Adugna Mullissa

Engineering · Physical Sciences

14h-index1.3kcitations30works5.12yr avg
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Research Topics

Synthetic Aperture Radar (SAR) Applications and Techniques(16), Advanced SAR Imaging Techniques(10), Remote Sensing in Agriculture(9), Remote Sensing and LiDAR Applications(7), Soil Moisture and Remote Sensing(4)

Publications30 total

L AND C-BAND SAR BASED ANALYSIS of FOREST CHANGE DYNAMICS IN THE CONGO BASIN
2026Open Access
Wall‐to‐wall Amazon forest height mapping with Planet <scp>NICFI</scp> , Aerial <scp>LiDAR</scp> , and a U‐Net regression model
Remote Sensing in Ecology and Conservation·2025· 1 citedOpen Access
High Resolution Tree Height Mapping of the Amazon Forest using Planet NICFI Images and LiDAR-Informed U-Net Model
arXiv (Cornell University)·2025Open Access
Sentinel-1 SAR Based Weakly Supervised Learning For Tropical Forest Mapping
arXiv (Cornell University)·2024Open Access
Sentinel-1 SAR Based Weakly Supervised Learning for Tropical Forest Mapping
2024
LUCA: A Sentinel-1 SAR-Based Global Forest Land Use Change Alert
Remote Sensing·2024· 14 citedOpen Access
Beyond assimilation of leaf area index: Leveraging additional spectral information using machine learning for site-specific soybean yield prediction
Agricultural and Forest Meteorology·2024· 10 citedOpen Access
The Amazon’s 2023 Drought: Sentinel-1 Reveals Extreme Rio Negro River Contraction
Remote Sensing·2024· 12 citedOpen Access
Critical Assessment of Cocoa Classification with Limited Reference Data: A Study in Côte d’Ivoire and Ghana Using Sentinel-2 and Random Forest Model
Remote Sensing·2024· 13 citedOpen Access
Amazon's 2023 Drought: Sentinel-1 Reveals Extreme Rio Negro River Contraction
arXiv (Cornell University)·2024· 1 citedOpen Access
Deep learning and automatic reference label harvesting for Sentinel-1 SAR-based rapid tropical dry forest disturbance mapping
Remote Sensing of Environment·2023· 23 citedOpen Access
Seasonal Forest Disturbance Detection Using Sentinel-1 SAR &amp; Sentinel-2 Optical Timeseries Data and Transformers
2023· 1 citedOpen Access
Monitoring direct drivers of small-scale tropical forest disturbance in near real-time with Sentinel-1 and -2 data
Remote Sensing of Environment·2023· 59 citedOpen Access
Beyond Assimilation of Leaf Area Index: Leveraging Additional Spectral Information Using Machine Learning for Site-Specific Soybean Yield Prediction
SSRN Electronic Journal·2023Open Access
Intra-annual relationship between precipitation and forest disturbance in the African rainforest
Environmental Research Letters·2022· 14 citedOpen Access
Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series
Remote Sensing of Environment·2021· 114 citedOpen Access
Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine
Remote Sensing·2021· 338 citedOpen Access
Despeckling Polarimetric SAR Data Using a Multistream Complex-Valued Fully Convolutional Network
IEEE Geoscience and Remote Sensing Letters·2021Open Access
Despeckling Polarimetric SAR Data Using a Multi-Stream Complex-Valued Fully Convolutional Network
arXiv (Cornell University)·2021· 29 citedOpen Access
Forest disturbance alerts for the Congo Basin using Sentinel-1
Environmental Research Letters·2021· 179 citedOpen Access
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Frequent Co-authors

Johannes Reiche(12), Martin Herold(7), Sassan Saatchi(7), Ricardo Dalagnol(5), Bart Slagter(4), Diego Marcos(4), Claudio Persello(4), Alfred Stein(4), Valentyn Tolpekin(4), Fabien Wagner(4), Samuel Favrichon(4), Mayumi C. M. Hirye(4), Andreas Vollrath(3), Yaqing Gou(3), Stephen Hagen(3), Christelle Odongo-Braun(2), Johannes Balling(2), Noel Gorelick(2), Veronique De Sy(2), Daniele Perissin(2)