Naam
Naamdr. AG Mullissa
RoepnaamAdugna
Emailadugna.mullissa@wur.nl

Werk
OmschrijvingOnderzoeker
OrganisatieDepartement Omgevingswetenschappen
OrganisatieeenheidLaboratorium voor Geo-informatiekunde en Remote Sensing
Reguliere werkdagen
Ma Di Wo Do Vr
Ochtend
Middag
Nevenwerkzaamheden
  • No ancillary activities - No ancillary activities
    aug 2019 - Nu


Biografie

Adugna is a researcher in 'Radar and Deep Learning Methods for near-real time forest change monitoring' at the Laboratory of Geo-information Science and Remote Sensing, Wageningen University (2019-Present). He obtained his PhD (2017) in radar remote sensing from the University of Twente, Enschede, The Netherlands.

Before Joining Wageningen University he was a visiting scientist at Lyle School of Civil Engineering, Purdue University, United States (2016-2017). He was also a researcher at the University of Twente investigating deep learning methodologies for crop classification using polarimetric SAR data (2018-2019).

His research interest is on using microwave remote sensing and machine learning to improve accuracy and efficiency in environmental monitoring with a particular focus on SAR, PolSAR and InSAR signal processing and information extraction using deep neural networks. His list of publications can be found in Google Scholar and ResearchGate

 


Expertiseprofiel
Expertise
Sociale media
  Adugna Mullissa op Linkedin
  Adugna Mullissa op Twitter

Publicaties
Kernpublicaties
Onderzoeker ID's

Projecten

RADD: Radar Alerts for Detecting Deforestation. Operational Sentinel-1 based radar deforestation alerts for Indonesia and Malaysia, including a land-scape initiative with the ten major oil palm producers (WRI-Global Forest Watch project, 2019 - 2021)


Onderwijs

Ph.D. in radar remote sensing from the University of Twente, the Netherlands

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