User: Guest  Login
Document type:
Forschungsdaten 
Authors:
Zhu, Xiaoxiang ; Hu, Jingliang ; Qiu, Chunping ; Shi, Yilei ; Bagheri, Hossein ; Kang, Jian ; Li, Hao ; Mou, Lichao ; Zhang, Guicheng ; Häberle, Matthias ; Han, Shiyao ; Hua, Yuansheng ; Huang, Rong ; Hughes, Lloyd ; Sun, Yao ; Schmitt, Michael; Wang, Yuanyuan 
Author affiliation:
Zhu, Xiaoxiang (TUM, DLR); Hu, Jingliang (DLR); Qiu, Chunping (TUM); Shi, Yilei (TUM); Bagheri, Hossein (TUM); Kang, Jian (TUM); Li, Hao (TUM); Mou, Lichao (TUM); Zhang, Guicheng (TUM); Häberle, Matthias (DLR); Han, Shiyao (TUM); Hua, Yuansheng (TUM); Huang, Rong (TUM); Hughes, Lloyd (TUM); Sun, Yao (DLR); Schmitt, Michael (TUM); Wang, Yuanyuan (TUM) 
Publisher:
TUM 
Title:
NEW: So2Sat LCZ42 
Time of production:
30.08.2018 
Subject area:
BAU Bauingenieurwesen, Vermessungswesen; DAT Datenverarbeitung, Informatik; GEO Geowissenschaften 
Resource type:
Abbildungen von Objekten / image of objects 
Data type:
Bilder / images 
Description:
So2Sat LCZ42 is a dataset consisting of corresponding synthetic aperture radar and multispectral optical image data acquired by the Sentinel-1 and Sentinel-2 remote sensing satellites, and a corresponding local climate zones (LCZ) label. The dataset is distributed over 42 cities across different continents and cultural regions of the world, and comes with a split into fully independent, non-overlapping training, validation, and test sets. 
Key words:
local climate zones ; big data ; classification ; remote sensing ; deep learning ; data fusion ; synthetic aperture radar imagery ; optical imagery 
Technical remarks:
View and download (51.8 GB, 6 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1483140):
rsync rsync://m1483140@dataserv.ub.tum.de/m1483140/ 
Language:
en 
Rights:
by, http://creativecommons.org/licenses/by/4.0 
Horizon 2020:
ERC-2016-StG-714087