Negin Katal

Negin Katal
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Negin verified their affiliation via an institutional email.
Verified
Negin verified their affiliation via an institutional email.
  • Master of Science
  • PostDoc Position at University of Freiburg

About

6
Publications
7,287
Reads
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69
Citations
Current institution
University of Freiburg
Current position
  • PostDoc Position
Additional affiliations
April 2021 - December 2024
Max Planck Institute for Biogeochemistry
Position
  • PhD Student
April 2020 - March 2021
University of Bayreuth
Position
  • Research Associate
March 2015 - February 2016
University of Tehran
Position
  • Research Associate
Education
April 2021 - March 2024
Max Planck Institute for Biogeochemistry
Field of study
  • Plant Phenology & Deep Learning
May 2017 - September 2019
University of Bayreuth
Field of study
  • Geo-Ecology, landscape ecology
October 2011 - December 2015
University of Tehran
Field of study
  • Biology, Botanik

Publications

Publications (6)
Preprint
Full-text available
Leaf area index (LAI) is a key parameter for modeling ecosystem productivity, climate interactions, and hydrological processes, as well as monitoring vegetation health. While satellite-based estimates provide insights into large-scale vegetation dynamics, ground-based methods, including digital hemispherical photography (DHP), are essential to gene...
Article
Full-text available
Anthropogenic biodiversity decline threatens the functioning of ecosystems and the many benefits they provide to humanity¹. As well as causing species losses in directly affected locations, human influence might also reduce biodiversity in relatively unmodified vegetation if far-reaching anthropogenic effects trigger local extinctions and hinder re...
Presentation
Full-text available
Plant phenology investigates the timing of critical events in a plant's life cycle, encompassing budburst, flowering, fruiting, and senescence, with their significance rooted in their responsiveness to environmental conditions. Despite the growing interest in phenology, challenges persist in documenting these processes due to their extensive spatia...
Article
Full-text available
Plant phenology plays a vital role in assessing climate change. To monitor this, individual plants are traditionally visited and observed by trained volunteers organized in national or international networks - in Germany, for example, by the German Weather Service, DWD. However, their number of observers is continuously decreasing. In this study, w...
Article
Full-text available
Climate change represents one of the most critical threats to biodiversity with far-reaching consequences for species interactions, the functioning of ecosystems, or the assembly of biotic communities. Plant phenology research has gained increasing attention as the timing of periodic events in plants is strongly affected by seasonal and interannual...
Preprint
Full-text available
Abstract. Topography influences evolutionary and ecological processes by isolating populations and enhancing habitat diversity. While the effects of large-scale topography on patterns of species richness and endemism are increasingly well documented, the direct effect of local topography on endemism is less understood. This study compares different...

Questions

Question (1)
Question
Hi everyone, I am not sure if Stacked AutoEncoder, SAE and Support Vector Machine, SMV are categorising as deep learning method or not.

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