Sinkhole detection feature uses satellite data analysis

April 27, 2021  - By

Photo: Bryngelzon/E+/Getty Images

In recent years, sinkholes have been occurring around the world. A new service offers a sinkhole detection prediction tool using satellite imagery analysis.

Synspective Inc., a satellite data and analytic solution provider, has released a sinkhole detection feature that predicts ground sinking area.

Sinkholes are often caused by human activities (underground tunneling, oil/gas pumping, underground coal drilling, groundwater pumping, etc.). When these sinkholes occur in residential areas, they can cause significant damage to buildings and sometimes even loss of life.

The sinkhole detection function developed by Synspective is a unique prediction algorithm that uses data science and machine learning to combine and detect the characteristics of spatial and temporal variations. With this technology, it is possible to identify areas where sinkholes are likely to occur in advance, areas where cave-ins have occurred, and areas where cave-ins are in progress after they have occurred.

This function will be implemented in Land Displacement Monitoring, a solution service announced in 2020 that analyzes ground deformation over a wide area using satellite data. The input data is automatically updated, and the platform handles the processing and analysis of the complex satellite imagery. Since it can be viewed in a web environment, it can be checked at any time from the office as well as from the field.

This new service’s expected use is multifaceted — it can be applied in many land risk-management projects such as construction projects, airport maintenance projects, and subway development projects, among others.

In addition, remote area/site surveying can be extremely relevant in disaster struck areas where human access is restricted or dangerous, or where social movement is restricted due to the COVID-19 virus impact.

Image: Synspective

Image: Synspective