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by krisoft
1048 days ago
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The thing you are asking for does not sound hard if you have multispectral satelite data of your target area. The typical trick is to look for areas which absorb visible red while reflect near infrared to identify vegetation. If all you have is rgb imagery then you can use machine learning techniques to develop a classification system. It does not look like this model means a breakthrough in your application area. Definietly not out of the box, maybe with more work you can refine it to do the classification you are looking for. Do you have access to satelite images of areas where you would be interested in these percentages? |
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Answering my own question: it seems one can access the right type of data from the Sentinel satelites relatively freely.