User Guide

Learn how to use the Philippines Landslide Forecasting System

Quick Navigation
Getting Started Using the Map Making Predictions Understanding Results Dashboard Features FAQ

Getting Started

Welcome to the Philippines Landslide Forecasting System! This guide will help you navigate and use all features effectively.

What is this system?

Our system uses advanced AI and machine learning to predict landslide risks across the Philippines. It analyzes multiple factors including:

  • Rainfall data - Both cumulative and intensity measurements
  • Soil moisture - Ground saturation levels
  • Terrain analysis - Slope angles
  • Soil composition - Different soil types

Using the Map

1. Selecting a Location

You can select a location in two ways:

  • Search: Type a city name in the search box (e.g., "Manila", "Cebu", "Davao")
  • Click: Click anywhere on the map to select that location
Tip: The map covers the entire Philippines. You can zoom in/out and pan around to explore different areas.
2. Understanding Map Markers

Above the marker, information about the selected or searched location is displayed.

  • Location: This displays the location name
  • Slope: This displays the slope angle of the location
  • Soil: This displays the soil composition of the location

Making Predictions

Step-by-Step Process
1
Select Location

Search or click on the map

2
Choose Date

Select forecast date (up to 5 days ahead)

3
Select Period

Choose from 3hrs to 5 days

4
Get Prediction

Click "Predict Landslide "

Available Time Periods:
  • 3 Hours - Short-term immediate risk
  • 6 Hours - Extended immediate risk
  • 12 Hours - Half-day forecast
  • 1 Day - Daily forecast
  • 3 Days - Medium-term planning
  • 5 Days - Long-term planning

Understanding Results

Prediction Result Explained
Landslide

Minimal landslide probability. Normal conditions with low rainfall and stable soil.

Non-landslide

Increased probability. Monitor conditions and prepare precautionary measures.

Contributing Factors
Factor Description Impact
Rainfall Cumulative rainfall (mm) and intensity (mm/hr) Higher values increase landslide risk
Soil Moisture Percentage of water content in soil at 100-200cm depth Saturated soil is more prone to landslides
Slope Angle of terrain in degrees Steeper slopes have higher risk
Soil Type Composition and characteristics of soil Clay soils are more susceptible

Dashboard Features

The dashboard provides comprehensive system monitoring and historical analysis.

Key Metrics
  • Historical Landslide Occurrences: Yearly and monthly landslide count
  • Map for landslide occurrences: Locates where landslide occur based on historical data
  • Regions with most landslide occurences: Displays regions where landslides mostly occurred
Charts & Analysis
  • Soil Vulnerability Type: The count of each soil type which causes landslide
  • Slope Type: Types of slope in degrees and their relation to landslide occurrences

Frequently Asked Questions

Our system maintains a 90.6% accuracy rate based on historical validation. However, predictions should be used alongside other safety measures and professional judgment.

Contact local authorities, avoid the high-risk area if possible, and follow official emergency protocols. Consider evacuation if recommended by local disaster management agencies.

Weather data is updated every 3 hours, terrain data is static but highly accurate, and the ML model is retrained weekly with new data to maintain accuracy.

While our system is highly accurate, it should be used as a supplementary tool alongside official meteorological and geological services. Always consult with local authorities for official emergency decisions.