When you wish to simply determine whether there is vegetation cover or possibly the overall health of the vegetation, a much better option than Google Earth imagery is to use false colour imagery – and satellites are typically designed with this in mind.Īnother example of people using image recognition on Street View imagery is this one about identifying fire-hydrants and mentioned in that article is a project using Street View to study gentrification, which uses historical Street View to measure changes in buildings over time. Google Earth Engine, for example, is designed around such large scale analysis. The idea of using imagery for surveys of vegetation is of course far from new. In this case they are trying to not only count individual trees but also identify the species. We recently came across this story about a Caltech researcher that is helping the city of Los Angeles to count its trees with the help of a combination of Google Earth imagery and Street View. They are adding new areas with time, so be sure to keep an eye on them. We have in the past had a look at Terrapattern, an experimental search engine for aerial and satellite imagery. Google Earth and Street View imagery combined with image recognition has a wide range of possible applications. One area where AI is starting to show practical use is in imagery recognition. The last few years have seen major advances in computer artificial intelligence (AI).
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