GIS and Satellite Earth Observation

Machine-learning classification of crop types from full-season satellite time series. Reliable acreage and crop-mix intelligence for procurement, insurance, and policy.

• •Season time-series ML
• •Region-scale coverage
• •Adaptable to local crops

Yield outlooks combining vegetation condition, weather context, and historical performance: production intelligence before harvest, at regional scale.

• •Pre-harvest outlooks
• •Weather-adjusted models
• •District-level granularity

Hyperlocal weather history, in-season conditions, and agroclimatic risk indicators. The climate layer under every cropping decision, available for any admin unit or custom boundary.

• •Village-level granularity
• •Historical archives
• •Drought & risk indices

Multi-date satellite comparison that surfaces what changed inside any boundary (new construction, expansion, demolition, conversion) with side-by-side visual evidence.

• •Any two dates compared
• •City-scale coverage
• •Visual + vector evidence

Repeatable green-cover measurement with land-cover masks and high-resolution options. Quantify canopy, detect loss, and prove regeneration for any boundary.

• •Defensible methodology
• •Loss alerts
• •Works at city or estate scale

Surface-water dynamics from satellite: a continuously updated inventory of water bodies with extent change, seasonal patterns, and encroachment flags.

• •District-wide inventories
• •Seasonal comparisons
• •Encroachment flags

Wall-to-wall air-quality intelligence from satellite observations: AQI-class indicators, hotspots, and trends for regions where ground stations are sparse or absent.

• •Coverage without stations
• •Hotspot detection
• •Historical trends

Block-by-block heat mapping from thermal satellite data. Find the hottest neighborhoods, understand why, and target greening and cool-roof programs with evidence.

• •Block-level heat maps
• •Day/season comparisons
• •Mitigation targeting

Satellite-derived solar radiation layers and site analytics. Rank rooftops, neighborhoods, and candidate sites by realistic generation potential.

• •City-scale irradiance
• •Site ranking
• •Seasonal profiles

Active-fire detection from thermal-anomaly sensors with burn-scar mapping after the event: alerting and assessment for landscapes too large to patrol.

• •Sensor-based alerts
• •Burn-scar mapping
• •Works at landscape scale

Scheduled satellite monitoring of industrial sites, corridors, and critical assets: construction progress, site change, and encroachment in one recurring workflow.

• •Recurring acquisitions
• •Progress evidence
• •Encroachment flags

Cloud-penetrating radar maps flood extent while the event is still unfolding. Depth models, population overlays, and pre/post crop comparisons then turn extent into relief-grade damage intelligence.

• •Works through cloud cover
• •Extent within 48–72 hours

Multispectral indicators of turbidity, chlorophyll-a, and algal blooms across entire river stretches and lakes: wall-to-wall context that sparse ground sensors cannot provide.

• •Whole-river coverage
• •Bloom & hotspot flags
• •Complements ground sensors

A satellite-based MRV pipeline for afforestation and agroforestry programmes: baseline carbon stock, annual biomass increments, additionality and leakage evidence, packaged for registry submission.

• •Registry-oriented outputs
• •Plot-to-programme scale
• •Auditable, dated evidence