What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Machine learning
His primary areas of study are Data mining, Artificial intelligence, Image segmentation, Remote sensing and Geographic information system.
His Artificial intelligence study combines topics in areas such as Machine learning, Computer vision and Pattern recognition.
His Image processing and Image resolution study in the realm of Computer vision interacts with subjects such as Object-oriented programming and National Agriculture Imagery Program.
His Image segmentation study incorporates themes from Contextual image classification and Change detection.
His Remote sensing research incorporates themes from Pixel, Aerosol and Moderate-resolution imaging spectroradiometer.
His research integrates issues of Landscape planning, Sustainable management, Geospatial analysis and Data science in his study of Geographic information system.
His most cited work include:
- Object based image analysis for remote sensing (2766 citations)
- Geographic Object-Based Image Analysis - Towards a new paradigm. (840 citations)
- A multi-scale segmentation/object relationship modelling methodology for landscape analysis (487 citations)
What are the main themes of his work throughout his whole career to date?
Remote sensing, Artificial intelligence, Geographic information system, Landslide and Cartography are his primary areas of study.
His Remote sensing research is multidisciplinary, incorporating elements of Object and Pixel.
His Artificial intelligence research includes elements of Machine learning, Computer vision and Pattern recognition.
His study in Image and Image processing is carried out as part of his Computer vision studies.
His Geographic information system research incorporates elements of Environmental resource management, Data mining, Geospatial analysis and Data science.
The various areas that Thomas Blaschke examines in his Data mining study include Robustness and Scale.
He most often published in these fields:
- Remote sensing (17.81%)
- Artificial intelligence (17.47%)
- Geographic information system (13.70%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (17.47%)
- Landslide (10.27%)
- Landslide susceptibility (3.77%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Landslide, Landslide susceptibility, Cartography and Geographic information system.
His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Normalized Difference Vegetation Index.
Thomas Blaschke interconnects Hazard, Ensemble forecasting and Remote sensing in the investigation of issues within Landslide.
The concepts of his Cartography study are interwoven with issues in Land cover, Land use and Natural hazard.
His Geographic information system research includes themes of Statistical model and Data science.
His biological study spans a wide range of topics, including Artificial neural network and Remote sensing.
Between 2018 and 2021, his most popular works were:
- Multi-hazard probability assessment and mapping in Iran. (44 citations)
- Assessing and mapping multi-hazard risk susceptibility using a machine learning technique. (37 citations)
- A novel ensemble approach for landslide susceptibility mapping (LSM) in Darjeeling and Kalimpong districts, West Bengal, India (32 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Machine learning
Thomas Blaschke mostly deals with Ensemble forecasting, Artificial intelligence, Random forest, Landslide susceptibility and Cartography.
His research in Artificial intelligence intersects with topics in Machine learning, City block and Information retrieval.
His Landslide susceptibility research integrates issues from Dempster–Shafer theory, Object based and River watershed.
Thomas Blaschke has researched Cartography in several fields, including Landslide, Land use, Natural hazard, Hazard and Flood myth.
Along with Volume, other disciplines of study including Data mining and Geographic information system are integrated into his research.
His Geographic information system study combines topics from a wide range of disciplines, such as Object and Earth observation.
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