Temporal Vegetation Modelling using Long Short-Term Memory Networks for Crop Identification from Medium-Resolution Multi-Spectral Satellite Images
End date of data production:
01.06.2017
Subject area:
BAU Bauingenieurwesen, Vermessungswesen
Resource type:
Experimente und Beobachtungen / experiments and observations; Abbildungen von Objekten / image of objects
Other resource types:
Training- and evaluation data; RNN networks
Data type:
Bilder / images; mehrdimensionale Visualisierungen oder Modelle / models; Datenbanken / data bases
Other data type:
Serialized data containing multispectral Sentinel 2 images and TensorFlow checkpoints
Description:
Data supplements for the paper “Dataset for Temporal Vegetation Modelling using Long Short-Term Memory Networks for Crop Identification from Medium-Resolution Multi-Spectral Satellite Images” containing training- and evaluation data, evaluation methodology and neural network models.