Tools & data


SatSure launches soil moisture and India cropland data

SatSure in India launches farm-level soil moisture and India cropland data using satellite imagery.

The farm-level Soil Moisture and the “India Cropland Data Layer” datasets are available on SatSure’s data platform SatSure Sparta exclusively from 15th July 2021 for visualisations, download and API (application programming interface) based consumption, along with its freemium datasets on vegetation, land, water change detection and climate data categories.

Daily soil moisture product

SatSure claims it has created a high spatial resolution daily soil moisture product using a combination of publicly available satellites. “It is unique and as good as having an IoT device on every farm,” SatSure’s founder and CEO, Prateep Basu said.

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Farm-level soil moisture derived using satellites.  - Source: SatSure
Farm-level soil moisture derived using satellites. - Source: SatSure

According to Rashmit Singh Sukhmani, co-founder and CTO of SatSure, the India Cropland data layer is an essential data input for remote sensing and GIS analysts who perform crop classification using satellite images. It is to enhance crop classification accuracy, and it has been built using three years of openly available Sentinel-2 imagery from the European Space Agency.

The importance of soil moisture data

India is the 2nd largest agricultural producer, but still, compared with developed countries like China and the USA, it lags in the quantity of crops produced per unit of land. According to SatSure, such a yield gap exists in India because of many factors such as decreasing farming landholdings, dependence on the increasingly erratic monsoon, high diversity in agro-climatic conditions, timely and affordable access to credit and farm inputs.
Among the many missing links in improving agriculture productivity, soil moisture is one of the more valuable information for the entire agriculture sector, states the company. Its use cases span drought monitoring, water resource management, irrigation scheduling, and sowing advisories. It is a critical variable at the macro and micro-level for policymakers, crop insurers, commodity traders, and agriculture input companies.

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