SatSure, a decision intelligence company based in Bangalore (India) and St. Gallen (Switzerland), has launched two new patent-pending data products after rigorous testing and expert validation to address the challenges around soil moisture and crop monitoring at scale. These will provide further useful insight to the firm’s customers making critical decisions in banking, financial services and insurance.
India is the 2nd largest agricultural producer in the world but is a country faced with many agricultural challenges, these include an increasingly erratic monsoon season and diverse climate conditions. Drought monitoring, water resource management and irrigation scheduling are crucial for high crop yields. Soil moisture data is one of the most valuable pieces of information, if harnessed correctly it can give new insights to boost the health of crops.
Within Satsure’s data platform ‘SatSure Sparta’ farm-level soil moisture and ‘India Cropland Data Layer’ datasets will be available from 15th July 2021 for visualisations, download and API based consumption, along with its freemium datasets on vegetation, land, water change detection and climate data categories.
SatSure’s founder and CEO, Prateep Basu said, “At SatSure, we believe in innovating as per the market’s needs rather than pushing technology to the market. While there are other soil moisture products offered by a few firms globally, what we have done is created a high spatial resolution daily soil moisture product using a combination of publicly available satellites, which is unique and as good as having an IoT device on every farm.”
Rashmit Singh Sukhmani, co-founder and CTO of SatSure, added, “Both the products bring forth our team’s expertise in satellite data analytics and AI/ML. Just like SatSure Cygnus, where we are providing high-frequency optical satellite data by overcoming the visibility issues of cloud cover, especially during the monsoon season, through the India Cropland data layer, we are addressing another critical issue of satellite-based crop monitoring, and it is an essential data input for remote sensing and GIS analysts who perform crop classification using satellite images. Trained with more than half a million annotated datasets across different states, it significantly enhances crop classification accuracy, and it has been built using three years of openly available Sentinel-2 imagery from the European Space Agency.”