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Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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FORMS-T: Forest Multiple Source height, wood volume, and biomass time-series (2018-2024) in France at 10 to 30 m resolution

Authors: Schwartz, Martin;

FORMS-T: Forest Multiple Source height, wood volume, and biomass time-series (2018-2024) in France at 10 to 30 m resolution

Abstract

This dataset contains national-scale forest attribute maps over France (2018-2024): FORMS-T Height: Canopy height map at 10 m resolution. Units are in centimeters (10⁻² m). FORMS-T Above-Ground Biomass: Biomass map at 30 m resolution. Units are in megagrams per hectare (Mg ha⁻¹). FORMS-T Growing Stock Volume: Wood volume map at 30 m resolution (WVD files). Units are in cubic meters per hectare (m³ ha⁻¹). For detailed methodology and validation, please refer to the associated publication (https://doi.org/10.1016/j.rse.2025.114959). Recommended usage: The products can also be visualized and accessed in Python without downloading, via the following Spatio-Temporal Asset Catalog (STAC): https://browser.stac.teledetection.fr/collections/forms-t. A Python code snippet to access and use the data via STAC is available here. Alternatively, the products can be downloaded as .tif files directly from this Zenodo repository. Products can also be visualized in QGIS following the instructions provided in the CDS Theia Montpellier catalog or by adding XYZ tiles directly.

Keywords

Deep-Learning, Forest growth, Seninel-2, Sentinel-1, Biomass, France, Forest, Time-series, Wood Volume, Carbon, Canopy Height, GEDI

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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