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- Title:
Temporal Vegetation Modelling using Long Short-Term Memory Networks for Crop Identification from Medium-Resolution Multi-Spectral Satellite Images
- Document type:
- Forschungsdaten
- Publication date:
- 18.08.2017
- Responsible:
- Koch, Tobias
- Authors:
- Rußwurm, Marc; Körner, Marco
- Author affiliation:
- TUM: Chair of Remote Sensing Technology
- Publisher:
- TUM: Chair of Remote Sensing Technology
- 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.
- Links:
- This dataset is related to the publication https://mediatum.ub.tum.de/1369517
- Key words:
- Remote Sensing, EarthVision2017, Temporal Modelling, Recurrent Neural Networks, Field Identification
- Technical remarks:
- Follow github instructions ;
https://www.github.com/TUM-LMF/fieldRNN ;
https://www.lmf.bgu.tum.de/fieldRNN
View and download (5.4 GB total, 7 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1370728):
rsync rsync://m1370728@dataserv.ub.tum.de/m1370728/ - Language:
- en
- Rights:
- by, http://creativecommons.org/licenses/by/4.0
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