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Document type:
Forschungsdaten 
Publication date:
01.07.2021 
Authors:
Rußwurm, Marc ; Körner, Marco 
Author affiliation:
TUM 
Publisher:
TUM 
Title:
Multi-temporal land cover classification with sequential recurrent encoders 
Time of production:
13.01.2018 
Subject area:
BAU Bauingenieurwesen, Vermessungswesen; DAT Datenverarbeitung, Informatik; GEO Geowissenschaften 
Other subject areas:
Remote Sensing; Machine Learning; Vegetation analysis; Crop Type Mapping 
Resource type:
Experimente und Beobachtungen / experiments and observations 
Other resource types:
Zipped Image and Timeseries Data 
Data type:
Bilder / images; mehrdimensionale Visualisierungen oder Modelle / models 
Description:
Spatio-temporal reflectance measurements form Sentinel 2 satellites of agricultural field parcels in Bavaria. Labelled dataset for crop type mapping 
Method of data assessment:
Download from Sentinel 2 satellite data archive, image processing (cropping to relevant field parcels). Association with crop type labels acquired from the Ministry of Agriculture. 
Links:
Key words:
Satellite Time Series analysis; Multi-temporal image analysis; Vegetation classification; Crop Type Mapping; Deep Learning; Machine Learning 
Technical remarks:
View and download (40.3 GB, 4 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1612844):
rsync rsync://m1612844@dataserv.ub.tum.de/m1612844/ 
Language:
en 
Rights:
by, http://creativecommons.org/licenses/by/4.0