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International Journal of Digital Earth|February 2, 2018
Semantic and syntactic interoperability in online processing of big Earth observation dataMartin Sudmanns, Dirk Tiede, Stefan Lang, et al.
European Journal of Remote Sensing|November 4, 2017
Architecture and prototypical implementation of a semantic querying system for big Earth observation image basesDirk Tiede, Andrea Baraldi, Martin Sudmanns, et al.
International Journal of Digital Earth|September 17, 2020
Assessing global Sentinel-2 coverage dynamics and data availability for operational Earth observation (EO) applications using the EO-CompassMartin Sudmanns, Dirk Tiede, Hannah Augustin, et al.
International Journal of Digital Earth|September 17, 2020
Big Earth data: disruptive changes in Earth observation data management and analysis?Martin Sudmanns, Dirk Tiede, Stefan Lang, et al.
Cogent Geoscience|July 24, 2018
GEO-CEOS stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for ESA Earth observation level 2 product generation - Part 1: TheoryAndrea Baraldi, Michael Laurence Humber, Dirk Tiede, et al.
Cogent Geoscience|July 24, 2018
GEO-CEOS stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for ESA Earth observation level 2 product generation - Part 2: ValidationAndrea Baraldi, Michael Laurence Humber, Dirk Tiede, et al.
Transactions in GIS : TG|July 5, 2021
Mask R-CNN-based building extraction from VHR satellite data in operational humanitarian action: An example related to Covid-19 response in Khartoum, SudanDirk Tiede, Gina Schwendemann, Ahmad Alobaidi, et al.
Cartography and Geographic Information Science|March 29, 2016
A new geospatial overlay method for the analysis and visualization of spatial change patterns using object-oriented data modeling conceptsDirk Tiede
Scientific Data|December 24, 2022
CloudSEN12, a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2Cesar Aybar, Luis Ysuhuaylas, Jhomira Loja, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 12, 2006
A multiscale expectation-maximization semisupervised classifier suitable for badly posed image classificationAndrea Baraldi, Lorenzo Bruzzone, Palma Blonda
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