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2020 – today
- 2023
[j10]Benjamin Purinton
, Ariane Mueting, Bodo Bookhagen:
Image Texture as Quality Indicator for Optical DEM Generation: Geomorphic Applications in the Arid Central Andes. Remote. Sens. 15(1): 85 (2023)- [j9]Dipro Sarkar, Rajiv Sinha, Bodo Bookhagen:
Towards a Guideline for UAV-Based Data Acquisition for Geomorphic Applications. Remote. Sens. 15(14): 3692 (2023) - [c2]Bashini K. Mahaarachchi, Sarel Cohen, Bodo Bookhagen, Vanja Doskoc, Tobias Friedrich:
Sustainable On-Street Parking Mapping with Deep Learning and Airborne Imagery. IDEAL 2023: 209-221 - 2022
- [j8]Farid Atmani, Bodo Bookhagen, Taylor Smith:
Measuring Vegetation Heights and Their Seasonal Changes in the Western Namibian Savanna Using Spaceborne Lidars. Remote. Sens. 14(12): 2928 (2022) - [j7]Nikolaos Antonoglou, Kyriakos Balidakis, Jens Wickert, Galina Dick, Alejandro de la Torre, Bodo Bookhagen:
Water-Vapour Monitoring from Ground-Based GNSS Observations in Northwestern Argentina. Remote. Sens. 14(21): 5427 (2022) - 2021
- [j6]Maryam Ramezani Ziarani, Bodo Bookhagen, Torsten Schmidt, Jens Wickert, Alejandro de la Torre, Zhiguo Deng, Andrea Calori:
A Model for the Relationship between Rainfall, GNSS-Derived Integrated Water Vapour, and CAPE in the Eastern Central Andes. Remote. Sens. 13(18): 3788 (2021) - 2020
- [j5]Robert Milewski, Sabine Chabrillat, Bodo Bookhagen:
Analyses of Namibian Seasonal Salt Pan Crust Dynamics and Climatic Drivers Using Landsat 8 Time-Series and Ground Data. Remote. Sens. 12(3): 474 (2020)
2010 – 2019
- 2019
- [j4]Frederic Brieger, Ulrike Herzschuh, Luidmila A. Pestryakova, Bodo Bookhagen, Evgenii S. Zakharov, Stefan Kruse:
Advances in the Derivation of Northeast Siberian Forest Metrics Using High-Resolution UAV-Based Photogrammetric Point Clouds. Remote. Sens. 11(12): 1447 (2019) - 2018
- [j3]Stephanie Olen, Bodo Bookhagen:
Mapping Damage-Affected Areas after Natural Hazard Events Using Sentinel-1 Coherence Time Series. Remote. Sens. 10(8): 1272 (2018) - 2017
- [j2]Maximilian Brell, Karl Segl, Luis Guanter, Bodo Bookhagen:
Hyperspectral and Lidar Intensity Data Fusion: A Framework for the Rigorous Correction of Illumination, Anisotropic Effects, and Cross Calibration. IEEE Trans. Geosci. Remote. Sens. 55(5): 2799-2810 (2017) - [c1]Fabian Maschler, Fabian Geier, Bodo Bookhagen, Emmanuel Müller:
Locality-Based Graph Clustering of Spatially Embedded Time Series. COMPLEX NETWORKS 2017: 719-730 - 2016
- [j1]Maximilian Brell, Christian Rogaß, Karl Segl, Bodo Bookhagen, Luis Guanter:
Improving Sensor Fusion: A Parametric Method for the Geometric Coalignment of Airborne Hyperspectral and Lidar Data. IEEE Trans. Geosci. Remote. Sens. 54(6): 3460-3474 (2016)
Coauthor Index
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