Copernicus Sentinel-2 Multispectral Imagery
MH Specific10m resolution 13-band optical satellite imagery with 5-day revisit for Maharashtra
Build a crop type classification model for Maharashtra using Sentinel-2 multispectral time-series imagery.
Quick Start
# Access via Copernicus Data Space or Google Earth Engine
import ee
# s2 = ee.ImageCollection('COPERNICUS/S2_SR_HARMONIZED')
# mh = s2.filterBounds(ee.Geometry.Rectangle([72.6, 15.6, 80.9, 22.1]))
print('Sentinel-2: https://dataspace.copernicus.eu/')
Modality
Raster (GeoTIFF / JPEG2000 / COG)
Size
10m/20m/60m bands; 100x100 km tiles; full archive since 2015
License
Copernicus Open License (free, full, open)
Organization
European Space Agency / Copernicus Programme
Schema
| Field | Type | Description |
|---|
| band | string | Spectral band name (B02-Blue, B03-Green, B04-Red, B08-NIR, etc.) |
| resolution_m | int | Spatial resolution (10m, 20m, or 60m) |
| acquisition_date | date | Image acquisition date |
Build With This
Create a water quality monitor for Maharashtra reservoirs using Sentinel-2 spectral indices for algal bloom detection
Develop an automated crop damage assessment system using pre/post-event Sentinel-2 imagery for insurance claims
Build a sugarcane area estimator for Maharashtra using NDVI phenology from Sentinel-2 time-series
AI Use Cases
Crop type classificationurban growth detectionwater quality monitoringNDVI/EVI vegetation indexing
Last verified: 2026-03-07