Preventive solutions and build scenarios related to reducing disaster and CO2 (renewable energies)
We use emergent geotechnologies and AI approaches to geospatial management, build geoplatforms, and create virtual reality spaces associated with GIS
Recent case studies
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Our solution helps to better detail the areas with the highest risk of flooding by using images with higher spatial resolution, a data-driven solution, and spatial statistics/geostatistics.
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Using an operationalized monitoring platform allowed the establishment of dynamic analyses on the occurrence of extreme natural events.
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The random forest technique presented a good performance for the hazard map, showing that machine learning approaches improve the detection of high-risk landslide areas compared with traditional methods.
GIZInsight is a deep tech that works with problems associated with climate change, renewable energy, and natural disasters. We use complex science and technology to solve current issues with high-added value contributing to decarbonization
Our team
We are an interdisciplinary team with solid experience in geospatial analysis, artificial intelligence/machine learning, data sciences, remote sensing, UAVs, Lidar, and 3D modeling. The team has solid geosciences, energy, hydrology, and cartography knowledge. This unique “double helix” of capabilities equips us to help our clients to find solutions to disaster management and CO2 reduction
