Alexander Brenning mainly focuses on Statistics, Rock glacier, Generalized additive model, Support vector machine and Permafrost. The various areas that Alexander Brenning examines in his Rock glacier study include Hydrology and Digital elevation model. Alexander Brenning combines subjects such as Landslide and Random forest with his study of Generalized additive model.
His Support vector machine study integrates concerns from other disciplines, such as Resampling, Spatial analysis and Feature selection. Alexander Brenning has included themes like Bedrock, Debris, Physical geography and Statistical model in his Permafrost study. His work carried out in the field of Artificial intelligence brings together such families of science as Data mining and Receiver operating characteristic.
Alexander Brenning mainly investigates Rock glacier, Permafrost, Geomorphology, Landslide and Physical geography. The study incorporates disciplines such as Hydrology, Terrain, Snow and Digital elevation model in addition to Rock glacier. His Permafrost research includes elements of Climatology, Climate change, Statistical model, Bedrock and Spatial distribution.
The concepts of his Landslide study are interwoven with issues in Statistics, Generalized additive model, Receiver operating characteristic and Land use. His Statistics study combines topics in areas such as Random forest and Support vector machine. The Random forest study combines topics in areas such as Arid, Lasso and Satellite imagery.
Alexander Brenning mostly deals with Landslide, Physical geography, Climate change, Climatology and Structural basin. His study in the fields of Landslide susceptibility under the domain of Landslide overlaps with other disciplines such as Commercial software. Alexander Brenning has researched Climate change in several fields, including Spatial distribution, Streamflow and Precipitation.
His Snow research includes themes of Permafrost, Remote sensing and Scale. His Scale research integrates issues from Rock glacier and Data mining. His Data mining research includes themes of Terrain and Support vector machine.
His primary scientific interests are in Structural basin, Physical geography, Remote sensing, Structure from motion and Landslide. Alexander Brenning interconnects Thunderstorm, Land cover, Land use, Generalized additive model and Environmental change in the investigation of issues within Structural basin. His Physical geography research focuses on subjects like Hydropower, which are linked to Climate change, Precipitation, Flood myth and Streamflow.
When carried out as part of a general Remote sensing research project, his work on Photogrammetry is frequently linked to work in High spatial resolution, therefore connecting diverse disciplines of study. He works mostly in the field of Landslide, limiting it down to topics relating to Lidar and, in certain cases, Terrain and Support vector machine. The various areas that he examines in his Support vector machine study include Hyperparameter, Random forest and Scale.
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Spatial prediction models for landslide hazards: review, comparison and evaluation
Natural Hazards and Earth System Sciences (2005)
Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling
J. N. Goetz;J. N. Goetz;J. N. Goetz;Alexander Brenning;Alexander Brenning;Helene Petschko;Philip Leopold.
Computers & Geosciences (2015)
A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management
João Porto de Albuquerque;Benjamin Herfort;Alexander Brenning;Alexander Zipf.
International Journal of Geographical Information Science (2015)
Hydrological and geomorphological significance of rock glaciers in the dry Andes, Chile (27°-33°S).
Gerardo Azócar;Gerardo Azócar;A. Brenning.
Permafrost and Periglacial Processes (2010)
Integrating physical and empirical landslide susceptibility models using generalized additive models
Jason N. Goetz;Richard H. Guthrie;Alexander Brenning.
Permafrost distribution in the European Alps: calculation and evaluation of an index map and summary statistics
Lorenz Boeckli;A Brenning;Stephan Gruber;Jeannette Noetzli.
The Cryosphere (2012)
Assessing the quality of landslide susceptibility maps – case study Lower Austria
H. Petschko;A. Brenning;R. Bell;J. Goetz;J. Goetz.
Natural Hazards and Earth System Sciences (2014)
Geomorphological, hydrological and climatic significance of rock glaciers in the Andes of Central Chile (33–35°S)
Permafrost and Periglacial Processes (2005)
Spatial cross-validation and bootstrap for the assessment of prediction rules in remote sensing: The R package sperrorest
international geoscience and remote sensing symposium (2012)
Benchmarking classifiers to optimally integrate terrain analysis and multispectral remote sensing in automatic rock glacier detection
Remote Sensing of Environment (2009)
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