Copernicus Sentinel-1 SAR

Copernicus Sentinel-1 SAR

MH Subset Needed

C-band Synthetic Aperture Radar (SAR) imagery providing all-weather, day/night, cloud-penetrating observations at 5-20m resolution. Critical for flood mapping during monsoon, crop monitoring, and ground subsidence detection in Maharashtra.

Build a flood extent mapper for Maharashtra using Sentinel-1 SAR that works through cloud cover during monsoon.
Maharashtra subset not yet extracted. This is a global dataset that contains data covering Maharashtra. A regional subset can be extracted by filtering on geographic coordinates or administrative boundaries.
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Quick Start

# Access via Copernicus Data Space
import ee  # Google Earth Engine
# sentinel1 = ee.ImageCollection('COPERNICUS/S1_GRD')
# mh = sentinel1.filterBounds(ee.Geometry.Rectangle([72.6, 15.6, 80.9, 22.1]))
print('Sentinel-1 SAR: https://dataspace.copernicus.eu/')
Modality
satellite-imagery
Size
5-20m resolution; 6-12 day revisit; global coverage since 2014
License
Format
GeoTIFF / SAFE
Language
en
Update Frequency
6-12 days
Organization
European Space Agency (ESA)
Category
geospatial-gis

Schema

FieldTypeDescription
vv_backscatterfloatVV polarization backscatter value in dB
vh_backscatterfloatVH polarization backscatter value in dB
acquisition_datedateImage acquisition date

Build With This

Create an all-weather crop classification model using SAR backscatter time-series for Maharashtra's kharif season
Develop a soil moisture estimator from SAR data for drought monitoring in Maharashtra's rain-fed agriculture areas
Build a built-up area change detector using SAR coherence for tracking Maharashtra's urban expansion

AI Use Cases

Flood extent mapping during monsoonRice paddy and crop type classification via backscatterUrban ground subsidence monitoring in Mumbai/PuneSoil moisture estimationOil spill detection along Konkan coast
Last verified: 2026-03-09