Service Overview
We extract actionable environmental metrics from multispectral satellite imagery. By calculating indices such as NDVI (Vegetation), NDWI (Water), and LST (Land Surface Temperature), we quantify landscape health and anomalies.
Why It Matters
Spectral indices provide objective, quantifiable data over large areas that are impossible to survey manually on the ground. They form the backbone of drought monitoring, agricultural yield estimation, and urban heat island studies.
Workflow & Methodology
Imagery is sourced from USGS/ESA and atmospherically corrected. Using Google Earth Engine or Python, we apply cloud-masking algorithms and compute the required indices across time-series data to detect seasonal or multi-year trends.
Deliverables
- Georeferenced raster outputs (GeoTIFF) for all calculated indices.
- Statistical summary tables (zonal statistics by region).
- Time-series charts illustrating seasonal variations.
Pricing Context: Single-date index calculation starts at ₹8,000. Multi-decadal time-series analysis across large regions ranges up to ₹25,000. Final quote depends on project scope, area, dataset, turnaround time, and deliverables.