Disaster Risk Reduction – DRR

Disaster Risk Reduction (DRR)

Zimgeo DRR
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Get the most accurate and high quality Disaster Risk Reduction (DRR) plan services from a reliable partner.

Using GIS and remote sensing our experts are very capable of designing, implementing Disaster Risk Reduction (DRR) plans. Our work aims to prevent new and reduce existing disaster risks and to contribute to strengthening resilience. We have successfully created risk maps for flooding, droughts, disease in Zimbabwe and we are still continuing to contribute to DRR,

Disaster risk reduction Plans in Zimbabwe

Disaster risk reduction (DRR)

We use different methodologies for data collection, analysis and advising that use data collected using remote sensing and in-situ measurement to enhance our contribution to disaster risk reduction (DRR) at all levels in a more cooperative, cost-effective, systematic and sustainable manner. Among other things, our strategies assist in the setting up at different capacities to:
• support hazard and disaster preparedness through early warning systems;
• provide hazard information ( including multi-hazards) for risk assessments surveys, hazards mapping, prevention strategies, response and recovery, and risk transfer across geographic locations;
• Crafting user and disaster mitigation strategies.

GIS & Remote Sensing in Summary

Satellite information is fundamentally important if we are going to solve some of the major challenges of our time. For issues like climate change, natural resources, disaster management and the environment, remote sensing provides a wealth of information at a global scale. What we get are answers to these problems so we can make informed decisions.

Mapping, Cartography, Photogrammetry

There are endless possibilities of benefits to society from remote sensing. With higher spatial, spectral and temporal resolution, the future of remote sensing is promising.

Drone Imagery

If we are going to take on some of the biggest challenges of Earth in the near future, we need remote sensing to cover that much ground. Thanks to @NASA_Landsat for the Tweet! NASA Landsat Twitter …And thanks to NASA Terra Satellite!