Geospatial & Remote Sensing Consultant

Satellite-driven insights for crops, climate & hazards.

I help governments, NGOs, and organisations turn satellite imagery and climate data into decision-ready maps, dashboards, and analytics — with a special focus on agriculture and climate risk in Pakistan and the wider region.

20+ years of data Crop & climate records (2004–2024) for key provinces.
End-to-end delivery From raw satellite data to maps, models, and reports.
Working with:
Agriculture departments
Food security & climate projects
Disaster management authorities
Universities & research teams
Services

Practical, project-ready geospatial services — from crop area estimation to climate impact assessment and hazard mapping. Tailored to your region, dataset and goals.

Crop Mapping & Area Estimation

District- and province-level wheat, rice and maize area estimation using Sentinel, Landsat and MODIS imagery, calibrated with official statistics where available.

District & province scale NDVI / NDWI GeoTIFF + CSV outputs

Climate & Yield Impact Analysis

Advanced econometric modeling (including ARDL and panel methods) to quantify how temperature, rainfall and emissions affect cereal yields over time.

ARDL · Panel analysis Seasonal climate indices Policy-ready summaries

Glacier & Hazard Risk Mapping

Multi-sensor analysis (DEM, MODIS, Sentinel-1/2) to map snow and ice dynamics, avalanche-prone slopes and potential hazard zones in high-mountain regions.

NDSI · NDWI · slope Hazard zoning Maps & reports

Custom Web Maps & Dashboards

Interactive Google Earth Engine apps and web dashboards to visualise crops, climate indicators or hazard indices for decision makers.

GEE apps Story maps Stakeholder-friendly

Data Cleaning & Geospatial Analytics

Integrating satellite-based indicators with production statistics, climate variables and emissions into analysis-ready datasets.

Data integration Climate · crop · emissions R / Python / GEE

Training & Capacity Building

Hands-on training for teams in Google Earth Engine and geospatial workflows, tailored to your projects and level of experience.

Workshops GEE & remote sensing Applied exercises
Selected projects & case studies

A few examples of how satellite data and climate analytics have been used in real projects. Full case studies can be shared on request.

Punjab · Wheat & climate risk
Client type: Government / research collaboration

Wheat–Climate Impact Assessment (2004–2030)

Combined crop statistics, satellite-derived climate indicators and emissions data to estimate long- and short-term impacts of climate variability on district-level wheat yields.

Punjab & Sindh · Rice mapping
Client type: Food security project

Rice Area Estimation via NDVI/NDWI Curves

Used Landsat and Sentinel-2 NDVI/NDWI time series with agro-climatic zoning to detect rice areas, improving estimates beyond conventional reporting.

Karakoram · Glacier hazards
Client type: Disaster risk & climate adaptation

Snow & Glacier Hazard Zonation (Baltoro–Siachen)

Integrated DEM-derived slope, snow cover change and satellite backscatter to identify zones with elevated avalanche and melt-related hazard.

How we work together

A simple, transparent project flow that takes you from an idea or problem to concrete maps, analytics and recommendations.

1 Discovery call

We discuss your objectives, study area, timelines and any existing data or reports.

2 Scope & proposal

You receive a clear scope, deliverables (maps, datasets, dashboards, reports), timeline and budget.

3 Data & analysis

Satellite processing, climate data integration, modeling and validation with available ground or official data.

4 Delivery & support

Final outputs are delivered along with documentation, and optional training or follow-up support.

About Muhammad Hassan

GIS and remote sensing specialist focused on agriculture, climate change and glacier hazards, with extensive experience across Pakistan’s provinces and high-mountain regions.

I work at the intersection of remote sensing, climate science and applied statistics. Using tools such as Google Earth Engine, ArcGIS, QGIS, Python and advanced econometric models, I build workflows that turn large volumes of satellite and climate data into practical insights for decision makers.

My work includes long-term crop–climate analyses, district-level crop area estimation, and glacier hazard studies in some of the most data-sparse regions. I collaborate with government agencies, research teams and projects that need reliable, technically robust geospatial evidence.

2004–2024 crop & climate records across Punjab, Sindh, KP and other regions.
Proven workflows for wheat, rice and maize mapping using Landsat and Sentinel.
Experience with ARDL, panel models and climate indices for yield analysis.
Glacier and hazard mapping in complex high-mountain terrain.
Clear visual outputs and reports designed for non-technical audiences.
Flexible engagement: from short reviews to full multi-year projects.
Start a conversation

Share a few details about your project or idea and I will get back to you with questions or a suggested way forward.

Prefer email?
You can also contact me directly:

  • Email: aimnmine@gamil.com

Typical projects include:

  • • Province-wide crop area estimation by season
  • • Climate risk assessments for major cereal crops
  • • Glacier and snow-hazard mapping for high-mountain valleys
  • • GEE-based dashboards for monitoring projects or programmes