Evaluating the potential of image texture to model the attributes of a plant community

What is it about?

The potential of image texture to sense the structural and diversity spatial variation of an Oak Forest. A further comparison was made between the textures extracted from a SPOT and a Google-Earth image. Both textures were more capable of describing the variation of the forest's diversity characteristics than that of its structural attributes. However, the fit difference between the models constructed with SPOT and Google-Earth textures was minimal.

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Why is it important?

The results suggest that Google-Earth images can be used to extract texture metrics and afterwards, use them to quantify the diversity-attributes spatial variation of other Oak forests. This can be of particular importance to monitor species hotspots