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ORIGINAL RESEARCH article

Front. Remote Sens.
Sec. Terrestrial Carbon Cycle
Volume 5 - 2024 | doi: 10.3389/frsen.2024.1432577

Combining satellite images with national forest inventory measurements for monitoring postdisturbance forest height growth

Provisionally accepted
Agnès Pallissier-Tanon Agnès Pallissier-Tanon 1*Philippe Ciais Philippe Ciais 1Martin Schwartz Martin Schwartz 1Ibrahim Fayad Ibrahim Fayad 1Yidi Xu Yidi Xu 1François Ritter François Ritter 1,2Aurélien De Truchis Aurélien De Truchis 2Cedric Vega Cedric Vega 3Jean-Michel Leban Jean-Michel Leban 4
  • 1 UMR8212 Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Gif-sur-Yvette, Île-de-France, France
  • 2 kayrros SAS, Paris, France
  • 3 Institut National de l’information Géographique et Forestière (IGN), ParisSaint-Mandé, France
  • 4 Institut National de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE), Paris, Auvergne, France

The final, formatted version of the article will be published soon.

    The knowledge of forest growth, influenced by factors such as tree species, tree age, and environmental conditions, is key for future forest preservation. Height and age data can be combined to describe forest growth and used to infer known environmental effects. We built 14 height growth curves for stands composed of monospecific or mixed species, usWe built 14 height growth curves for stands composed of monospecific or mixed speciesing ground measurements and satellite data. We built a random forest height model from tree species and age, area of disturbance, and 125 environmental parameters (climate, altitude, soil composition, geology, stand ownership, and proximity to road and urban areas). Using feature elimination and SHAP analysis, we identified 6 key features explaining the forest growth and investigated how they affect height. The agreement between satellite and ground data justifies their simultaneous exploitation. Age and tree species are the main predictors of tree height (49 % and 10 %, respectively). The disturbed patch area, revealing the regeneration method, impacts post-disturbance growth at 19%. The soil pH, altitude, and climatic water budget in summer impact tree height differently depending on age and tree species. Methods integrating satellite and field data show promise for analyzing future forest evolution.

    Keywords: Satellite Imagery, Forest inventory, secondary tree growth, temperate forest, Tree species, random forest

    Received: 14 May 2024; Accepted: 19 Jul 2024.

    Copyright: © 2024 Pallissier-Tanon, Ciais, Schwartz, Fayad, Xu, Ritter, De Truchis, Vega and Leban. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Agnès Pallissier-Tanon, UMR8212 Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Gif-sur-Yvette, 91198, Île-de-France, France

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.