Study design
Define the time period, spatial scale, sensors, seasonal comparability, cloud constraints, and decision thresholds.
remote sensing consultant NDVI NDMI
Remote Sensing & Earth Observation
Remote sensing consulting for vegetation, moisture, land cover, thermal conditions, change detection, satellite imagery, UAV data, and environmental monitoring.
Remote-sensing analysis should connect spectral patterns to a clearly defined environmental or planning question. I work with satellite and UAV data to measure change, compare seasons, classify land cover, monitor vegetation and moisture, and communicate uncertainty in GIS-ready outputs.
The workflow is designed around the intended decision: screening a large area, establishing a baseline, identifying anomalies, monitoring change, or preparing evidence for engineering and environmental review.
WHEN THIS HELPS
Problems this service addresses
- Comparing vegetation condition across seasons or years
- Mapping moisture patterns and possible wet areas
- Detecting land-cover change around infrastructure or development
- Producing consistent imagery mosaics and analysis-ready rasters
- Turning spectral indices into interpretable maps and reporting
DELIVERY METHOD
A practical, reviewable workflow
Pre-processing
Prepare imagery, masks, mosaics, projections, and quality checks so comparisons are based on consistent inputs.
Analysis
Calculate relevant indices, classifications, change metrics, zonal summaries, and contextual overlays.
Interpretation
Distinguish meaningful patterns from sensor, season, tide, cloud, or land-cover effects and document limitations.
Delivery
Provide maps, rasters, GIS layers, statistics, and concise technical documentation for reuse.
DELIVERABLES
What the engagement can produce
- Analysis-ready imagery
- NDVI/NDMI or other index rasters
- Land-cover or change maps
- GIS-ready vector and raster files
- Quality-control summary
- Technical interpretation report
DECISION VALUE
What the work is designed to improve
- Repeatable environmental baselines
- Faster screening across large areas
- Traceable evidence for field prioritisation
- Clear maps for technical and non-technical stakeholders
SELECTED TECHNOLOGIES
Sentinel-2LandsatUAV multispectral imageryGoogle Earth EngineQGISArcGIS ProPythonENVI
RELATED EVIDENCE
Selected work connected to this service
COMMON QUESTIONS
Before starting an engagement
Can NDVI or NDMI prove a field condition by itself?
Usually not. Spectral indices are screening and monitoring signals. Interpretation should consider season, land cover, sensor quality, local context, and—where important—field verification.
Can historical imagery be compared?
Yes, provided that acquisition dates, seasonality, atmospheric conditions, spatial resolution, and processing are controlled well enough for the intended conclusion.
AVAILABLE WORLDWIDE
Have a project that needs this capability?
Share the objective, study area, available data, expected deliverables, and timeline. I can help define a practical first step.