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Title:

DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation

Document type:
Forschungsdaten
Publication date:
22.03.2022
Responsible:
Zhu, Xiao Xiang
Authors:
Toker, Aysim*; Kondmann, Lukas*; Weber, Mark; Eisenberger, Marvin; Camero, Andrés; Hu, Jingliang; Pregel Hoderlein, Ariadna; Senaras, Caglar; Davis, Timothy; Cremers, Daniel; Marchisio, Giovanni°; Zhu, Xiao Xiang°; Leal-Taixé, Laura°
Author affiliation:
TUM
Publisher:
TUM
End date of data production:
30.09.2021
Subject area:
BAU Bauingenieurwesen, Vermessungswesen; DAT Datenverarbeitung, Informatik; GEO Geowissenschaften
Resource type:
Abbildungen von Objekten / image of objects
Data type:
Bilder / images
Description:
This is the dataset repository of the paper: Toker, A.*, Kondmann, L.*, Weber, M., Eisenberger, M., Camero, A., Hu, J., Pregel Hoderlein, A., Senaras, C., Davis, T., Cremers, D., Marchisio, G°., Zhu, X.X.°, Leal-Taixé, L.°: DynamicEarthNet: Daily multi-spectral satellite dataset for semantic change segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022)
The DynamicEarthNet dataset contains daily Planet Fusion imagery with monthly land cover...     »
Method of data assessment:
Analysis-ready processing of Planet images done by Planet Labs according to the Fusion pipeline: https://assets.planet.com/docs/Planet_fusion_specification_March_2021.pdf
Processing of Sentinel Imagery via Google Earth Engine
Manual annotation of land cover classes in a temporally consistent way.
Links:
This is version 1 (training data) of the dataset. See links of the other versions below
Version 2 - https://doi.org/10.14459/2024MP1738088
Key words:
Remote Sensing; Deep Learning; Change Detection; Semantic Segmentation
Technical remarks:
View and download (524 GB total, 44 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1650201):
rsync rsync://m1650201@dataserv.ub.tum.de/m1650201/
Language:
en
Rights:
by-sa, http://creativecommons.org/licenses/by-sa/4.0
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