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- Title:
Multi-temporal land cover classification with sequential recurrent encoders
- Document type:
- Forschungsdaten
- Publication date:
- 01.07.2021
- Responsible:
- Körner, Marco
- Authors:
- Rußwurm, Marc ; Körner, Marco
- Author affiliation:
- TUM
- Publisher:
- TUM
- End date of data 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:
DOI Article: 10.3390/ijgi7040129
Article Link: https://www.mdpi.com/2220-9964/7/4/129
Source code repository: https://github.com/TUM-LMF/MTLCC- 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
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