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Tag: classification

Make a simple landcover classification map using Regression Tree

The full code for classification after obtaining sample points is here. The full code for classification with sample points generated on the fly is here.

Note: This is a very simple method for generating Landcover maps meant for showing the basic workflow for generating Landcover maps. You can use more sophisticated algorithms like CONTINUE READING

Classifying the dynamics of the forest using the time-series

In this post, we will use the datasets from UMD (Tree Canopy Cover [TCC] and LOSS layers) to calculate and classify the dynamics of the forest. The TCC is available from 1988 and LOSS layers are available from 1989. Here we will be calculating different forest dynamics. Use the final assemblage using this link or … CONTINUE READING

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