Mapping Tree Mortality at Global Scale Using Sentinel-2

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

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Mapping Tree Mortality at Global Scale Using Sentinel-2. / Mosig, Clemens; Mahecha, Miguel D.; Montero, David; Cheng, Yan; Perez-Priego, Oscar; Beloiu, Mirela; Volpi, Michele; Horion, Stéphanie; Latifi, Hooman; Shafeian, Elham; Fassnacht, Fabian; Ganz, Selina; Zielewska-Büttner, Katarzyna; Laliberté, Etienne; Cloutier, Myriam; Schmehl, Marie-Therese; Frick, Annett; Müller-Landau, Helene; Cushman, KC; Hupy, Joseph; Ma, Qin; Su, Yanjun; Khatri-Chhetri, Pratima; Kruse, Stefan; Frey, Julian; Schiefer, Felix; Junttila, Samuli; Potts, Alastair; Uhl, Andreas; Rossi, Christian; Kattenborn, Teja.

2024. Abstract from EGU General Assembly 2024, Vienna, Austria.

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

Harvard

Mosig, C, Mahecha, MD, Montero, D, Cheng, Y, Perez-Priego, O, Beloiu, M, Volpi, M, Horion, S, Latifi, H, Shafeian, E, Fassnacht, F, Ganz, S, Zielewska-Büttner, K, Laliberté, E, Cloutier, M, Schmehl, M-T, Frick, A, Müller-Landau, H, Cushman, KC, Hupy, J, Ma, Q, Su, Y, Khatri-Chhetri, P, Kruse, S, Frey, J, Schiefer, F, Junttila, S, Potts, A, Uhl, A, Rossi, C & Kattenborn, T 2024, 'Mapping Tree Mortality at Global Scale Using Sentinel-2', EGU General Assembly 2024, Vienna, Austria, 15/04/2024 - 19/04/2024. https://doi.org/10.5194/egusphere-egu24-18230

APA

Mosig, C., Mahecha, M. D., Montero, D., Cheng, Y., Perez-Priego, O., Beloiu, M., Volpi, M., Horion, S., Latifi, H., Shafeian, E., Fassnacht, F., Ganz, S., Zielewska-Büttner, K., Laliberté, E., Cloutier, M., Schmehl, M-T., Frick, A., Müller-Landau, H., Cushman, KC., ... Kattenborn, T. (2024). Mapping Tree Mortality at Global Scale Using Sentinel-2. Abstract from EGU General Assembly 2024, Vienna, Austria. https://doi.org/10.5194/egusphere-egu24-18230

Vancouver

Mosig C, Mahecha MD, Montero D, Cheng Y, Perez-Priego O, Beloiu M et al. Mapping Tree Mortality at Global Scale Using Sentinel-2. 2024. Abstract from EGU General Assembly 2024, Vienna, Austria. https://doi.org/10.5194/egusphere-egu24-18230

Author

Mosig, Clemens ; Mahecha, Miguel D. ; Montero, David ; Cheng, Yan ; Perez-Priego, Oscar ; Beloiu, Mirela ; Volpi, Michele ; Horion, Stéphanie ; Latifi, Hooman ; Shafeian, Elham ; Fassnacht, Fabian ; Ganz, Selina ; Zielewska-Büttner, Katarzyna ; Laliberté, Etienne ; Cloutier, Myriam ; Schmehl, Marie-Therese ; Frick, Annett ; Müller-Landau, Helene ; Cushman, KC ; Hupy, Joseph ; Ma, Qin ; Su, Yanjun ; Khatri-Chhetri, Pratima ; Kruse, Stefan ; Frey, Julian ; Schiefer, Felix ; Junttila, Samuli ; Potts, Alastair ; Uhl, Andreas ; Rossi, Christian ; Kattenborn, Teja. / Mapping Tree Mortality at Global Scale Using Sentinel-2. Abstract from EGU General Assembly 2024, Vienna, Austria.

Bibtex

@conference{af7549f6927c4661beaaae761bcf9c63,
title = "Mapping Tree Mortality at Global Scale Using Sentinel-2",
abstract = "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.",
author = "Clemens Mosig and Mahecha, {Miguel D.} and David Montero and Yan Cheng and Oscar Perez-Priego and Mirela Beloiu and Michele Volpi and St{\'e}phanie Horion and Hooman Latifi and Elham Shafeian and Fabian Fassnacht and Selina Ganz and Katarzyna Zielewska-B{\"u}ttner and Etienne Lalibert{\'e} and Myriam Cloutier and Marie-Therese Schmehl and Annett Frick and Helene M{\"u}ller-Landau and KC Cushman and Joseph Hupy and Qin Ma and Yanjun Su and Pratima Khatri-Chhetri and Stefan Kruse and Julian Frey and Felix Schiefer and Samuli Junttila and Alastair Potts and Andreas Uhl and Christian Rossi and Teja Kattenborn",
year = "2024",
month = mar,
day = "11",
doi = "10.5194/egusphere-egu24-18230",
language = "English",
note = "EGU General Assembly 2024, EGU24 ; Conference date: 15-04-2024 Through 19-04-2024",

}

RIS

TY - ABST

T1 - Mapping Tree Mortality at Global Scale Using Sentinel-2

AU - Mosig, Clemens

AU - Mahecha, Miguel D.

AU - Montero, David

AU - Cheng, Yan

AU - Perez-Priego, Oscar

AU - Beloiu, Mirela

AU - Volpi, Michele

AU - Horion, Stéphanie

AU - Latifi, Hooman

AU - Shafeian, Elham

AU - Fassnacht, Fabian

AU - Ganz, Selina

AU - Zielewska-Büttner, Katarzyna

AU - Laliberté, Etienne

AU - Cloutier, Myriam

AU - Schmehl, Marie-Therese

AU - Frick, Annett

AU - Müller-Landau, Helene

AU - Cushman, KC

AU - Hupy, Joseph

AU - Ma, Qin

AU - Su, Yanjun

AU - Khatri-Chhetri, Pratima

AU - Kruse, Stefan

AU - Frey, Julian

AU - Schiefer, Felix

AU - Junttila, Samuli

AU - Potts, Alastair

AU - Uhl, Andreas

AU - Rossi, Christian

AU - Kattenborn, Teja

PY - 2024/3/11

Y1 - 2024/3/11

N2 - 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.

AB - 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.

U2 - 10.5194/egusphere-egu24-18230

DO - 10.5194/egusphere-egu24-18230

M3 - Conference abstract for conference

T2 - EGU General Assembly 2024

Y2 - 15 April 2024 through 19 April 2024

ER -

ID: 385223040