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Rainfall ≠ Soil Moisture

And why this will change agriculture

That title might sound very logical, but the truth is that a lot of models across the globe are using rainfall as a key input dataset to estimate the amount of water in the soil. Take crop yield models for example. Crops need water to grow and if you want to manage and forecast their yield accurately, you need to have a realistic estimate of the amount of water that is available at the root zone level of the crop.

There is quite a hype around field sensors to solve for this problem, and a lot of startups are entering this field. But what do you do if you operate on a global scale, when your company is involved in hundreds of millions of hectares of farmland? Scientists across the globe have come up with a variety of models and techniques to extrapolate field sensor measurements to estimate the moisture content of large-scale regions. Some good, and some, well, not so good....  

That is why VanderSat is doing what it does best: Delivering water information like Soil Moisture to the whole world on field scale, independently observed by microwave sensors aboard of satellites.  

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