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CLUSTER LANDSLIDE-DATA-MONITORS · 5 ENTRIES · EARLIEST ENTRY 2026-08-24

landslide risk monitoring systems

This cluster consists of platforms and AI-based systems that monitor landslide risk using sensor data, live weather, historical factors, and environmental conditions, issuing real-time early warnings and tiered alerts. The cluster's dated history before the index start is too thin to read a shape from—it predates the index or its members are undated. Among traction leaders, ls-monitor leads with 5 stars, followed by landslide-ai and BhuSanket at 2 stars each.

Entry timeline

ENTRY TIMELINE

AUG 2026: 2SEP 2026: 3
AUG 2026SEP 2026

Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.

Members by activity

Activity signals, not revenue.

Build origin · 1 hand-coded · 4 unlabelled

Operator · 4 hobby · 1 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 5 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01ls-monitor5★22 dayslivehobbyWeb platform that monitors geotechnical and environmental sensor data to warn of landslide risk in real time.
  2. 02landslide-ai3★22 days—hobbyAI-based system that monitors landslide susceptibility and issues early warnings using historical data and environmental factors.
  3. 03BhuSanket2★1 mo—AI app that monitors landslide risks and issues early warnings to protect communities in northeastern India.
  4. 04landscapedetection10★1 mo—hobbyEarly warning system that monitors landslide risk in northeast India using sensor telemetry and an interactive GIS dashboard.
  5. 05disaster0★2 molivehand-codedhobbyWeb application that forecasts landslides and floods in Kerala by combining physics-based terrain simulation with machine learning models.

Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.