Tree canopy extent and height change in Europe, 2001–2021, quantified using Landsat data archive

European forests are among the most extensively studied ecosystems in the world, yet there are still debates about their recent dynamics. We modeled the changes in tree canopy height across Europe from 2001 to 2021 using the multidecadal spectral data from the Landsat archive and calibration data fr...

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Published in:Remote Sensing of Environment
Main Authors: Turubanova, Svetlana, Potapov, Peter, Hansen, Matthew C., Li, Xinyuan, Tyukavina, Alexandra, Pickens, Amy H., Hernandez-Serna, Andres, Arranz, Adrian Pascual, Guerra-Hernandez, Juan, Senf, Cornelius, Häme, Tuomas, Valbuena, Ruben, Eklundh, Lars, Brovkina, Olga, Navrátilová, Barbora, Novotný, Jan, Harris, Nancy, Stolle, Fred
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2023
Subjects:
Online Access:https://lup.lub.lu.se/record/875cac22-6bb4-41c0-a1a6-bcee9b4a5ed4
https://doi.org/10.1016/j.rse.2023.113797
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author Turubanova, Svetlana
Potapov, Peter
Hansen, Matthew C.
Li, Xinyuan
Tyukavina, Alexandra
Pickens, Amy H.
Hernandez-Serna, Andres
Arranz, Adrian Pascual
Guerra-Hernandez, Juan
Senf, Cornelius
Häme, Tuomas
Valbuena, Ruben
Eklundh, Lars
Brovkina, Olga
Navrátilová, Barbora
Novotný, Jan
Harris, Nancy
Stolle, Fred
author_facet Turubanova, Svetlana
Potapov, Peter
Hansen, Matthew C.
Li, Xinyuan
Tyukavina, Alexandra
Pickens, Amy H.
Hernandez-Serna, Andres
Arranz, Adrian Pascual
Guerra-Hernandez, Juan
Senf, Cornelius
Häme, Tuomas
Valbuena, Ruben
Eklundh, Lars
Brovkina, Olga
Navrátilová, Barbora
Novotný, Jan
Harris, Nancy
Stolle, Fred
author_sort Turubanova, Svetlana
collection Lund University Publications (LUP)
container_start_page 113797
container_title Remote Sensing of Environment
container_volume 298
description European forests are among the most extensively studied ecosystems in the world, yet there are still debates about their recent dynamics. We modeled the changes in tree canopy height across Europe from 2001 to 2021 using the multidecadal spectral data from the Landsat archive and calibration data from Airborne Laser Scanning (ALS) and spaceborne Global Ecosystem Dynamics Investigation (GEDI) lidars. Annual tree canopy height was modeled using regression tree ensembles and integrated with annual tree canopy removal maps to produce harmonized tree height map time series. From these time series, we derived annual tree canopy extent maps using a ≥ 5 m tree height threshold. The root-mean-square error (RMSE) for both ALS-calibrated and GEDI-calibrated tree canopy height maps was ≤4 m. The user's and producer's accuracies estimated using reference sample data are ≥94% for the tree canopy extent maps and ≥ 80% for the annual tree canopy removal maps. Analyzing the map time series, we found that the European tree canopy extent area increased by nearly 1% overall during the past two decades, with the largest increase observed in Eastern Europe, Southern Europe, and the British Isles. However, after the year 2016, the tree canopy extent in Europe declined. Some regions reduced their tree canopy extent between 2001 and 2021, with the highest reduction observed in Fennoscandia (3.5% net decrease). The continental extent of tall tree canopy forests (≥ 15 m height) decreased by 3% from 2001 to 2021. The recent decline in tree canopy extent agrees with the FAO statistics on timber harvesting intensification and with the increasing extent and severity of natural disturbances. The observed decreasing tree canopy height indicates a reduction in forest carbon storage capacity in Europe.
