Bhuvan NRSC Open EO Data Archive

Bhuvan NRSC Open EO Data Archive

ISRO satellite imagery archive including Resourcesat LISS-III, AWiFS, and Cartosat DEM freely downloadable for the Maharashtra region, with resolutions from 23.5m to 56m.

Build a crop health monitoring system using NDVI time-series from LISS-III imagery to detect drought stress in Maharashtra's rainfed agriculture zones.
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Quick Start

# Register at https://bhuvan.nrsc.gov.in/ for data access
import rasterio
import numpy as np
# After downloading a LISS-III GeoTIFF for Maharashtra:
# src = rasterio.open('liss3_maharashtra.tif')
# nir, red = src.read(4), src.read(3)
# ndvi = (nir.astype(float) - red) / (nir + red + 1e-10)
# print(f"NDVI range: {ndvi.min():.2f} to {ndvi.max():.2f}")
print("Register at https://bhuvan.nrsc.gov.in/ to download GeoTIFF tiles")
Modality
geospatial
Size
20+ TB archive; Cartosat DEM 30m, LISS-III 23.5m, AWiFS 56m resolution
License
Format
GeoTIFF
Language
en
Update Frequency
monthly
Organization
ISRO / National Remote Sensing Centre (NRSC)

Schema

FieldTypeDescription
tile_idstringUnique tile/scene identifier for the satellite image
acquisition_datedateDate the satellite image was captured
sensorstringSensor type (LISS-III, AWiFS, Cartosat)
resolution_mfloatSpatial resolution in meters
bandslist[string]Spectral bands available (e.g., Green, Red, NIR, SWIR)

Build With This

Create an automated flood extent mapper for Maharashtra using pre/post monsoon satellite imagery with change detection algorithms
Develop a deforestation monitoring dashboard for Western Ghats using multi-temporal satellite data with deep learning classification
Build a solar farm site suitability model combining Cartosat DEM with land cover classification from LISS-III imagery

AI Use Cases

Crop mappingNDVI time-series analysisDEM-based flood modelingChange detection
Last verified: 2026-03-07