Thomas Blaschke
researcher (ORCID 0000-0002-1860-8458)
Facts
11 properties- Instance of
- human
- Place of birth
- Laufen
- Occupation
- geographer, university teacher
- Field of work
- geography, geoinformatics[6][7]
- Educated at
- University of Salzburg[8]
- Member of
- Austrian Academy of Sciences[9]
🏷️ Also known as
en Thomas Blaschke
de Thomas Stephan Blaschke
🔖 Identifiers · 16
- ISNI
- 0000000123364091
- ORCID iD
- 0000-0002-1860-8458
- VIAF cluster ID
- 3257106
- Library of Congress authority ID
- n99001264
- GND ID
- 132714760
- OpenAlex ID
- A5056842687as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- Bibliothèque nationale de France ID
- 14421326k
- DDB person (GND) ID
- 132714760
- Google Scholar author ID
- kMroJzUAAAAJ
- IdRef ID
- 085800422
- NL CR AUT ID
- xx0230352
- NUKAT ID
- n98042104
Show all 16 identifiers +4
- National Library of Israel J9U ID
- 987007384278205171
- Scopus author ID
- 7005427503
- WorldCat Entities ID
- E39PCjKrcHkpqJkMHxfvyRDmFq
- Yale LUX ID
- person/dc81d1f3-cae3-445f-98bd-ebb2e5f51983
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 71
A building extraction approach for Airborne Laser Scanner data utilizing the Object Based Image Analysis paradigm,
A Comparative Assessment of Random Forest and k-Nearest Neighbor Classifiers for Gully Erosion Susceptibility Mapping,
A Comparison between Sentinel-2 and Landsat 8 OLI Satellite Images for Soil Salinity Distribution Mapping Using a Deep Learning Convolutional Neural Network,
A comparison of the integrated fuzzy object-based deep learning approach and three machine learning techniques for land use/cover change monitoring and environmental impacts assessment,
A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan),
Advances of Local Climate Zone Mapping and Its Practice Using Object-Based Image Analysis,
A Function-based model of Place,
A Generic Classification Scheme for Urban Structure Types
+63 more
← Authored by 71
A building extraction approach for Airborne Laser Scanner data utilizing the Object Based Image Analysis paradigm,
A Comparative Assessment of Random Forest and k-Nearest Neighbor Classifiers for Gully Erosion Susceptibility Mapping,
A Comparison between Sentinel-2 and Landsat 8 OLI Satellite Images for Soil Salinity Distribution Mapping Using a Deep Learning Convolutional Neural Network,
A comparison of the integrated fuzzy object-based deep learning approach and three machine learning techniques for land use/cover change monitoring and environmental impacts assessment,
A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan),
Advances of Local Climate Zone Mapping and Its Practice Using Object-Based Image Analysis,
A Function-based model of Place,
A Generic Classification Scheme for Urban Structure Types
+63 more
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Summary
Born in Laufen[1], he… he was born in 1965[2]. He worked as a geographer[3] and university teacher[4].
Body
Career and Affiliations
Fields of work include geography[6], an academic discipline[14] and geoinformatics[7], an academic discipline[15].
FAQs
Where was Thomas Blaschke born?
Born in Laufen[1].
What did Thomas Blaschke do for work?
Thomas Blaschke worked as geographer[3] and university teacher[4].
Where did Thomas Blaschke go to school?
Thomas Blaschke was educated at University of Salzburg[8].