Why in the News
The Forest Survey of India (FSI) has stopped issuing fortnightly deforestation alerts through its AI-based Anavaran Deforestation Alert System. The portal has not been updated since November 2025.
What was the Anavaran System?
- An AI and satellite-based monitoring system launched in January 2024.
- Provided deforestation alerts every 15 days to states.
- Alerts included precise geographic coordinates where forest cover loss was detected.
Purpose:
- Enable quick field inspections by forest officials.
- Improve near-real-time monitoring of deforestation.
Technology Used
The system used remote sensing and machine learning:
- Google Earth Engine
- Sentinel-2
- Sentinel-1
Features:
- Optical satellite imagery (Sentinel-2).
- Synthetic Aperture Radar (SAR) data from Sentinel-1 for cloudy or monsoon conditions.
- Machine learning algorithms compared before-and-after images to detect forest loss.
Performance of the System
- 12,351 alerts issued between Jan 2024 and Oct 2025.
- Average alerts per month: 561
- Alerts increased to 1,028 per month during Nov–March, when deforestation peaks.
Why Alerts Were Stopped
- According to FSI officials:
- The system was only a pilot project.
- The government is currently reviewing feedback from states on its usefulness.
- Active monitoring reportedly stopped in January 2026.
Comparison with Global Systems
- The system was considered similar to Terra‑I, used in countries like Peru. However, Anavaran had higher spatial resolution:
- 10–20 metre resolution (Sentinel satellites)
- Terra-I: 250 metre resolution
Other Forest Monitoring Systems in India
- Van Agni Portal
- Fire alerts using satellite data have been operational since 2004.
| [2015] In which of the following activities are Indian Remote Sensing (IRS) satellites used? 1. Assessment of crop productivity 2. Locating ground water resources 3. Mineral exploration 4. Telecommunications 5. Traffic studies Select the correct answer using the code given below. (a) 1, 2 and 3 only (b) 4 and 5 only (c) 1 and 2 only (d) 1, 2, 3, 4 and 5 |

