Geocledian GmbH

Founded in 2013, Geocledian develops and operates satellite data services for IT applications in agriculture. The team has expertise in all areas of remote sensing such as optical and microwave remote sensing, vegetation modeling, time series analysis, Big Data techniques and product development. Geocledian enables its customers to integrate remote sensing-based services into their operational workflows and ICT systems. Our core product, Ag|Knowledge, is a multi-sensor API for mobile and web applications based on open satellite data from Copernicus and other sources. It enables monitoring of crop status, plant health and farmer activities. It offers a wide range of products which range from various vegetation indices, biophysical plant parameters, anomaly detection to plant phenology prediction using artificial intelligence.

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Reliable digital monitoring of field crops

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Geocledian develops and operates satellite data services for IT applications in agriculture. Our powerful Ag|Knowledge platform allows reliable crop monitoring and can be integrated into any mobile and web applications. This can improve agricultural extension, minimize risks in contract farming and develop novel application in digital agriculture.

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• Ag|Knowledge field monitoring with the following individual services:
• Automated detection of field heterogeneities
• Field crop validation and detection 
• Field condition monitoring, biomass recording and field comparisons
• Harvest maturity monitoring to support crop planning and quality optimization 
• Zone maps to optimize input use and increase yield
• Continuous production status recording across many fields
• Agronomic weather services to support your farming activities and yield forecasting
• Regional drought monitoring for better risk assessment
• Expert advice 
• Product development and innovation

Core competencies

• Optical and microwave remote sensing, active and passive
• derivation of vegetation indices and biophysical plant parameters
• time series analysis
• plant health analysis
• vegetation modeling
• anomaly detection
• artificial intelligence
• Big Data techniques
• ICT system design

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