Planetary Intelligence • Geospatial Data Science • GeoAI

From satellite pixels
to planetary action.

Translating InSAR deformation, GeoAI, and environmental informatics into territorial resilience and climate solutions.

Dr. Mudassir Khan, Ph.D. — Geospatial Data Scientist
Principal Consultant & Lead Scientist

Dr. Mudassir Khan, Ph.D.

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.

🏛️ International Earth Observation 🏆 JENESYS Fellow (Govt. of Japan) 🥇 Academic Gold Medalist 12 Scopus / WoS Papers
Live Satellite Orbits • Drag to Rotate
Sentinel-1A SAR Radar
Landsat 9 Thermal & OLI
Sentinel-2B 10m Optical
CORE DISCIPLINES

Our focus areas.

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.

Explore all study sites in Earth Atlas
Multi-temporal geospatial hazards, forest degradation, and DRR mapping
Geospatial Hazards & DRR
Inspect Figure
Pillar 01 // Hazards & DRR

Geospatial Hazards & DRR

Multi-temporal satellite monitoring of environmental hazards, forest degradation, terrain vulnerability, and slope kinematics for data-driven Disaster Risk Reduction (DRR) and climate resilience.

Hazards • DRR Analytics
Satellite mapping of agricultural land inundated during the 2022 Indus floods
2022 Flood Inundation
Inspect Figure
Pillar 02 // Hydrology

Water & Basin Hydrology

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.

2022 Flood • Cropland Inundation
Peshawar Built-up 1990 Peshawar Built-up 2020 Peshawar LST > 28C 1990 Peshawar LST > 28C 2020
1/4 • 1990 Built-Up
Inspect
TIMELINE TRANSITION
1990 2020
Pillar 03 // Microclimate

Climate & Urban Heat (LST)

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.

4-Stage Timeline
Forest Aboveground Biomass Density (Year 2025) spatial distribution and machine learning validation
AGB Density Model
Inspect Figure
Pillar 04 // Ecology

Carbon, Agro & Ecosystems

Empirical Above-Ground Biomass (AGB) auditing, Sentinel-2 vegetation health (NDVI/EVI), precision agriculture crop monitoring, and forest conservation carbon stock verification.

Carbon Stocking
// 03. Global Partnerships

Collaborations.

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.

Scientists & Academics [TRACK 01]

Working with scientists & research groups

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.

Key Engagements:
  • ✓ China-Pakistan Advanced Remote Sensing Analytics
  • ✓ USA International Snowmelt & Thermal Hydrology Study
  • ✓ 12 Scopus / Web of Science (Q1/Q2) Journal Papers
Policy & Global Bodies [TRACK 02]

Advising international bodies & governments

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.

Key Engagements:
  • ✓ Japan Ministry of Foreign Affairs (JENESYS Fellow Tokyo)
  • ✓ World Bank Consultant Advisory: Snow Cover Variations
  • ✓ Transboundary Indus Basin Climate Resilience Frameworks
Diplomatic / Gov
Enterprise & Industry [TRACK 03]

Partnering with enterprise & consultancies

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.

Key Engagements:
  • ✓ Sentinel-1 InSAR Millimeter Deformation Audits
  • ✓ Slope Stability & Kinematic Rockfall Zonation
  • ✓ Carbon Credit & Above-Ground Biomass (AGB) Modeling
Enterprise SLA
// 04. Technical Capabilities

Capabilities.

Six specialized Earth observation, spatial data science, machine learning, and geohazard modeling capabilities.

AI and data science

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.

Random Forest XGBoost Spatial ML

Earth observation & InSAR

Converting multi-sensor spaceborne imagery (Sentinel-1 SAR interferometry, Landsat 8–9 Thermal, Sentinel-2 MSI, MODIS, and UAV photogrammetry) into actionable ground telemetry.

Sentinel-1 InSAR Landsat 8-9 UAV Drone

Visualization & storytelling

Designing clear, publication-grade cartographic layouts, interactive web map dashboards, and visual narratives that help decision-makers comprehend complex planetary trends.

Publication Maps WebGIS Dashboards Q1 Figures

Geospatial AI & hazard modeling

Executing slope stability kinematics, landslide susceptibility zonation, 3D DEM morphometry, fault line buffer exposure, and terrain hazard mitigation planning.

Slope Stability DEM Morphometry Geohazards

Cloud data infrastructure

Architecting scalable petabyte-scale cloud infrastructure with Google Earth Engine (GEE), Python geospatial toolchains (GeoPandas, Rasterio), and PostGIS relational spatial databases.

GEE Cloud Engine Python GeoStack PostGIS

Mentorship & 1-on-1 coaching

Delivering structured 3-tier masterclasses in QGIS, ArcGIS Pro, and advanced GeoAI for graduate researchers, university scholars, and geospatial industry engineers worldwide.

1-on-1 Mentorship 3 Tiers Global Scholars
GIS Academy & 1-on-1 Mentorship

Master GIS, Satellite Remote Sensing & GeoAI

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.

1-on-1 Personalized Mentorship
Real Multi-Sensor Datasets
Flexible Weekend & Evening Slots
Certificate of Completion
Tier 1 • Beginner ArcGIS Pro / QGIS
🗺️

Basic GIS & Cartography Fundamentals

Ideal for undergraduates, civil engineers, ecologists, geologists, and beginners taking their first steps in spatial science.

Inquire on WhatsApp
★ Most Popular for M.Phil / MS Researchers
Tier 2 • Intermediate Remote Sensing & Analysis
🛰️

Intermediate GIS & Satellite Remote Sensing

For M.Phil/MS scholars, environmental scientists, urban planners, and GIS analysts conducting research data analysis and thesis modeling.

Inquire on WhatsApp
Tier 3 • Advanced GEE • GeoAI • Python
🤖

Advanced GeoAI, Cloud Analytics & Mentoring

For Ph.D. scholars, faculty members, corporate data scientists, and ESG/Carbon Credit consultants requiring cutting-edge cloud pipelines.

Inquire on WhatsApp
Tailored Academic & Professional Coaching

Have Specific Software or Research Needs?

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.

WhatsApp Discussion
// 06. Peer-Reviewed Research Library
12 Verified Articles Scopus & Web of Science (Q1/Q2)

Peer-Reviewed Journal Publications (12).

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.

// 05. Client Testimonials & Trust

Client Reviews & Industry Trust.

Endorsements and verified feedback from academic researchers, World Bank consultants, and international GIS partners.

★ ★ ★ ★ ★
5.0 / 5.0 Rating
5+ Verified Endorsements
Scroll horizontally or use arrows to view all client reviews Showing 5 Client Reviews
AI & SENSOR INSIGHT // PLANETARY ATLAS

Earth Atlas: planetary data & geospatial data science insight.

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.

10 Study Sites
4 Major River Basins
6 Sensors Landsat / Sentinel
Cursor: 31.5000° N, 71.8000° E
CRS: WGS 84 (EPSG:4326)

Study Site Inspector

SITE #1 OF 10
// 08. Inquiries & Scientific Partnerships

Connect & Contact With Us.

Available for post-doctoral research collaborations, academic appointments, consultancy in geospatial data science & remote sensing, and guest lecturing.

Location
Islamabad, Pakistan [WGS84: 33.7294° N, 73.0931° E] • Global Remote
Phone & WhatsApp
(+92) 310-8643098
Direct Email Addresses
Direct WhatsApp Chat

Send a Message.

Inquiries for academic research, consulting, or speaking engagements.