IPP CommonSensing (CS) is an international project based on a partnership between Fiji, 
Solomon Islands and Vanuatu, and a consortium of international partners, working together 
to support and build climate resilience and enhance decision making through the use of 
satellite remote sensing technology. 
One of the key focus areas for the project is disaster risk reduction (DRR), where high-
resolution satellite imagery and products, hazard and vulnerability models and decision 
support system will be made centrally available to the government. The project proposes to: 
• Establish an integrated spatial decision support system for Disaster Risk Management 
(DRR) and Climate Change Adaptation (CCA); 
• Assess risk scenarios at subnational level with projection for the future; 
• Assist government with disaster loss reporting to Sendai Framework Monitor and 
development Subnational Disaster Risk iNFORM index; 
• Support development of high-fidelity exposure database for major settlements area 
utilising very high-resolution satellite imagery to be delivered through the project; 
• Provide technical backstopping to different ministries in geospatial DRR topics by an 
in-country officer; 
• Provide basic and advanced training on the use of geospatial information, thus 
improving their uptake and full utilisation of CommonSensing services; 
• Training technical specialists and decision makers within selected ministries to interpret 
geospatial risk information and incorporate this into their planning processes; 
• Utilise Open Data Cube technology and Analysis Ready Data to provide information for 
CCA and DRR; 
• Raise awareness about satellite remote sensing applications for DRR, with decision-
makers in government, business and community organisations; 
• Map digital Data Poverty and assess its’ impacts on vulnerability across partner 
countries and districts; 
• Develop a mobile application for crowd sensed verification of hazardous terrain 
and vulnerable features; 
• Assess the feasibility of geoinformation layers being used for Augmented Reality 
visualisation of risk landscapes; 
• Assess the feasibility of secondary schools becoming disseminators of geospatial 
information for DRR applications, even in remote locations;