Tobias Gränzig
Orcid: 0000-0002-4725-1873Affiliations:
- TU Berlin, Geoinformation in Environmental Planning Lab, Germany
According to our database1,
Tobias Gränzig
authored at least 13 papers
between 2012 and 2023.
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Bibliography
2023
Evaluating sampling bias correction methods for invasive species distribution modeling in Maxent.
Ecol. Informatics, September, 2023
2022
Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Exploring the Temporal Fingerprints of Mid-European Forest Types from Sentinel-1 RVI and Sentinel-2 NDVI Time Series.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Mapping the fractional coverage of the invasive shrub Ulex europaeus with multi-temporal Sentinel-2 imagery utilizing UAV orthoimages and a new spatial optimization approach.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
Challenges in UAS-Based TIR Imagery Processing: Image Alignment and Uncertainty Quantification.
Remote. Sens., 2020
2018
Application of a One-Class Classifier and a Linear Spectral Unmixing Method for Detecting Invasive Species in Central Chile.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Detecting the spread of invasive species in central Chile with a Sentinel-2 time-series.
Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017
2015
Grassland habitat mapping by intra-annual time series analysis - Comparison of RapidEye and TerraSAR-X satellite data.
Int. J. Appl. Earth Obs. Geoinformation, 2015
Proceedings of the 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2015
Evaluating the temporal stability of synthetically generated time-series for crop types in Central Germany.
Proceedings of the 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2015
2014
Evaluating an Intra-Annual Time Series for Grassland Classification - How Many Acquisitions and What Seasonal Origin Are Optimal?
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2012
Multi-temporal detection of grassland vegetation with RapidEye imagery and a spectral-temporal library.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012