Spatiotemporal dynamics and drivers of bare soil albedo in European croplands
8 affiliations
- 1Laboratoire des Sciences du Climat et de l'Environnement (Gif-sur-Yvette, France)
- 2École Normale Supérieure - PSL (Paris, France)
- 3Institut Pierre-Simon Laplace (Paris, France)
- 4Centre National de la Recherche Scientifique (Paris, France)
- 5Université de Versailles Saint-Quentin-en-Yvelines (Versailles, France)
- 6Université Paris-Saclay (Gif-sur-Yvette, France)
- 7Écologie Fonctionnelle et Écotoxicologie des Agroécosystèmes (Palaiseau, France)
- 8AgroParisTech (Palaiseau, France)
Abstract
Bare soil albedo plays a critical role in regulating surface energy balance and land-atmosphere interactions in agricultural systems, yet its spatiotemporal variability and controlling factors remain poorly quantified at the field scale across heterogeneous cropland landscapes. To address this, we investigate the spatial patterns and temporal dynamics of bare soil albedo in European croplands. We develop a method to reconstruct field-scale, spatiotemporally continuous bare soil albedo at a 5 d temporal resolution and 0.3 km spatial resolution using Sentinel-2 reflectance observations. Bare soil periods are identified by multiple spectral indices and the corresponding soil albedo values are derived for the period 2018–2020 using a novel machine learning framework. Two random forest models were employed to separately capture the long-term spatial structure and short-term temporal anomalies of bare soil albedo, allowing gaps caused by clouds, snow, and vegetation cover to be bridged. Model evaluation against independent site observations and existing products shows that the estimated bare soil albedo reproduces observed spatial gradients and seasonal variability across European croplands. Such variations in bare soil albedo are jointly controlled by soil properties, observation geometry and short-term soil moisture dynamics rather than by any single factor. Because these variations are of the same order of magnitude as radiation management solutions, soil radiative properties must be considered in their assessment. The resulting bare soil albedo offers a process-oriented basis for improving the representation of surface radiative properties and land-atmosphere coupling in agroecosystem and land surface models.
Versions
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BibTeX
@article{yu2026spatiotemporal,
title = {{Spatiotemporal dynamics and drivers of bare soil albedo in European croplands}},
author = {Ke Yu and Yang Su and Philippe Ciais and Ronny Lauerwald and David Makowski and Tianqi Shi and Shengbiao Wu and Petra Sieber and Chuanlong Zhou and Daniel S. Goll},
journal = {Biogeosciences},
year = {2026},
month = nov,
doi = {10.5194/bg-23-7973-2026},
url = {https://bg.copernicus.org/articles/23/7973/2026/},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Spatiotemporal dynamics and drivers of bare soil albedo in European croplands
AU - Ke Yu
AU - Yang Su
AU - Philippe Ciais
AU - Ronny Lauerwald
AU - David Makowski
AU - Tianqi Shi
AU - Shengbiao Wu
AU - Petra Sieber
AU - Chuanlong Zhou
AU - Daniel S. Goll
PY - 2026
DA - 2026/11/09
JO - Biogeosciences
DO - 10.5194/bg-23-7973-2026
UR - https://bg.copernicus.org/articles/23/7973/2026/
AB - Bare soil albedo plays a critical role in regulating surface energy balance and land-atmosphere interactions in agricultural systems, yet its spatiotemporal variability and controlling factors remain poorly quantified at the field scale across heterogeneous cropland landscapes. To address this, we investigate the spatial patterns and temporal dynamics of bare soil albedo in European croplands. We develop a method to reconstruct field-scale, spatiotemporally continuous bare soil albedo at a 5 d temporal resolution and 0.3 km spatial resolution using Sentinel-2 reflectance observations. Bare soil periods are identified by multiple spectral indices and the corresponding soil albedo values are derived for the period 2018–2020 using a novel machine learning framework. Two random forest models were employed to separately capture the long-term spatial structure and short-term temporal anomalies of bare soil albedo, allowing gaps caused by clouds, snow, and vegetation cover to be bridged. Model evaluation against independent site observations and existing products shows that the estimated bare soil albedo reproduces observed spatial gradients and seasonal variability across European croplands. Such variations in bare soil albedo are jointly controlled by soil properties, observation geometry and short-term soil moisture dynamics rather than by any single factor. Because these variations are of the same order of magnitude as radiation management solutions, soil radiative properties must be considered in their assessment. The resulting bare soil albedo offers a process-oriented basis for improving the representation of surface radiative properties and land-atmosphere coupling in agroecosystem and land surface models.
SN - 1726-4189
ER -