format Article in Journal/Newspaper
genre Fennoscandia
genre_facet Fennoscandia
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op_doi https://doi.org/10.1016/j.rse.2023.113797
op_relation http://dx.doi.org/10.1016/j.rse.2023.113797
scopus:85169892952
op_source Remote Sensing of Environment; 298, no 113797 (2023)
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spelling ftulundlup:oai:lup.lub.lu.se:875cac22-6bb4-41c0-a1a6-bcee9b4a5ed4 2025-04-06T14:51:59+00:00 Tree canopy extent and height change in Europe, 2001–2021, quantified using Landsat data archive Turubanova, Svetlana Potapov, Peter Hansen, Matthew C. Li, Xinyuan Tyukavina, Alexandra Pickens, Amy H. Hernandez-Serna, Andres Arranz, Adrian Pascual Guerra-Hernandez, Juan Senf, Cornelius Häme, Tuomas Valbuena, Ruben Eklundh, Lars Brovkina, Olga Navrátilová, Barbora Novotný, Jan Harris, Nancy Stolle, Fred 2023-12-01 https://lup.lub.lu.se/record/875cac22-6bb4-41c0-a1a6-bcee9b4a5ed4 https://doi.org/10.1016/j.rse.2023.113797 eng eng Elsevier http://dx.doi.org/10.1016/j.rse.2023.113797 scopus:85169892952 Remote Sensing of Environment; 298, no 113797 (2023) ISSN: 0034-4257 Physical Geography Europe Forest Forest change Landsat Lidar Tree canopy height contributiontojournal/article info:eu-repo/semantics/article text 2023 ftulundlup https://doi.org/10.1016/j.rse.2023.113797 2025-03-11T14:07:47Z European forests are among the most extensively studied ecosystems in the world, yet there are still debates about their recent dynamics. We modeled the changes in tree canopy height across Europe from 2001 to 2021 using the multidecadal spectral data from the Landsat archive and calibration data from Airborne Laser Scanning (ALS) and spaceborne Global Ecosystem Dynamics Investigation (GEDI) lidars. Annual tree canopy height was modeled using regression tree ensembles and integrated with annual tree canopy removal maps to produce harmonized tree height map time series. From these time series, we derived annual tree canopy extent maps using a ≥ 5 m tree height threshold. The root-mean-square error (RMSE) for both ALS-calibrated and GEDI-calibrated tree canopy height maps was ≤4 m. The user's and producer's accuracies estimated using reference sample data are ≥94% for the tree canopy extent maps and ≥ 80% for the annual tree canopy removal maps. Analyzing the map time series, we found that the European tree canopy extent area increased by nearly 1% overall during the past two decades, with the largest increase observed in Eastern Europe, Southern Europe, and the British Isles. However, after the year 2016, the tree canopy extent in Europe declined. Some regions reduced their tree canopy extent between 2001 and 2021, with the highest reduction observed in Fennoscandia (3.5% net decrease). The continental extent of tall tree canopy forests (≥ 15 m height) decreased by 3% from 2001 to 2021. The recent decline in tree canopy extent agrees with the FAO statistics on timber harvesting intensification and with the increasing extent and severity of natural disturbances. The observed decreasing tree canopy height indicates a reduction in forest carbon storage capacity in Europe. Article in Journal/Newspaper Fennoscandia Lund University Publications (LUP) Remote Sensing of Environment 298 113797
spellingShingle Physical Geography
Europe
Forest
Forest change
Landsat
Lidar
Tree canopy height
Turubanova, Svetlana
Potapov, Peter
Hansen, Matthew C.
Li, Xinyuan
Tyukavina, Alexandra
Pickens, Amy H.
Hernandez-Serna, Andres
Arranz, Adrian Pascual
Guerra-Hernandez, Juan
Senf, Cornelius
Häme, Tuomas
Valbuena, Ruben
Eklundh, Lars
Brovkina, Olga
Navrátilová, Barbora
Novotný, Jan
Harris, Nancy
Stolle, Fred
Tree canopy extent and height change in Europe, 2001–2021, quantified using Landsat data archive
title Tree canopy extent and height change in Europe, 2001–2021, quantified using Landsat data archive
title_full Tree canopy extent and height change in Europe, 2001–2021, quantified using Landsat data archive
title_fullStr Tree canopy extent and height change in Europe, 2001–2021, quantified using Landsat data archive
title_full_unstemmed Tree canopy extent and height change in Europe, 2001–2021, quantified using Landsat data archive
title_short Tree canopy extent and height change in Europe, 2001–2021, quantified using Landsat data archive
title_sort tree canopy extent and height change in europe, 2001–2021, quantified using landsat data archive
topic Physical Geography
Europe
Forest
Forest change
Landsat
Lidar
Tree canopy height
topic_facet Physical Geography
Europe
Forest
Forest change
Landsat
Lidar
Tree canopy height
url https://lup.lub.lu.se/record/875cac22-6bb4-41c0-a1a6-bcee9b4a5ed4
https://doi.org/10.1016/j.rse.2023.113797