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Adugna Mullissa

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.IV1
ORCID 0000-0001-7711-8523

identity via Semantic Scholar / OpenAlex

most citedAmazon's 2023 Drought: Sentinel-1 Reveals Extreme Rio Negro River Contraction

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2025

High Resolution Tree Height Mapping of the Amazon Forest using Planet NICFI Images and LiDAR-Informed U-Net Model

Fabien H Wagner, Ricardo Dalagnol, Griffin Carter +19

Tree canopy height is one of the most important indicators of forest biomass, productivity, and ecosystem structure, but it is challenging to measure accurately from the ground and…

eess.IV2024

Sentinel-1 SAR Based Weakly Supervised Learning For Tropical Forest Mapping

Adugna Mullissa, Sassan Saatchi

Tropical forests play an important role in regulating the global carbon cycle and are crucial for maintaining the tropical forest biodiversity. Therefore, there is an urgent need t…

cs.CV2024★ 1 cited

Amazon's 2023 Drought: Sentinel-1 Reveals Extreme Rio Negro River Contraction

Fabien H Wagner, Samuel Favrichon, Ricardo Dalagnol +3

The Amazon, the world's largest rainforest, faces a severe historic drought. The Rio Negro River, one of the major Amazon River tributaries, reaches its lowest level in a century i…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.