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2000-2022年中国高时空分辨率SIF数据集
2000-2022年中国高时空分辨率SIF数据集（简称HCSIF），基于加权Stacking方法，结合MODIS反射率、温度、ERA-5气象数据、DEM数据生成。空间分辨率为500m，时间分辨率为8天，数据范围自2000年至2022年，缩放因子为0.0001。HCSIF的生成算法在测试集上获得了较高精度（R²=0.87，RMSE=0.057mW/m²/nm/sr），HCSIF数据集与OCO-2 S
国家生态科学数据中心5370
Two Excel spreadsheets including eddy covariance and sun-induced chlorophyll fluorescence (SIF) data measured at Yunxiao mangrove flux tower.
Two Excel spreadsheets including eddy covariance and sun-induced chlorophyll fluorescence (SIF) data measured at Yunxiao mangrove flux tower: (1) data1_30min.xlsx includes all 30-min data within 297 d
NIAID Data Ecosystem40
Global degradation corrected 0.05 degree GOME-2 SIF datasets (derived from JJ datasets)
8-day instrument degradation corrected 0.05 degree GOME-2 SIF datasets on a global scale from 2010 to 2018. JJ dataset from the spatially downscaled sun-induced fluorescence global product proposed by
Zenodo2020-09-25 更新20
Global degradation corrected 0.05 degree GOME-2 SIF datasets (derived from PK datasets)
8-day instrument degradation corrected 0.05 degree GOME-2 SIF datasets on a global scale from 2010 to 2018. PK dataset from the spatially downscaled sun-induced fluorescence global product proposed by
Zenodo2020-09-26 更新40
RSIF: A 0.005° Global SIF Dataset Based on an End-to-End Convolutional Neural Network with Spatial Redistribution
To improve the spatial resolution and preserve the spatial fidelity of TROPOMI Solar-Induced chlorophyll Fluorescence (SIF), we developed a global 0.005° SIF product (RSIF) covering May 2018 to Decemb
Zenodo2025-09-03 更新20
