scientific Expertise

My research integrates Earth observation, Geographic Information Science, spatial modelling and artificial intelligence to understand environmental change and translate geospatial information into reproducible and decision-relevant scientific evidence. The programme is structured around four interconnected research themes.

RESEARCH PILLAR 01

GeoAI & Earth Observation

Development and application of satellite Earth observation, machine learning, deep learning and cloud geospatial computing for environmental classification, prediction and spatial intelligence.

Remote Sensing Machine Learning Deep Learning Google Earth Engine GeoAI
RESEARCH PILLAR 02

Ecosystems & Environmental Change

Long-term assessment of vegetation, mangrove ecosystems, ecological stress, land-cover transitions and landscape processes using multi-temporal satellite observations and spatial models.

Mangroves Vegetation Dynamics Ecological Stress Change Detection Conservation
RESEARCH PILLAR 03

Climate, Hazards & Landscape Dynamics

Spatial analysis of climate-sensitive environmental processes including wildfire, water stress, surface temperature, terrain dynamics and environmental hazards across arid and semi-arid landscapes.

Climate Wildfire Water Stress LST Hazard Modelling
RESEARCH PILLAR 04

Population, Health & Spatial Accessibility

Application of GIS and geospatial methods to health geography, disease patterns, population estimation, accessibility, service planning and geographically targeted interventions.

Health GIS Spatial Epidemiology Population Accessibility Spatial Analysis

Methods &
Analytical Environment

GIS Remote Sensing Random Forest Support Vector Machine XGBoost Artificial Neural Networks Convolutional Neural Networks Generalized Additive Models Time-Series Analysis Geostatistics Spatial Pattern Analysis Google Earth Engine ArcGIS QGIS R Google Colab
Selected Scholarship

Recent & Featured Publications

Selected peer-reviewed research spanning GeoAI, ecosystem monitoring, ecological stress, climate hazards, mangrove conservation and applied spatial analysis.

GeoAI & Earth Observation

Machine learning · Deep learning · Prediction
Scientific Reports · Nature Portfolio
2025

AI-driven mangrove mapping on Farasan Islands, Saudi Arabia: enhancing the detection of dispersed patches with ML classifiers

Machine-learning classification of dispersed mangrove patches using Landsat observations and spectral indicators within Google Earth Engine.

Study Region Farasan Islands
Approach RF · SVM · Gradient Boosting · Ensemble
DOI: 10.1038/s41598-025-03280-5
Journal of Atmospheric and Solar-Terrestrial Physics · Elsevier
2025

Cropland classification and water stress vulnerability assessment in arid environment of Churu district, India using machine learning approach

Combines machine-learning cropland classification, vegetation and water-stress indicators, generalized additive modelling and spatial-pattern analysis.

Study Region Churu, Rajasthan, India
Approach RF · XGBoost · SVM · GAM
DOI: 10.1016/j.jastp.2025.106483

Ecosystems & Environmental Change

Mangroves · Vegetation · Ecological stress
Sustainability · MDPI
2025

Ecological Stress Assessment on Vegetation in the Al-Baha Highlands, Saudi Arabia (1991–2023)

Long-term evaluation of vegetation, temperature and moisture indicators with ecological-stress modelling across a high-elevation arid mountain ecosystem.

Study Region Al-Baha Highlands
Approach Landsat · Kendall τ · GAM
DOI: 10.3390/su17072854
Sustainability · MDPI
2024

An ML-Based Ensemble Approach for the Precision Classification of Mangroves, Trend Analysis, and Priority Reforestation Areas in Asir, Saudi Arabia

An integrated mangrove-management framework combining machine-learning classification, temporal ecological analysis and spatial prioritisation for reforestation.

Study Region Asir Coast, Saudi Arabia
Focus Mangrove classification · Reforestation
DOI: 10.3390/su162310355
Land · MDPI
2025

Ecological Stress Modeling to Conserve Mangrove Ecosystem Along the Jazan Coast of Saudi Arabia

Integrates AI-based mangrove classification with long-term ecological-stress modelling to identify patterns relevant to coastal conservation and environmental management.

