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8 results for “solar-induced chlorophyll fluorescence”

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zenodo44/100

Canopy solar-induces chlorophyll fluorescence measurements at seven sites

<p>This dataset will accompany the paper &quot;Direct validation of TROPOMI solar-induced chlorophyll fluorescence products using tower-based measurements reveals shortcomings with the current satellite SIF products&quot; in the Remote Sensing of Environment. This dataset includes the canopy SIF measurements at noon timescale for six sites and a public hourly canopy SIF dataset that accompanies the paper &quot;Mechanistic evidence for tracking the seasonality of photosynthesis with solar induced fluorescence&quot; in the Proceedings of the National Academy of Sciences. All relevant methodological information can be found in the paper: Shanshan, D., Xinjie, L., Jidai, C., Weina, D., and Liangyun, L. in press.</p>

opencc-by-4.0Oct 2022View details →
zenodo40/100

A downscaled 0.05-Degree Monthly Solar-Induced Chlorophyll Fluorescence Product derived using AVHRR Data in East Asia (1995-2003)

<p>Downscaling techniques offer the opportunity to utilize coarse-spatial-resolution SIF products for investigating carbon cycles and ecological processes at finer resolutions. Here, we generated a new monthly SIF product, DSIF_EA0.05, at a resolution of 0.05&deg; in East Asia from July 1995 to June 2003. The random forest kriging (RFK) approach was employed, incorporating GOME SIF, AVHRR data, ERA5 climate data, and using the optimal explanatory variables. The unit of SIF is mW m<sup>-2</sup> nm<sup>-1</sup> sr<sup>-1</sup>. The selected variables were daily maximum values of air temperature (T<sub>air</sub>), skin temperature (T<sub>skin</sub>), fraction of absorbed photosynthetically active radiation (fPAR), near-infrared reflectance of vegetation (NIRv), downward shortwave radiation (SR<sub>down</sub>), and precipitation. To verify the reliability of DSIF_EA0.05 and the advantages over original GOME SIF, this dataset has been validated with the original GOME SIF, ground gross primary productivity (GPP) data from eight flux sites, and two other SIF products at 1-degree and 0.05-degree resolutions from SCIAMACHY SIF and downscaled SCIAMACHY SIF datasets.</p>

opencc-by-4.0Jul 2023View details →
zenodo36/100

TanSat Solar-Induced Chlorophyll Fluorescence Product

<p>The&nbsp;TanSat&nbsp;Solar Induce&nbsp;chlorophyll&nbsp;fluorescence&nbsp;(SIF)&nbsp;retrievals&nbsp;acquired&nbsp;from&nbsp;the&nbsp;AGCS&nbsp;spectroradiometer&nbsp;onboard TanSat&nbsp;make&nbsp;use&nbsp;of&nbsp;O<sub>2</sub>-A&nbsp;band&nbsp;L1&nbsp;data&nbsp;with&nbsp;0.044&nbsp;nm&nbsp;spectral&nbsp;resolution&nbsp;and&nbsp;wavelengths&nbsp;between&nbsp;757.4&nbsp;and&nbsp;778.1&nbsp;nm.</p> <p>The&nbsp;TanSat&nbsp;SIF products contain&nbsp;effective&nbsp;SIF&nbsp;values&nbsp;(including&nbsp;SIF_758nm&nbsp;and&nbsp;SIF_771nm)&nbsp;and&nbsp;other&nbsp;geometric&nbsp;information&nbsp;</p> <p>(Latitude,&nbsp;longitude,&nbsp;angles&nbsp;and&nbsp;so&nbsp;forth).&nbsp;There&nbsp;is&nbsp;one&nbsp;file&nbsp;per&nbsp;day&nbsp;if&nbsp;the&nbsp;corresponding&nbsp;ACGS&nbsp;L1B&nbsp;data&nbsp;is&nbsp;available.</p>

opencc-by-4.0Jun 2020View details →
zenodo36/100

Solar-induced chlorophyll fluorescence study in Bibai Wetland

<p>#SIF study in Bibai Wetland</p><p>The data utilized in the investigation carried out by Buareal et al.,</p><p>titled "Solar-induced chlorophyll fluorescence as a potential proxy for gross primary production and methane emission in a cool-temperate bog in northern Japan," comprised:</p><p>a. Solar-induced chlorophyll fluorescence (SIF)</p><p>b. Eddy flux data and meteorological measurements (specifically FCh4, GPP, Ta, Ts, VPD, Water table depth, Soil water content, and PPFD) obtained from Bibai Mire, a cool-temperate bog in Japan.</p>

opencc-by-4.0Dec 2023View details →
dryad32/100

Data from: Comparison of solar-induced chlorophyll fluorescence, light-use efficiency, and process-based GPP models in maize

