PREDICTIVE MODEL APPLICATION FOR LANDSLIDES

WHAT IS SOILRISK?

SOILRISK is a high-resolution Predictive Model Application for Landslides that gathers atmospheric and environmental data and converts it into valuable intelligence in order to forecast landslide occurrence and provide a warning system for prevention.

SOILRISK is based on an innovative Machine Learning approach and a proprietary early-warning algorithm, using more than 20 conditioning factors dynamically. Among many others, Land Cover, Lithology, Vegetation, Moisture, Wind speed, Precipitation, Subsidence recurrently feed SOILRISK’s algorithm.

ADVANTAGES

High accuracy predictive model

Most complete decision tree to date

Machine learning approach

More than 20 conditioning factors considered

Spatial resolution of 5m

3D web-based GIS

Easy integration API

Configurable alerts by user and area of interest

Subscription-based service - pay per use

Systematic monitoring of large or small areas

OVERVIEW

DEFORMATION

line

High-quality ground-surface motion images derived using spaceborne InSAR play an important role in the accuracy improvement of the landslide susceptibility map, helping to quantify spatial and temporal trends of slope activity and identifying isolated instabilities.

CASE STUDY

line

SOILRISK is helping to predict landslides in the Azores

Every year thousands of lives are lost due to landslides on a global scale. In the last 30 years, more than 30 people lost their lives in the Azores due to landslides. Prolonged and heavy rainfall is the main trigger of most landslides. Traditionally, landslide susceptibility maps have low resolution, implying that early warnings are not precise enough to become actionable. The primary goal was to create a machine learning algorithm that would predict with accurate spatial resolution the most probable location of a landslide in the coming days.

line

BECOME A PARTNER

We’re looking for international partners.

Join our business partner program.

Receive all the support you need.

Grow Soilrisk in your territory.

SOILRISK TEAM

juan

JUAN TORRES-BATLLÓ

EO Researcher

georgia

GEORGIA KARADIMOU

Geologist

andre toste

ANDRÉ TOSTE

Software Engineer

miguel

MIGUEL CORREIA

Business Development

line

EYECON GROUP

Parque da Ciência e Tecnologia da Ilha Terceira
9700-702 Terra-Chã
PORTUGAL

info@soilrisk.com