Translating InSAR deformation, GeoAI, and environmental informatics into territorial resilience and climate solutions.
Geospatial Data Scientist fusing high-throughput satellite remote sensing (Sentinel-1 SAR, Landsat 8-9 Thermal) with applied geospatial data science, predictive GeoAI modeling, and cloud pipelines (GEE, Python) to detect hazard risks and safeguard vulnerable communities.
A comprehensive multidisciplinary portfolio spanning diverse geospatial and Earth observation domains—anchored by four core flagship pillars uniting high-throughput satellite constellations, predictive GeoAI, and environmental risk analytics.
Multi-temporal satellite monitoring of environmental hazards, forest degradation, terrain vulnerability, and slope kinematics for data-driven Disaster Risk Reduction (DRR) and climate resilience.
High-resolution satellite mapping and spatial assessment of agricultural cropland inundated during the historic 2022 Indus Basin mega-floods, quantifying submerged acreage and hydrological drainage dynamics.
Drag the timeline bar to inspect the 30-year empirical coupling: rapid built-up expansion (1990–2020) directly driving extreme thermal anomalies ($LST > 28^\circ\text{C}$) across radial buffer zones.
Empirical Above-Ground Biomass (AGB) auditing, Sentinel-2 vegetation health (NDVI/EVI), precision agriculture crop monitoring, and forest conservation carbon stock verification.
Three Dedicated Collaboration Tracks
We partner with academic research laboratories, international development organizations, and enterprise consultancies to translate complex Earth observation data into verifiable decisions.
We collaborate with researchers worldwide—including joint research in China and the USA—co-authoring 12 peer-reviewed papers in high-impact Scopus/WoS journals. We develop custom GEE machine learning pipelines, validate spatiotemporal indices, and model snowmelt ablation rates.
Dr. Mudassir Khan was selected by the Government of Japan (Ministry of Foreign Affairs) as a JENESYS International Fellow in Tokyo for disaster resilience and sustainability. He also advised a World Bank Consultant on cryospheric snow cover monitoring across the HKH.
We provide engineering and environmental consultancies with turnkey spatial AI workflows: Sentinel-1 InSAR millimeter subsidence auditing, kinematic slope stability zonation for highways and dams, and empirical AGB forest carbon stock modeling for ESG compliance.
Six specialized Earth observation, spatial data science, machine learning, and geohazard modeling capabilities.
Applying machine learning and spatial statistics (Random Forest, XGBoost, Support Vector Machines, ANN, and cellular automata WE–CA/FLUS) to uncover hidden patterns and forecast environmental trajectories.
Converting multi-sensor spaceborne imagery (Sentinel-1 SAR interferometry, Landsat 8–9 Thermal, Sentinel-2 MSI, MODIS, and UAV photogrammetry) into actionable ground telemetry.
Designing clear, publication-grade cartographic layouts, interactive web map dashboards, and visual narratives that help decision-makers comprehend complex planetary trends.
Executing slope stability kinematics, landslide susceptibility zonation, 3D DEM morphometry, fault line buffer exposure, and terrain hazard mitigation planning.
Architecting scalable petabyte-scale cloud infrastructure with Google Earth Engine (GEE), Python geospatial toolchains (GeoPandas, Rasterio), and PostGIS relational spatial databases.
Delivering structured 3-tier masterclasses in QGIS, ArcGIS Pro, and advanced GeoAI for graduate researchers, university scholars, and geospatial industry engineers worldwide.
Learn directly from Dr. Mudassir Khan, Ph.D. Personalized 1-on-1 coaching, hands-on lab projects with real satellite datasets, and research thesis mentorship across three structured tiers.
Ideal for undergraduates, civil engineers, ecologists, geologists, and beginners taking their first steps in spatial science.
For M.Phil/MS scholars, environmental scientists, urban planners, and GIS analysts conducting research data analysis and thesis modeling.
For Ph.D. scholars, faculty members, corporate data scientists, and ESG/Carbon Credit consultants requiring cutting-edge cloud pipelines.
Whether you need emergency thesis data analysis support, custom Python GEE scripts, or corporate training for your engineering team, Dr. Mudassir Khan delivers customized private 1-on-1 coaching packages.
High-impact research articles published in Nature Scientific Reports, Spatial Information Research (Springer), Heliyon, Sustainability, GeoJournal, and Environment, Development and Sustainability spanning satellite remote sensing, GeoAI, and environmental modeling.
Qasim, M., Nafees, K., & Khan, M. (2026). Spatial Information Research.
Multi-decadal satellite cryosphere monitoring (Landsat 1988–2020) and Support Vector Machine (SVM) spatial machine learning classifying 66 newly emerged glacial lakes, evaluating rapid permanent snowpack retreat and GLOF risk zones across Upper Swat.
Khan, M. et al. (Accepted for Publication in Earth Systems and Environment).
Ullah, S., Ni, J., Qasim, M., & Khan, M. (2026). Environmental Geotechnics.
Ahmad, A., Khan, M., Ahmad, T., Ahmad, S., Ullah, S., & Farooqi, A. (2025). Scientific Reports, 15(1), 35440.
Soomro, M. H., Masood, N., Khan, M., & Farooqi, A. (2025). Environmental Earth Sciences, 84(20), 577.
Ullah, S., Khan, M., & Qiao, X. (2025). Environment, Development and Sustainability, 1–42.
Khan, M., Qasim, M., Ahmad, A., Tahir, A. A., & Farooqi, A. (2024). Heliyon, 10(19).
Ullah, S., Khan, M., & Qiao, X. (2024). GeoJournal, 89(5), 225.
Khan, M., Qasim, M., Tahir, A. A., & Farooqi, A. (2023). Heliyon, 9(12).
Qasim, M., Khan, M., & Rashid, W. (2023). Remote Sensing Applications: Society and Environment, 29, 100902.
Khan, M., Tahir, A. A., Ullah, S., Khan, R., Ahmad, K., Shahid, S. U., & Nazir, A. (2022). Environmental Monitoring and Assessment, 194(2), 120.
Ullah, S., Tahir, A. A., Akbar, T. A., Hassan, Q. K., Dewan, A., Khan, A. J., & Khan, M. (2019). Sustainability, 11(19), 5492.
Endorsements and verified feedback from academic researchers, World Bank consultants, and international GIS partners.
Directly explore the spatial footprint of Dr. Mudassir Khan's peer-reviewed investigations across Pakistan, the Hindu Kush Himalayas, and the Indus Basin. Inspect geospatial hazard study sites, toggle satellite and topographic layers, or download standardized GIS spatial datasets.
Available for post-doctoral research collaborations, academic appointments, consultancy in geospatial data science & remote sensing, and guest lecturing.
Inquiries for academic research, consulting, or speaking engagements.