Research output per year
Research output per year
Fingerprint
Dive into the research topics where Adugna Mullissa is active. These topic labels come from the works of this person. Together they form a unique fingerprint. If staff member(s) published prior to his/her WUR affiliation, it is possible that the publication overview, Fingerprint and network diagram are incomplete.
- 1 Similar Researchers
Network
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Despeckling Polarimetric SAR Data Using a Multistream Complex-Valued Fully Convolutional Network
Mullissa, A. G., Persello, C. & Reiche, J., 2022, In: IEEE Geoscience and Remote Sensing Letters. 19, p. 1-5Research output: Contribution to journal › Article › Academic › peer-review
1 Citation (Scopus) -
Forest disturbance alerts for the Congo Basin using Sentinel-1
Reiche, J., Mullissa, A., Slagter, B., Gou, Y., Tsendbazar, N-E., Odongo-Braun, C., Vollrath, A., Weisse, M. J., Stolle, F., Pickens, A., Donchyts, G., Clinton, N., Gorelick, N. & Herold, M., Feb 2021, In: Environmental Research Letters. 16, 2, 024005.Research output: Contribution to journal › Article › Academic › peer-review
Open Access14 Citations (Scopus) -
Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine
Mullissa, A., Vollrath, A., Odongo-braun, C., Slagter, B., Balling, J., Gou, Y., Gorelick, N. & Reiche, J., 2021, In: Remote Sensing. 13, 10, 1954.Research output: Contribution to journal › Article › Academic › peer-review
Open Access4 Citations (Scopus) -
Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series
Masolele, R. N., De Sy, V., Herold, M., Marcos, D., Verbesselt, J., Gieseke, F., Mullissa, A. G. & Martius, C., 1 Oct 2021, In: Remote Sensing of Environment. 264, 112600.Research output: Contribution to journal › Article › Academic › peer-review
Open Access2 Citations (Scopus) -
Angular-Based Radiometric Slope Correction for Sentinel-1 on Google Earth Engine
Vollrath, A., Mullissa, A. & Reiche, J., 9 Jun 2020, In: Remote Sensing. 12, 11, 14 p., 1867.Research output: Contribution to journal › Article › Academic › peer-review
Open Access20 Citations (Scopus)
Projects
- 1 Active
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Machine learning for forest monitoring.
Mullissa, A., Herold, M. & Reiche, J.
15/04/19 → 15/04/23
Project: PostDoc