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Computer Science
Austria
2026
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Environmental Sciences
Austria
2026

D-Index & Metrics

Computer Science

D-Index
83
Citations
32276
World Ranking
893
National Ranking
7

Environmental Sciences

D-Index
88
Citations
33354
World Ranking
639
National Ranking
6

Research.com Recognitions

  • 2026 - Research.com Computer Science in Austria Leader Award
  • 2026 - Research.com Environmental Sciences in Austria Leader Award
  • 2025 - Research.com Computer Science in Austria Leader Award
  • 2025 - Research.com Environmental Sciences in Austria Leader Award
  • 2022 - Research.com Computer Science in Austria Leader Award

Overview

Thomas Blaschke is affiliated with the University of Salzburg in Austria. Their research primarily focuses on environmental science, with a significant body of work addressing global and planetary change, environmental engineering, and policy-related aspects of environmental management. The main fields of study include:

  • Environmental Science

Within this broad field, subfields of particular focus include:

  • Global and Planetary Change
  • Environmental Engineering
  • Management, Monitoring, Policy and Law
  • Ecology
  • Atmospheric Science

The main topics covered by Thomas Blaschke's research span several areas related to environmental risk and land management, including:

  • Flood Risk Assessment and Management
  • Landslides and related hazards
  • Land Use and Ecosystem Services
  • Remote Sensing in Agriculture
  • Groundwater and Watershed Analysis
  • Fire effects on ecosystems
  • Remote-Sensing Image Classification

Their recent publications include studies on machine learning applications for environmental risk mapping and analysis. Selected papers include:

  • Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory, 2020, Journal of Hydrology
  • Assessing and mapping multi-hazard risk susceptibility using a machine learning technique, 2020, Scientific Reports
  • Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran, 2020, Remote Sensing
  • Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine, 2021, Journal of Environmental Planning and Management
  • Landslide detection using deep learning and object-based image analysis, 2022, Landslides

The primary publication venues where Thomas Blaschke's work appears frequently include:

  • Remote Sensing
  • The Science of The Total Environment
  • Sensors
  • ISPRS International Journal of Geo-Information
  • Scientific Reports

Thomas Blaschke collaborates regularly with several researchers. Frequent coauthors are:

  • Omid Ghorbanzadeh
  • Bakhtiar Feizizadeh
  • Tobia Lakes
  • Alireza Arabameri
  • Davoud Omarzadeh

Best Publications

  • Object based image analysis for remote sensing

    T. Blaschke

  • Geographic Object-Based Image Analysis - Towards a new paradigm.

    Thomas Blaschke;Geoffrey J. Hay;Maggi Kelly;Stefan Lang

  • The rise of deep learning in drug discovery.

    Hongming Chen;Ola Engkvist;Yinhai Wang;Marcus Olivecrona

  • What’s wrong with pixels? Some recent developments interfacing remote sensing and GIS

    Thomas Blaschke;Josef Strobl

  • Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms

    John Richard Otukei;John Richard Otukei;Thomas Blaschke

  • A multi-scale segmentation/object relationship modelling methodology for landscape analysis

    C Burnett;Thomas Blaschke

  • Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

    Omid Ghorbanzadeh;Thomas Blaschke;Khalil Gholamnia;Sansar Raj Meena

  • Automated classification of landform elements using object-based image analysis

    Lucian Drăguţ;Thomas Blaschke

  • Object-oriented Image Processing in an Integrated GIS/Remote Sensing Environment and Perspectives for Environmental Applications

    Thomas Blaschke;Stefan Lang;Eric Lorup;Josef Strobl

  • A comparison of three image-object methods for the multiscale analysis of landscape structure

    Geoffrey J. Hay;Thomas Blaschke;Danielle J. Marceau;André Bouchard

  • Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications

    Thomas Blaschke;Stefan Lang;Geoffrey J. Hay

  • Application of Generative Autoencoder in De Novo Molecular Design.

    Thomas Blaschke;Marcus Olivecrona;Ola Engkvist;Jürgen Bajorath

  • Land suitability analysis for Tabriz County, Iran: a multi-criteria evaluation approach using GIS

    Bakhtiar Feizizadeh;Thomas Blaschke

  • A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping

    Bakhtiar Feizizadeh;Majid Shadman Roodposhti;Piotr Jankowski;Thomas Blaschke

  • Understanding and quantifying landscape structure – A review on relevant process characteristics, data models and landscape metrics

    Angela Lausch;Thomas Blaschke;Dagmar Haase;Felix Herzog

  • GIS-multicriteria decision analysis for landslide susceptibility mapping: comparing three methods for the Urmia lake basin, Iran

    Bakhtiar Feizizadeh;Bakhtiar Feizizadeh;Thomas Blaschke

  • Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory

    Thimmaiah Gudiyangada Nachappa;Sepideh Tavakkoli Piralilou;Khalil Gholamnia;Omid Ghorbanzadeh

  • A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis

    Bakhtiar Feizizadeh;Piotr Jankowski;Thomas Blaschke

  • Object-Based Image Analysis

    Thomas Blaschke;Stefan Lang;Geoffrey J. Hay

  • The role of the spatial dimension within the framework of sustainable landscapes and natural capital

    Thomas Blaschke

Frequent Co-Authors

Dirk Tiede
Dirk Tiede University of Salzburg
Omid Ghorbanzadeh
Omid Ghorbanzadeh University of Salzburg
Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway
Geoffrey J. Hay
Geoffrey J. Hay University of Calgary
Hamid Reza Pourghasemi
Hamid Reza Pourghasemi Shiraz University
Hannes Taubenböck
Hannes Taubenböck German Aerospace Center
Salman Qureshi
Salman Qureshi Humboldt-Universität zu Berlin
Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Jian Peng
Jian Peng Peking University
Kasper Johansen
Kasper Johansen King Abdullah University of Science and Technology

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