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Titel:

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

Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
22.03.2022
Verantwortlich:
Zhu, Xiao Xiang
Autorinnen / Autoren:
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°
Institutionszugehörigkeit:
TUM
Herausgeber:
TUM
Enddatum der Datenerzeugung:
30.09.2021
Fachgebiet:
BAU Bauingenieurwesen, Vermessungswesen; DAT Datenverarbeitung, Informatik; GEO Geowissenschaften
Quellen der Daten:
Abbildungen von Objekten / image of objects
Datentyp:
Bilder / images
Methode der Datenerhebung:
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.
Beschreibung:
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...     »
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
Schlagworte:
Remote Sensing; Deep Learning; Change Detection; Semantic Segmentation
Technische Hinweise:
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/
Sprache:
en
Rechte:
by-sa, http://creativecommons.org/licenses/by-sa/4.0
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