GeoAct is an earth observation consultancy specialized in the promotion, exploitation and adoption of geo information and innovative intelligent technologies. Headquartered in California, US, the company offers independent services in the main areas of computational and data sciences, remote sensing and geoformation technologies to address environmental challenges facing citizens, governments, natural resources managers and decision makers.
GeoAct is actively combining the physical and earth systems knowledge with new breakthroughs in machine learning and data mining; the outcome are ideas and proposals to address sustainable development goals. GeoAct coordinates and integrates state-of-the-art Earth Observation activities globally to develop links and initiatives towards achieving the sustainable development goals (SDGs).
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To that end, GeoAct provides value-adding consultancy services focusing on the strong engagement of relevant stakeholders, the detailed analysis of user requirements and the effective bridging of R&D results to market opportunities and societal needs. Our excellence is driven by the GeoAct’s strong background in STEM education and outreach activities stemming from its deep involvement in Geospatial intelligence endeavors.
Owed to the complexities embedded in the field of Geospatial intelligence, GeoAct is pioneering in combining and appropriately using the rapidly increasing data sources and the associated computational power. GeoAct consultancy employs Artificial Intelligence (AI) and Machine Learning (ML), to accomplish tasks in a “smart” way through studying algorithms and statistical models, often built from known data, where machines rely on patterns and inference to carry out specific tasks independently in an effective way with no need for explicit instructions.
The way GeoAct consultancy is applying and developing ML methodologies to geoscience and remote sensing problems, has the potential of becoming a universal approach in geoscientific classification, land use/land cover mapping, change- and anomaly-detection problems and much more.
