ArticleGlobal change biology2024
Spatiotemporal Monitoring of Cropland Soil Organic Carbon Changes From Space.
Article in Global change biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Modeling Soil Organic Carbon Changes Using Signal-To-Noise Analysis: A Case Study Using European Soil Survey Datasets.Global change biology · 2026Article
- Integrating transformer-based learning and Sentinel-2 bare soil composites for soil organic carbon mapping in the black soil region of Northeast China.Scientific reports · 2026Article
- Article
- Spatiotemporal Monitoring of Cropland Soil Organic Carbon Changes From Space.Global change biology · 2024Article
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Authors and funding
5 authors.
Funding
Abstract
Soil monitoring requires accurate and spatially explicit information on soil organic carbon (SOC) trends and changes over time. Spatiotemporal SOC models based on Earth Observation (EO) satellite data can support large-scale SOC monitoring but often lack sufficient temporal validation based on long-term soil data. In this study, we used repeated SOC samples from 1986 to 2022 and a time series of multispectral bare soil observations (Landsat and Sentinel-2) to model high-resolution cropland SOC trends for almost four decades. An in-depth validation of the temporal model uncertainty and accuracy of the derived SOC trends was conducted based on a network of 100 long-term monitoring sites that were continuously resampled every 5 years. While the general SOC prediction accuracy was high (R
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Registered trials
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