ArticleScientific data2024
A high-resolution satellite-based solar-induced chlorophyll fluorescence dataset for China from 2000 to 2022.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- A cloud-computing framework for downscaled global 300 m SIF retrieval from Sentinel-3 and TROPOSIF.International journal of applied earth observation and geoinformation : ITC journal · 2026Article
- Differences in Phenological Estimation From Multi-Vegetation Indices Across the Yellow River Basin.Ecology and evolution · 2026Article
- Assessing the potential fire tolerance of conifer saplings in cold and wet environments using a pyro-ecophysiology approach.Fire ecology · 2026Article
- Study on the spatiotemporal variations of vegetation phenology in China based on solar-induced chlorophyll fluorescence.Frontiers in plant science · 2026Article
- Improved estimation of forage nitrogen in alpine grassland by integrating Sentinel-2 and SIF data.Plant methods · 2025Article
- Maize yield estimation in Northeast China's black soil region using a deep learning model with attention mechanism and remote sensing.Scientific reports · 2025Article
- Potential of solar-induced chlorophyll fluorescence for monitoring long-term dynamics of soil salinity in Central Asia the Xinjiang Region China.Frontiers in plant science · 2025Article
- A high-resolution satellite-based solar-induced chlorophyll fluorescence dataset for China from 2000 to 2022.Scientific data · 2024Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Solar-induced chlorophyll fluorescence (SIF) serves as a valuable proxy for photosynthesis. The TROPOspheric Monitoring Instrument (TROPOMI) aboard the Copernicus Sentinel-5P mission offers nearly global coverage with a fine spectral resolution for reliable SIF retrieval. However, the present satellite-derived SIF datasets are accessible only at coarse spatial resolutions, constraining its applications at fine scales. Here, we utilized a weighted stacking algorithm to generate a high spatial resolution SIF dataset (500 m, 8-day) in China (HCSIF) from 2000 to 2022 from the TROPOMI with a spatial resolution at a nadir of 3.5 km by 5.6-7 km. Our algorithm demonstrated high accuracy on validation datasets (R
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