Planet Labels - How do we use our planet?
نویسندگان
چکیده
Accurate and up-to-date land cover classification data can be used for interesting applications in different fields; by tracking daily changes of forest cover in areas of interest it is possible to quickly detect illegal deforestation. Environmental scientists can further explore the consequences of climate change by measuring how fast ice cover is melting. Urban planners can track city growth to better anticipate future infrastructure requirements. With the ever increasing number of satellites with image capturing capabilities, it has become progressively easier to observe and act upon the changes that earths surface is undergoing. We use high-resolution satellite images to classify the land visible according to its cover such as forest, water or urban land. The input to our algorithm is a tile of 128 by 128 pixels cut out from a satellite image. We then extract features like Gabor filters and histograms of the HSV, red edge and near-infrared bands from the tile and use a random forest to output a predicted land cover class.
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