Yan Cheng
  • Source: Scopus
20202024

Research activity per year

Personal profile

Short presentation

I am a PhD student funded by the DRYTIP and Data Pool+ projects (expected to finish in Feb. 2025). I am passionate about using deep learning to decode earth observations (e.g., satellite images) and to understand terrestrial ecosystems in a changing climate. Application-wise, I am interested in physical climate risk assessment and nature-based solutions to climate change. 

Education/Academic qualification

Natural Resources Management, MSc, University of Twente

1 Sep 201722 Mar 2019

Award Date: 22 Mar 2019

Geographical Information Science, BSc, Wuhan University

1 Sep 201330 Jun 2017

Award Date: 30 Jun 2017

External positions

Remote sensing specialist, DHI

18 Jul 2022 → …

Data Analyst, World Resources Institute

18 Jan 202125 Aug 2021

AiO/Research Assistant, University of Twente

2 Dec 20191 Dec 2020

Intern, Esri (Redlands, CA)

31 May 201918 Oct 2019

Keywords

  • Faculty of Science
  • Remote sensing
  • Climate change
  • Deep learning
  • Drought
  • Land degradation
  • High resolution imaging
  • Phenology
  • Time series
  • Terrestrial ecosystems

Collaborations and top research areas from the last five years

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