Patrick Hostert
Orcid: 0000-0002-5730-5484
According to our database1,
Patrick Hostert
authored at least 51 papers
between 2008 and 2024.
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Bibliography
2024
Mapping savannah woody vegetation at the species level with multispecral drone and hyperspectral EnMAP data.
CoRR, 2024
Mapping Savannah Woody Vegetation at the Species Level with Multispectral Drone and Hyperspectral EnMAP Data.
Proceedings of the IGARSS 2024, 2024
2023
2022
Revisiting the Past: Replicability of a Historic Long-Term Vegetation Dynamics Assessment in the Era of Big Data Analytics.
Remote. Sens., 2022
2021
Remote. Sens., 2021
Operational Coregistration of the Sentinel-2A/B Image Archive Using Multitemporal Landsat Spectral Averages.
IEEE Geosci. Remote. Sens. Lett., 2021
Combining simulated hyperspectral EnMAP and Landsat time series for forest aboveground biomass mapping.
Int. J. Appl. Earth Obs. Geoinformation, 2021
FORCE on Nextflow: Scalable Analysis of Earth Observation Data on Commodity Clusters.
Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021
2020
Visualizing and labeling dense multi-sensor earth observation time series: The EO Time Series Viewer.
Environ. Model. Softw., 2020
Characterizing spring phenology of temperate broadleaf forests using Landsat and Sentinel-2 time series.
Int. J. Appl. Earth Obs. Geoinformation, 2020
Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Mapping Cropping Practices on a National Scale Using Intra-Annual Landsat Time Series Binning.
Remote. Sens., 2019
A Global MODIS Water Vapor Database for the Operational Atmospheric Correction of Historic and Recent Landsat Imagery.
Remote. Sens., 2019
Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series.
Int. J. Appl. Earth Obs. Geoinformation, 2019
Comparing Phenometrics Extracted From Dense Landsat-Like Image Time Series for Crop Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the Workshops of the EDBT/ICDT 2018 Joint Conference (EDBT/ICDT 2018), 2018
2017
Ensemble Learning From Synthetically Mixed Training Data for Quantifying Urban Land Cover With Support Vector Regression.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
AROSICS: An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data.
Remote. Sens., 2017
Int. J. Appl. Earth Obs. Geoinformation, 2017
2016
A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring.
Remote. Sens., 2016
Mapping Clearances in Tropical Dry Forests Using Breakpoints, Trend, and Seasonal Components from MODIS Time Series: Does Forest Type Matter?
Remote. Sens., 2016
Int. J. Appl. Earth Obs. Geoinformation, 2016
Long-term deforestation dynamics in the Brazilian Amazon - Uncovering historic frontier development along the Cuiabá-Santarém highway.
Int. J. Appl. Earth Obs. Geoinformation, 2016
2015
Using Class Probabilities to Map Gradual Transitions in Shrub Vegetation from Simulated EnMAP Data.
Remote. Sens., 2015
The EnMAP-Box - A Toolbox and Application Programming Interface for EnMAP Data Processing.
Remote. Sens., 2015
Remote. Sens., 2015
Remote. Sens., 2015
Analyzing Hyperspectral and Hypertemporal Data by Decoupling Feature Redundancy and Feature Relevance.
IEEE Geosci. Remote. Sens. Lett., 2015
Land use intensity trajectories on Amazonian pastures derived from Landsat time series.
Int. J. Appl. Earth Obs. Geoinformation, 2015
2014
Simulation of Multitemporal and Hyperspectral Vegetation Canopy Bidirectional Reflectance Using Detailed Virtual 3-D Canopy Models.
IEEE Trans. Geosci. Remote. Sens., 2014
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Estimating Fractional Shrub Cover Using Simulated EnMAP Data: A Comparison of Three Machine Learning Regression Techniques.
Remote. Sens., 2014
Remote. Sens., 2014
IEEE Geosci. Remote. Sens. Lett., 2014
2013
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013
Mapping Rubber Plantations and Natural Forests in Xishuangbanna (Southwest China) Using Multi-Spectral Phenological Metrics from MODIS Time Series.
Remote. Sens., 2013
2012
How Normalized Difference Vegetation Index (NDVI) Trendsfrom Advanced Very High Resolution Radiometer (AVHRR) and Système Probatoire d'Observation de la Terre VEGETATION (SPOT VGT) Time Series Differ in Agricultural Areas: An Inner Mongolian Case Study.
Remote. Sens., 2012
imageRF - A user-oriented implementation for remote sensing image analysis with Random Forests.
Environ. Model. Softw., 2012
Uncovering land-use dynamics driven by human decision-making - A combined model approach using cellular automata and system dynamics.
Environ. Model. Softw., 2012
Using MODIS time series and random forests classification for mapping land use in South-East Asia.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Evaluating the Remote Sensing and Inventory-Based Estimation of Biomass in the Western Carpathians.
Remote. Sens., 2011
2010
Sensitivity of Support Vector Machines to Random Feature Selection in Classification of Hyperspectral Data.
IEEE Trans. Geosci. Remote. Sens., 2010
Simplifying Support Vector Machines for classification of hyperspectral imagery and selection of relevant features.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010
2009
Impact of different morphological profiles on the classification accuracy of urban hyperspectral data.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009
Simplifying Support Vector Machines for Regression analysis of hyperspectral imagery.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009
2008
A method to detect and correct single-band missing pixels in Landsat TM and ETM+ data.
Comput. Geosci., 2008
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008