Alexander Brenning

Orcid: 0000-0001-6640-679X

According to our database1, Alexander Brenning authored at least 29 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
A Transformer Approach for Multi Orbit Per Pixel Time Series Forest Characterization With Sentinel-1.
Proceedings of the IGARSS 2024, 2024

Novel Approaches to Model Assessment and Interpretation in Geospatial Machine Learning.
Proceedings of the 10th International Conference on Geographical Information Systems Theory, 2024

2023
Unsupervised active-transfer learning for automated landslide mapping.
Comput. Geosci., December, 2023

Interpreting machine-learning models in transformed feature space with an application to remote-sensing classification.
Mach. Learn., September, 2023

Spatial machine-learning model diagnostics: a model-agnostic distance-based approach.
Int. J. Geogr. Inf. Sci., March, 2023

Accounting for Deciduous Forest Structure and Viewing Geometry Effects Improves Sentinel-1 Time Series Image Consistency.
IEEE Trans. Geosci. Remote. Sens., 2023

Web scraping: a promising tool for geographic data acquisition.
CoRR, 2023

2021
Active-Learning Approaches for Landslide Mapping Using Support Vector Machines.
Remote. Sens., 2021

Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine-Learning Techniques?
Remote. Sens., 2021

Mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R.
CoRR, 2021

Transforming Feature Space to Interpret Machine Learning Models.
CoRR, 2021

2020
Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?
Dataset, January, 2020

2019




Geographic Object-Based Image Analysis for Automated Landslide Detection Using Open Source GIS Software.
ISPRS Int. J. Geo Inf., 2019

2018
Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data.
CoRR, 2018

2017
RQGIS: Integrating R with QGIS for Statistical Geocomputing.
R J., 2017

On the Effect of Spatially Non-Disjoint Training and Test Samples on Estimated Model Generalization Capabilities in Supervised Classification With Spatial Features.
IEEE Geosci. Remote. Sens. Lett., 2017

2016
Do Red Edge and Texture Attributes from High-Resolution Satellite Data Improve Wood Volume Estimation in a Semi-Arid Mountainous Region?
Remote. Sens., 2016

2015
Potential of Space-Borne Hyperspectral Data for Biomass Quantification in an Arid Environment: Advantages and Limitations.
Remote. Sens., 2015

A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management.
Int. J. Geogr. Inf. Sci., 2015

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling.
Comput. Geosci., 2015

2013
Remote Sensing of Soil Moisture in Vineyards Using Airborne and Ground-Based Thermal Inertia Data.
Remote. Sens., 2013

2012
Spatial cross-validation and bootstrap for the assessment of prediction rules in remote sensing: The R package sperrorest.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Ensemble classification of paired data.
Comput. Stat. Data Anal., 2011

2010
Data Mining in Precision Agriculture: Management of Spatial Information.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

Spatial Variable Importance Assessment for Yield Prediction in Precision Agriculture.
Proceedings of the Advances in Intelligent Data Analysis IX, 9th International Symposium, 2010


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