Martin Sudmanns
Martin Sudmanns
PostDoc at the Department of Geoinformatics - Z_GIS, University of Salzburg
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Zitiert von
Zitiert von
Big Earth data: disruptive changes in Earth observation data management and analysis?
M Sudmanns, D Tiede, S Lang, H Bergstedt, G Trost, H Augustin, ...
International Journal of Digital Earth, 2020
Assessing global Sentinel-2 coverage dynamics and data availability for operational Earth observation (EO) applications using the EO-Compass
M Sudmanns, D Tiede, H Augustin, S Lang
International journal of digital earth 13 (7), 768-784, 2020
Urban Emotions–tools of integrating people’s perception into urban planning
P Zeile, B Resch, L Dörrzapf, JP Exner, G Sagl, A Summa, M Sudmanns
REAL CORP 2015. PLAN TOGETHER–RIGHT NOW–OVERALL. From vision to reality for …, 2015
Semantic and syntactic interoperability in online processing of big Earth observation data
M Sudmanns, D Tiede, S Lang, A Baraldi
International journal of digital earth 11 (1), 95-112, 2018
Crowdsourcing physiological conditions and subjective emotions by coupling technical and human mobile sensors
B Resch, M Sudmanns, G Sagl, A Summa, P Zeile, JP Exner
GI_Forum 1, 514-524, 2015
Semantic Earth observation data cubes
H Augustin, M Sudmanns, D Tiede, S Lang, A Baraldi
Data 4 (3), 102, 2019
Dwelling extraction in refugee camps using cnn–first experiences and lessons learnt
O Ghorbanzadeh, D Tiede, Z Dabiri, M Sudmanns, S Lang
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2018
Transferable instance segmentation of dwellings in a refugee camp-integrating CNN and OBIA
O Ghorbanzadeh, D Tiede, L Wendt, M Sudmanns, S Lang
European Journal of Remote Sensing 54 (sup1), 127-140, 2021
CloudSEN12, a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2
C Aybar, L Ysuhuaylas, J Loja, K Gonzales, F Herrera, L Bautista, R Yali, ...
Scientific data 9 (1), 782, 2022
Monitoring long-term shoreline dynamics and human activities in the Hangzhou Bay, China, combining daytime and nighttime EO data
L Chu, F Oloo, M Sudmanns, D Tiede, D Hölbling, T Blaschke, I Teleoaca
Big Earth Data 4 (3), 242-264, 2020
Architecture and prototypical implementation of a semantic querying system for big Earth observation image bases
D Tiede, A Baraldi, M Sudmanns, M Belgiu, S Lang
European Journal of Remote Sensing 50 (1), 452-463, 2017
Investigating ESA Sentinel-2 products' systematic cloud cover overestimation in very high altitude areas
D Tiede, M Sudmanns, H Augustin, A Baraldi
Remote Sensing of Environment 252, 112163, 2021
Think global, cube local: an Earth Observation Data Cube’s contribution to the Digital Earth vision
M Sudmanns, H Augustin, B Killough, G Giuliani, D Tiede, A Leith, F Yuan, ...
Big Earth Data 7 (3), 831-859, 2023
The Austrian semantic EO data cube infrastructure
M Sudmanns, H Augustin, L van der Meer, A Baraldi, D Tiede
Remote Sensing 13 (23), 4807, 2021
Big Earth Data: From Data to Information
M Sudmanns, S Lang, D Tiede
GI_Forum 2018 1, 184-193, 2018
A Semantic Earth Observation Data Cube for Monitoring Environmental Changes during the Syrian Conflict
H Augustin, M Sudmanns, D Tiede, A Baraldi
GI_Forum 2018, 1, 214-227, 2018
Semantic Earth Observation Data Cubes. Data 4, 102
H Augustin, M Sudmanns, D Tiede, S Lang, A Baraldi
Systematic ESA EO Level 2 product generation as pre-condition to semantic content-based image retrieval and information/knowledge discovery in EO image databases
A Baraldi, D Tiede, M Sudmanns, S Lang
Proceedings of the 2017 Conference on Big Data From Space, 17-20, 2017
Automated near real-time earth observation level 2 product generation for semantic querying
A Baraldi, D Tiede, M Sudmanns, M Belgiu, S Lang
6th International Conference on Geographic Object-Based Image Analysis …, 2016
Automatic Ex-post Flood Assessment Using Long Time Series of Optical Earth Observation Images
M Sudmanns, D Tiede, L Wendt, A Baraldi
Journal for Geographic Information Science 1 (1), 217 - 227, 2017
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