Credit: Svetlana Illarionova et al., IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
Skoltech scientists have developed an algorithm that can identify various tree species in satellite images. Their research was published in the
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
Identifying tree species is essential for efficient forest management and monitoring. Satellite imagery is an easier and cheaper way to deal with this task than other approaches that require ground observations of vast and remote areas.
Researchers from the Skoltech Center for Computational and Data-Intensive Science and Engineering (CDISE) and Skoltech Space Center used a neural network to automate dominant tree species identification in high and medium resolution images. A hierarchical classification model and additional data, such as vegetation height, helped further enhance the predictions quality while improving the algorithm s stabi
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