Eya CherifLeipzig University · Faculty of Physics and Earth Sciences
Eya Cherif
Master of Science in Computer Science
PhD student at Leipzig University
(ScaDS.AI & RSC4Earth)
About
2
Publications
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Introduction
Research interest: Deep learning, Remote sensing, Spectroscopy, Functional plant traits
Skills and Expertise
Publications
Publications (2)
Large-scale information on several vegetation properties ('plant traits') is critical to assess ecosystem functioning, functional diversity and their role in the Earth system. Hyperspectral remote sensing of plant canopies offers a key tool to map multiple plant traits. However, we are still lacking generalized methods to translate hyper-spectral r...
Land use and land cover (LULC) mapping is a powerful tool for monitoring large areas. For the Amazon rainforest, automated mapping is of critical importance, as land cover is changing rapidly due to forest degradation and deforestation. Several research groups have addressed this challenge by conducting local surveys and producing maps using freely...
