Get started
Author

Adugna Mullissa

Observed names: A.G. Mullissa, Adugna G. Mullissa
Institution: CTrees
ORCID: 0000-0001-7711-8523
Observed ORCID: 0000-0001-7711-8523
OpenAlex ID: A5022899478
Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine
2021 · Adugna Mullissa, Andreas Vollrath, et al. · Remote Sensing · 454
PDF
Angular-Based Radiometric Slope Correction for Sentinel-1 on Google Earth Engine
2020 · Andreas Vollrath, Adugna Mullissa, et al. · Remote Sensing · 239
PDF
Forest disturbance alerts for the Congo Basin using Sentinel-1
2021 · Johannes Reiche, Adugna Mullissa, et al. · Environmental Research Letters · 237
PDF
Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series
2021 · Robert N. Masolele, Veronique De Sy, et al. · Remote Sensing of Environment · 147
PDF
deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling
2020 · Adugna G. Mullissa, Diego Marcos, et al. · IEEE Transactions on Geoscience and Remote Sensing · 103
Monitoring direct drivers of small-scale tropical forest disturbance in near real-time with Sentinel-1 and -2 data
2023 · Bart Slagter, Johannes Reiche, et al. · Remote Sensing of Environment · 93
PolSARNet: A Deep Fully Convolutional Network for Polarimetric SAR Image Classification
2019 · Adugna G. Mullissa, Claudio Persello, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 68
Polarimetry-Based Distributed Scatterer Processing Method for PSI Applications
2018 · Adugna G. Mullissa, Daniele Perissin, et al. · IEEE Transactions on Geoscience and Remote Sensing · 37
Fully Convolutional Networks for Multi-Temporal SAR Image Classification
2018 · Adugna G. Mullissa, Claudio Persello, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 34
Despeckling Polarimetric SAR Data Using a Multistream Complex-Valued Fully Convolutional Network
2021 · Adugna G. Mullissa, Claudio Persello, et al. · IEEE Geoscience and Remote Sensing Letters · 33
Deep learning and automatic reference label harvesting for Sentinel-1 SAR-based rapid tropical dry forest disturbance mapping
2023 · Adugna Mullissa, Johannes Reiche, et al. · Remote Sensing of Environment · 32
LUCA: A Sentinel-1 SAR-Based Global Forest Land Use Change Alert
2024 · Adugna Mullissa, Sassan Saatchi, et al. · Remote Sensing · 29
Beyond assimilation of leaf area index: Leveraging additional spectral information using machine learning for site-specific soybean yield prediction
2024 · Deborah V. Gaso, Dilli Paudel, et al. · Agricultural and Forest Meteorology · 24
The Amazon’s 2023 Drought: Sentinel-1 Reveals Extreme Rio Negro River Contraction
2024 · Fabien H. Wagner, Samuel Favrichon, et al. · Remote Sensing · 23
PDF
Polarimetric differential SAR interferometry in an arid natural environment
2017 · Adugna G. Mullissa, Valentyn Tolpekin, et al. · International Journal of Applied Earth Observation and Geoinformation · 23
PDF
Critical Assessment of Cocoa Classification with Limited Reference Data: A Study in Côte d’Ivoire and Ghana Using Sentinel-2 and Random Forest Model
2024 · Nikoletta Moraiti, Adugna Mullissa, et al. · Remote Sensing · 22
PDF
Wall‐to‐wall Amazon forest height mapping with Planet NICFI , Aerial LiDAR , and a U‐Net regression model
2025 · Fabien H. Wagner, Ricardo Dalagnol, et al. · Remote Sensing in Ecology and Conservation · 19
Intra-annual relationship between precipitation and forest disturbance in the African rainforest
2022 · Yaqing Gou, Johannes Balling, et al. · Environmental Research Letters · 17
Scattering property based contextual PolSAR speckle filter
2017 · Adugna G. Mullissa, Valentyn Tolpekin, et al. · International Journal of Applied Earth Observation and Geoinformation · 16
PDF
Seasonal Forest Disturbance Detection Using Sentinel-1 SAR & Sentinel-2 Optical Timeseries Data and Transformers
2023 · Adugna Mullissa, Johannes Reiche, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 2
PDF
Sentinel-1 SAR Based Weakly Supervised Learning for Tropical Forest Mapping
2024 · Adugna Mullissa, Sassan Saatchi · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 1
PDF
Rapid Loss of the Sierra Nevada’s Largest Trees Driven by Fire
2026 · Fabien H. Wagner, Dan J. Dixon, et al. · Research Square
PDF
L AND C-BAND SAR BASED ANALYSIS of FOREST CHANGE DYNAMICS IN THE CONGO BASIN
2026 · Adugna Mullissa, Lebienfaiteur Sagang, et al.
PDF
Dual Polarimetric SAR Covariance Matrix Estimation Using Deep Learning
2020 · Adugna G. Mullissa, Diego Marcos, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
PDF
Quality aspects of distributed scatterers in polarimetric differential SAR interferometry
2017 · A.G. Mullissa
Works count: 27
Citation count: 1,653
H-index: 17
I10-index: 19
Year
Topic
Type