Accurately quantifying cropland gross primary production (GPP) is of great importance to monitor cropland status and carbon budgets. Satellite-based light-use efficiency (LUE) models and process-based terrestrial biosphere models (TBMs) have been widely used to quantify cropland GPP at different scales in past decades. However, model estimates of GPP are still subject to large uncertainties, especially for croplands. More recently, space-borne solar-induced chlorophyll fluorescence (SIF) has shown the ability to monitor photosynthesis from space, providing new insights into actual photosynthesis monitoring. In this study, we examined the potential of SIF data to describe maize phenology and evaluated three GPP modeling approaches (space-borne SIF retrievals, a LUE-based Vegetation Photosynthesis Model (VPM), and a process-based Soil Canopy Observation of Photochemistry and Energy flux (SCOPE) model constrained by SIF) at a maize (Zea mays L.) site in Mead, Nebraska, USA. The result shows that SIF captured the seasonal variations (particularly during the early and late growing season) of tower-derived GPP (GPP_EC) much better than did satellite-based vegetation indices (enhanced vegetation index, EVI and land surface water index, LSWI). Consequently, SIF was strongly correlated with GPP_EC than were EVI and LSWI. Evaluation of GPP estimates against GPP_EC during the growing season demonstrated that all three modeling approaches provided reasonable estimates of maize GPP, with Pearson's correlation coefficients (r) of 0.97, 0.94, and 0.93 for the SCOPE, VPM, and SIF models, respectively. The SCOPE model provided the best simulation of maize GPP when SIF observations were incorporated through optimizing the key parameter of maximum carboxylation capacity (Vcmax). Our results illustrate the potential of SIF data to offer an additional way to investigate the seasonality of photosynthetic activity, to constrain process-based models for improving GPP estimates, and to reasonably estimate GPP by integrating SIF and GPP_EC data without dependency on climate inputs and satellite-based vegetation indices.

opencc-zeroDec 2014View details →
zenodo32/100

TroDSIF: an improved spatially downscaled solar-induced chlorophyll fluorescence product of TROPOMI dataset

<p>TroDSIF is an improved spatially downscaled solar-induced chlorophyll fluorescence product of TROPOMI dataset at far-red band (wavelength at 740&nbsp;nm), with&nbsp;a spatial resolution of 500 m and a temporal resolution of 16 days under clear-sky condition.<br>The original TROPOMI SIF was&nbsp;retrieved by Guanter et al., which was available at https://doi.org/10.5270/esa-s5p_innovation-sif-20180501_20210320-v2.1-202104.</p>

opencc-by-4.0Oct 2023View details →
zenodo32/100

Global Spatially Continuous TanSat Solar-Induced Chlorophyll Fluorescence Product

<p>The global spatially continuous TanSat solar-induced chlorophyll fluorescence product (wavelength at 758 nm) had&nbsp;a spatial resolution of 0.05&deg; and a temporal resolution of four days. Version 2 presents daily SIF under clear-sky and all-sky.&nbsp;&nbsp;<br> The original discontinuous&nbsp;TanSat SIF (referenced at 758 nm and 771 nm)&nbsp;at 13:30 local time&nbsp;was&nbsp;retrieved through&nbsp;singular vector decomposition (SVD).&nbsp;The information about&nbsp;original TanSat SIF can refer&nbsp;to the link (https://zenodo.org/record/3883434).&nbsp;<br> &nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2022View details →
dryad32/100

Data from: Comparison of solar-induced chlorophyll fluorescence, light-use efficiency, and process-based GPP models in maize

Open the record for dataset details and reuse information.

publicDec 2015View details →

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