Study Region Jazan Coast, Saudi Arabia
Approach Ensemble ML · GAM · Moran’s I
DOI: 10.3390/land14010070
Frontiers in Environmental Science
2024

Mangroves trend and their impact on surface temperature in Al-Wajh Lagoon: a study aligned with Saudi Arabia’s Vision 2030

Multi-decadal mangrove trend analysis linking vegetation change with land surface temperature and examining the climate-regulation role of mangrove conservation.

Study Region Al-Wajh Lagoon
Approach NDVI · LST · Kendall’s Tau-b
DOI: 10.3389/fenvs.2024.1439425
Frontiers in Environmental Science
2024

Vegetation trends and dynamics in Shada Mountain, Saudi Arabia (1984–2023): insights from Google Earth Engine and R analysis

Nearly four decades of vegetation dynamics analysed across elevation zones using Landsat time series, cloud computing and statistical trend analysis.

Study Region Shada Mountain
Approach GEE · R · Landsat · Sen’s slope
DOI: 10.3389/fenvs.2024.1397825

Climate, Hazards & Landscape Dynamics

Wildfire · Climate · Environmental risk
Information · MDPI
2026

Integrating VIIRS Fire Detections and ERA5-Land Reanalysis for Modeling Wildfire Probability in Arid Mountain Systems of the Arabian Peninsula

Multisource Earth-observation framework combining satellite fire detections, climate reanalysis, vegetation indicators and topography for spatial wildfire probability modelling.

Study Region Western Saudi Arabia
Data VIIRS · ERA5-Land · DEM
DOI: 10.3390/info17010013

Health GIS & Spatial Epidemiology

GIS · Disease patterns · Spatial analysis
International Journal of Cartography · Taylor & Francis
2025

GIS-based geospatial analysis of COVID-19 in southern India

GIS-based investigation of the spatial and temporal patterns of COVID-19, demonstrating the role of cartographic and spatial analytical approaches in infectious-disease assessment.

Study Region Southern India
Publication Vol. 11(1) · pp. 138–153
DOI: 10.1080/23729333.2023.2298525

Zubairul Islam

Professor, Coordinator, Remote Sensing & Geospatial Sciences.
Consultant. JSI Research and Training Institute, Inc., 44 Farnsworth Street; Boston, MA, USA 02210.
Email> zubairul@gmail.com, +91-9821405543 (India)
YouTube Channel


Geospatial Courses

Research Journal

My Colab Notebooks: Using Python Libraries

Recent Publications











Mapping Applications

A Rainfall Forecast App
Flood Detection App

Settlements Beyond 5 km from Health Facilities
Building Foot Prints
Zero Dose and Under immunized Children

Courses


GEOGRAPHY


Geography: Definitions, Themes, Branches & Development


Universe & Solar System


The Earth & Its Interior
The Earth Surface Features


Oceans: Introduction, Relief Features
Oceans: Water Characteristics & Movement
Ocean:  Resources
Wetlands


Atmosphere: Introduction, Composition & Structure

Atmospheric Phenomenon


Bio-Geography


Human-Geography

H. Activities & Resources

Transport & Trade


World Geography


India Geology Physiography & Drainage

India Climate Vegetation & Soil

India Resources

India Human Activities

India Transportation & Tourism

India Protected Areas Climate Change Natural Disasters


INDIAN HISTORY

INDIAN HISTORY


INDIAN CULTURE

INDIAN CULTURE


INTERNATIONAL RELATION

International Relations


RESEARCH JOURNAL

Indo-African Journal for Resource Management and Planning


MOOCs

Massive Open Online Courses (MOOCs)


Curriculum Developed

Proposal and Curriculum for Post Graduate Programme  in GIS & Remote Sensing

Proposal and Curriculum for PhD in GIS & Remote Sensing


DATA DEVELOPED

Climate Data

Socio-Economic Data

Vegetation Data

Water Data


Books