Scattering property based contextual PolSAR speckle filter. - Adugna G. Mullissa; Valentyn A. Tolpekin; Alfred Stein (Int. J. Appl. Earth Obs. Geoinformation, 2017)

Polarimetric differential SAR interferometry in an arid natural environment. - Adugna G. Mullissa; Valentyn A. Tolpekin; Alfred Stein; Daniele Perissin (Int. J. Appl. Earth Obs. Geoinformation, 2017)

Fully Convolutional Networks for Multi-Temporal SAR Image Classification. - Adugna G. Mullissa; Claudio Persello; Valentyn A. Tolpekin (IGARSS, 2018)

Polarimetry-Based Distributed Scatterer Processing Method for PSI Applications. - Adugna G. Mullissa; Daniele Perissin; Valentyn A. Tolpekin; Alfred Stein (IEEE Trans. Geosci. Remote. Sens., 2018)

PolSARNet: A Deep Fully Convolutional Network for Polarimetric SAR Image Classification. - Adugna G. Mullissa; Claudio Persello; Alfred Stein (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Dual Polarimetric SAR Covariance Matrix Estimation Using Deep Learning. - Adugna G. Mullissa; Diego Marcos; Martin Herold 001; Johannes Reiche (IGARSS, 2020)

Angular-Based Radiometric Slope Correction for Sentinel-1 on Google Earth Engine. - Andreas Vollrath; Adugna G. Mullissa; Johannes Reiche (Remote. Sens., 2020)

Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine. - Adugna G. Mullissa; Andreas Vollrath; Christelle Odongo-Braun; Bart Slagter; Johannes Balling; Yaqing Gou; Noel Gorelick; Johannes Reiche (Remote. Sens., 2021)

Despeckling Polarimetric SAR Data Using a Multistream Complex-Valued Fully Convolutional Network. - Adugna G. Mullissa; Claudio Persello; Johannes Reiche (IEEE Geosci. Remote. Sens. Lett., 2022)

deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling. - Adugna G. Mullissa; Diego Marcos; Devis Tuia; Martin Herold 001; Johannes Reiche (IEEE Trans. Geosci. Remote. Sens., 2022)

Seasonal Forest Disturbance Detection Using Sentinel-1 SAR & Sentinel-2 Optical Timeseries Data and Transformers. - Adugna G. Mullissa; Johannes Reiche; Sassan Saatchi (IGARSS, 2023)

Sentinel-1 SAR Based Weakly Supervised Learning for Tropical Forest Mapping. - Adugna G. Mullissa; Sassan Saatchi (IGARSS, 2024)

Critical Assessment of Cocoa Classification with Limited Reference Data: A Study in Côte d'Ivoire and Ghana Using Sentinel-2 and Random Forest Model. - Nikoletta Moraiti; Adugna G. Mullissa; Eric Rahn; Marieke Sassen; Johannes Reiche (Remote. Sens., 2024)

The Amazon's 2023 Drought: Sentinel-1 Reveals Extreme Rio Negro River Contraction. - Fabien Hubert Wagner; Samuel Favrichon; Ricardo Dalagnol; Mayumi C. M. Hirye; Adugna G. Mullissa; Sassan Saatchi (Remote. Sens., 2024)

LUCA: A Sentinel-1 SAR-Based Global Forest Land Use Change Alert. - Adugna G. Mullissa; Sassan Saatchi; Ricardo Dalagnol; Tyler Erickson; Naomi Provost; Fiona Osborn; Aleena Ashary; Violet Moon; Daniel Melling (Remote. Sens., 2024)

High Resolution Tree Height Mapping of the Amazon Forest using Planet NICFI Images and LiDAR-Informed U-Net Model. - Fabien Hubert Wagner; Ricardo Dalagnol; Griffin Carter; Mayumi C. M. Hirye; Shivraj Gill; Le Bienfaiteur T. Sagang; Samuel Favrichon; Michael Keller; Jean P. H. B. Ometto; Lorena Alves; Cynthia Creze; Stephanie P. George-Chacón; et al. (CoRR, 2025)