Satellite: Level 3 SIF

Note: Table is taken from Wen et al., 2020. Products are active and continuously updated. The most recent status is summarized below.

Harmonized long-term SIF (SIF005): Monthly, 0.05 degree, 2002-2018

Harmonization of GOME-2 and SCIAMACHY SIF datasets using machine learning with MODIS to downscale products to a common resolution, and cumulative distribution functions to correct for offsets between multiple sensors (Wen et al., 2020, RSE)

Spatially Contiguous SIF from OCO-2 (SIF_OCO2_005): 16 day, 0.05 degree, 2014-2020

Spatially Contiguous SIF Derived from OCO-2 using machine learning constrained by physiological understandings (Yu et al., 2018, GRL)

Long Term Corrected SIF (LT_SIFc): Monthly, 0.05 degree, 1995-2018

Temporally corrected, spatially downscaled SIF global product combining GOME (1995-2003), SCIAMACHY (2002-2012), and GOME-2A (2007-2018) MEASURES-based SIF products into a continuously, long-term consistent data product from July 1995 - December 2018 (Wang et al., 2022, ISPRSJPRS)

Global OCO-2 SIF (GOSIF): 8 day, 0.05 degree, 2001-2020

Global, OCO-2-based SIF data set with high spatial and temporal resolutions (i.e., 0.05-degree, 8-day) over the period 2000-2018 based on discrete OCO-2 SIF soundings, remote sensing data from MODIS, and meteorological reanalysis data (Li and Xiao, 2019a).

Continuous Solar Induced Fluorescence (CSIF): 4 day, 0.05 degree, 2001-2020

A global spatially contiguous solar-induced fluorescence dataset using neural networks (Zhang et al., 2018, BG)

Light Use Efficiency SIF (SIF_LUE): 8 day, 0.05, 2007-2018

Spatially downscaled SIF global product for enhanced monitoring of vegetation productivity, using light-use efficiency (LUE) modeling to establish a semi-empirical relationship between GOME-2 SIF and various explanatory variables derived from remote sensing at higher spatial resolution (Duveiller et al., 2020, ESSD)
SIF_LUE is spatially and temporally re-calibrated to the original GOME-2 SIF signal over moving windows, ensuring high consistency with the original GOME-2 signal

Reconstructed Solar Induced Fluorescence (RSIF): 8 day, 0.5 degree, 2001-2016

A Machine Learning Vegetation Product Based on MODIS Surface Reflectance to Reproduce GOME‐2 Solar‐Induced Fluorescence (Gentine and Alemohammad, 2018, GRL)

Predictions and root-mean-squared prediction errors (RMSPEs) for North America. Data for July 2021 were produced using cokriging. Other months were produced using kriging. (Jacobson et al., 2023, RS)

Downscaled SIF (TROPOMI_SIF):

Oversampling and spatial downscaling of overlapping TROPOMI soundings using 14 day averaging window (Turner et al., 2018, BG)
Daily over California