Mapping Tree Mortality at Global Scale Using Sentinel-2

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

  • Clemens Mosig
  • Miguel D. Mahecha
  • David Montero
  • Oscar Perez-Priego
  • Mirela Beloiu
  • Michele Volpi
  • Hooman Latifi
  • Elham Shafeian
  • Fabian Fassnacht
  • Selina Ganz
  • Katarzyna Zielewska-Büttner
  • Etienne Laliberté
  • Myriam Cloutier
  • Marie-Therese Schmehl
  • Annett Frick
  • Helene Müller-Landau
  • KC Cushman
  • Joseph Hupy
  • Qin Ma
  • Yanjun Su
  • Pratima Khatri-Chhetri
  • Stefan Kruse
  • Julian Frey
  • Felix Schiefer
  • Samuli Junttila
  • Alastair Potts
  • Andreas Uhl
  • Christian Rossi
  • Teja Kattenborn
Excess tree mortality in the wake of climate extremes has been observed globally. However, we still lack precise data on mortality at global scale to understand respective drivers and spatiotemporal dynamics. The Sentinel-2 satellite fleet, equipped with the MultiSpectral Instrument (MSI), covers the entire earth on average every five days at spatial resolutions ranging from 10 m to 60 m. Mapping tree mortality from Sentinel-2 globally in diverse ecosystems requires equally diverse reference data. Using globally distributed high-resolution aerial orthoimagery reference data and artificial intelligence methods, we can translate spectral signatures of remote sensing into deadwood. Specifically, in this study we show how to predict the share of standing deadwood for a 10 m pixel in a specific year. The method takes into account temporal patterns, spatial context, as well as all Sentinel-2 spectral bands. This will enable us to map tree mortality globally at a new level of precision.
Original languageEnglish
Publication date11 Mar 2024
Publication statusPublished - 11 Mar 2024
EventEGU General Assembly 2024 - Vienna, Austria
Duration: 15 Apr 202419 Apr 2024


ConferenceEGU General Assembly 2024

ID: 385223040