We are a British based Limited company founded by PhDs combining expertise in Machine Learning, Deep Learning, Data Science, Remote Sensing, Planetary Science and Space Engineering. We are backed by the world's leading talent investor and have been developing our deep technology since 2016. Our flagship product is the innovative Predictive Crop Yield Index insurance based on machine learning analysis of satellite, soil and weather data. Currently available in Turkey and Ukraine, this is area crop yield index insurance which covers the entire country with insurance coverage for multiple crops at ilçe level (also offered at province level) in Turkey and at rayon level (also offered at oblast level) in Ukraine. Request a two-part report for more information including insurance pricing and payout accuracy information using the form below. Using our machine learning technology we can also predict crop yields well before harvest for eight crops in Ukraine, including sunflower, wheat and maize, at rayon, oblast and national level.


Dr Steven R Tsitas

CEO, Co-founder

Dr Steven R Tsitas has a PhD in Planetary Science from the California Institute of Technology (Caltech), a Masters in Astronautics and Space Engineering from Cranfield University, plus three other degrees in Physics and Planetary Science. He was the first to publish a peer reviewed journal paper on the system design of a 6U CubeSat capable of pushbroom imaging to a similar standard as an existing commercial satellite. His innovative 6U CubeSat work has received extensive media coverage.

Dr Phong D Vo

CTO, Co-founder

Dr Phong D Vo has a PhD in Signal and Images from Télécom ParisTech, plus two other degrees in Computer Science. His thesis, funded by the French Space Agency, proposed a new class of semi-supervised machine learning including applications for satellite images. He further explored this work using deep learning technology during a Postdoctoral Fellowship at the French Alternative Energies & Atomic Energy Commission. With expertise ranging from machine learning to computer vision, Vo is also a reviewer for several remote sensing journals.


Earth Observation Technologies

Kubesee uses long-term high quality Earth observation data publicly available from NASA, NOAA and ESA. Some of the satellites we use are listed below. More information about our data sources is given in a two-part report which can be requested using the form below.

Terra Satellite

The flagship of the Earth Observation System, Terra is a multi-national NASA scientific research satellite. Terra is almost 7 m long and 3.5 m wide and weighs 5,190 kg. Terra carries five instruments capable of simultaneous observations of the Earth’s surface and atmosphere. Terra was launched by NASA into a sun synchronous orbit on 18 December 1999. The MODIS instrument carried by Terra is known for its long time series of high temporal resolution images of land, ocean and clouds with a spatial resolution as good as 250 meters, daily revisit rate and 36 spectral bands. Applications of the MODIS instrument include the monitoring of vegetation (including crop) health, deforestation, changes in the water levels of major lakes, forest fires and global snow cover changes.

Aqua Satellite

Smaller than Terra but still a large satellite at 2,934 kg, the NASA Aqua scientific research satellite was launched 2.5 years after Terra in May 2002, with on-board instruments collecting information about the Earth’s water cycle including precipitation, evaporation, clouds and precipitation. Aqua is also equipped with a MODIS instrument, which provides high temporal resolution images of land, oceans and clouds with a daily revisit rate and spatial resolutions as good as 250 meters.

NOAA Satellites

The latest generation of environmental satellites, NOAA-20, together with previous generations have maintained a long term time-series of Earth observation data going back to the 1980s. NOAA-20 was launched into a sun synchronous orbit on November 18 2017 and has a mass of 2,294 kg. The Visible Infrared Imaging Radiometer Suite (VIIRS) instrument on NOAA-20 is a moderate resolution imaging instrument that observes the Earth’s land, oceans and atmosphere in visible and infrared light with 22 bands (colours) at high temporal resolution. VIIRS data is compatible with MODIS data from the Terra and Aqua satellites.

Suomi NPP

This 464 kg polar orbiting weather satellite, operated by NOAA, was launched in 2011. Soumi NPP carries a VIIRS instrument which is a 22-band radiometer designed to collect infrared and visible light observations of land, the oceans and atmosphere.


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