Alexander Brenning
Orcid: 0000-0001-6640-679X
According to our database1,
Alexander Brenning
authored at least 22 papers
between 2010 and 2023.
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Bibliography
2023
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
2021
Remote. Sens., 2021
Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine-Learning Techniques?
Remote. Sens., 2021
CoRR, 2021
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
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
2010
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