Crop Identification Using Satellite Data Analytics

By Geosys

Accurately monitoring production across the United States is going to be more crucial this growing season than ever as we manage several new unknown factors. From uncertainties around crops tour restrictions to accuracy of prospective planting reports in your area, it will be important to know what crops are planted and how yields are trending. Using our advanced satellite data analytics, we can help organizations with crop identification across the Midwest for a clearer view on corn and soybean yields.

As AgPro notes North America’s biggest farm suppliers are accelerating shipments of fertilizer, seeds and agricultural chemicals to crop-growing regions in an unprecedented race against the coronavirus that threatens to disrupt planting season. While planting data will provide an early view of what the year could bring, the risk factors presented between the pandemic and extreme weather events makes closely (or remotely, no pun intended) monitoring fields a necessary precaution.

The Normalized Difference Vegetation Index (NDVI) has proven to be a valuable index. It can be calculated from data acquired by many earth observation satellites to enable comparisons between counties or grain origination areas and between years. But it is always best to know what you are looking at: identifying crops makes measurements and yield modeling much more robust.

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https://www.urthecast.com/crop-identification-using-satellite-data-analytics/