50 citations as recorded by crossref.

1. A convolutional neural network for spatial downscaling of satellite-based solar-induced chlorophyll fluorescence (SIFnet) J. Gensheimer et al. 10.5194/bg-19-1777-2022
2. An empirical model for estimating daily atmospheric column-averaged CO2 concentration above São Paulo state, Brazil L. da Costa et al. 10.1186/s13021-022-00209-7
3. Generating high-resolution total canopy SIF emission from TROPOMI data: Algorithm and application Z. Zhang et al. 10.1016/j.rse.2023.113699
4. Global Analysis of the Relationship between Reconstructed Solar-Induced Chlorophyll Fluorescence (SIF) and Gross Primary Production (GPP) H. Gao et al. 10.3390/rs13142824
5. Effects of Low Temperature on the Relationship between Solar-Induced Chlorophyll Fluorescence and Gross Primary Productivity across Different Plant Function Types J. Chen et al. 10.3390/rs14153716
6. Uniform upscaling techniques for eddy covariance FLUXes (UFLUX) S. Zhu et al. 10.1080/01431161.2024.2312266
7. Downscaling Solar-Induced Chlorophyll Fluorescence Based on Convolutional Neural Network Method to Monitor Agricultural Drought Z. Zhang et al. 10.1109/TGRS.2020.2999371
8. A unified vegetation index for quantifying the terrestrial biosphere G. Camps-Valls et al. 10.1126/sciadv.abc7447
9. A Machine Learning Approach for Mapping Chlorophyll Fluorescence at Inland Wetlands M. Bartold & M. Kluczek 10.3390/rs15092392
10. Estimation of global GPP from GOME-2 and OCO-2 SIF by considering the dynamic variations of GPP-SIF relationship J. Bai et al. 10.1016/j.agrformet.2022.109180
11. A Spatial Downscaling Method for Solar-Induced Chlorophyll Fluorescence Product Using Random Forest Regression and Drought Monitoring in Henan Province Z. Zhang et al. 10.3390/rs16060963
12. Satellite solar-induced chlorophyll fluorescence and near-infrared reflectance capture complementary aspects of dryland vegetation productivity dynamics X. Wang et al. 10.1016/j.rse.2021.112858
13. An evaluation of the response of vegetation greenness, moisture, fluorescence, and temperature-based remote sensing indicators to drought stress H. Sun et al. 10.1016/j.jhydrol.2023.130125
14. Exploring the Potential of Solar-Induced Chlorophyll Fluorescence Monitoring Drought-Induced Net Primary Productivity Dynamics in the Huang-Huai-Hai Plain Based on the SIF/NPP Ratio Y. Wang et al. 10.3390/rs15133276
15. Sensitivity of remote sensing-based vegetation proxies to climate and sea surface temperature variabilities in Australia and parts of Southeast Asia S. Arjasakusuma et al. 10.1080/01431161.2020.1782509
16. Assessing the contribution of understory sun-induced chlorophyll fluorescence through 3-D radiative transfer modelling and field data A. Hornero et al. 10.1016/j.rse.2020.112195
17. An exploration of solar-induced chlorophyll fluorescence (SIF) factors simulated by SCOPE for capturing GPP across vegetation types S. Yang et al. 10.1016/j.ecolmodel.2022.110079
18. A model for urban biogenic CO<sub>2</sub> fluxes: Solar-Induced Fluorescence for Modeling Urban biogenic Fluxes (SMUrF v1) D. Wu et al. 10.5194/gmd-14-3633-2021
19. Generation of a Global Spatially Continuous TanSat Solar-Induced Chlorophyll Fluorescence Product by Considering the Impact of the Solar Radiation Intensity Y. Ma et al. 10.3390/rs12132167
20. Long-term dynamics of peak photosynthesis timing and environmental controls in the Tibetan Plateau monitored by satellite solar-induced chlorophyll fluorescence Z. Tu et al. 10.1080/17538947.2023.2300311
21. Full-coverage 250 m monthly aerosol optical depth dataset (2000–2019) amended with environmental covariates by an ensemble machine learning model over arid and semi-arid areas, NW China X. Chen et al. 10.5194/essd-14-5233-2022
22. Spatial Statistical Prediction of Solar-Induced Chlorophyll Fluorescence (SIF) from Multivariate OCO-2 Data J. Jacobson et al. 10.3390/rs15164038
23. Global patterns of water storage in the rooting zones of vegetation B. Stocker et al. 10.1038/s41561-023-01125-2
24. Satellite-Based Observations Reveal the Altitude-Dependent Patterns of SIFyield and Its Sensitivity to Ambient Temperature in Tibetan Meadows R. Chen et al. 10.3390/rs13071400
25. Explainable Machine Learning Confirms the Global Terrestrial CO2 Fertilization Effect From Space S. Zhu et al. 10.1109/LGRS.2023.3298373
26. An improved downscaled sun-induced chlorophyll fluorescence (DSIF) product of GOME-2 dataset Y. Ma et al. 10.1080/22797254.2022.2028579
27. Using enhanced vegetation index and land surface temperature to reconstruct the solar-induced chlorophyll fluorescence of forests and grasslands across latitude and phenology P. Zhang et al. 10.3389/ffgc.2023.1257287
28. Solar-Induced Chlorophyll Fluorescence (SIF): Towards a Better Understanding of Vegetation Dynamics and Carbon Uptake in Arctic-Boreal Ecosystems R. Cheng 10.1007/s40641-024-00194-8
29. A long-term reconstructed TROPOMI solar-induced fluorescence dataset using machine learning algorithms X. Chen et al. 10.1038/s41597-022-01520-1
30. A Comprehensive Review of Crop Yield Prediction Using Machine Learning Approaches With Special Emphasis on Palm Oil Yield Prediction M. Rashid et al. 10.1109/ACCESS.2021.3075159
31. Can upscaling ground nadir SIF to eddy covariance footprint improve the relationship between SIF and GPP in croplands? G. Wu et al. 10.1016/j.agrformet.2023.109532
32. Challenges for drought assessment in the Mediterranean region under future climate scenarios Y. Tramblay et al. 10.1016/j.earscirev.2020.103348
33. A simple approach to enhance the TROPOMI solar-induced chlorophyll fluorescence product by combining with canopy reflected radiation at near-infrared band X. Liu et al. 10.1016/j.rse.2022.113341
34. Flash drought early warning based on the trajectory of solar-induced chlorophyll fluorescence K. Mohammadi et al. 10.1073/pnas.2202767119
35. Temporal variability of observed and simulated gross primary productivity, modulated by vegetation state and hydrometeorological drivers J. De Pue et al. 10.5194/bg-20-4795-2023
36. Can the MODIS Data Achieve the Downscaling of GOME-2 SIF? Validation of Data from China H. Si et al. 10.3390/su15075920
37. The Relationship of Gross Primary Productivity with NDVI Rather than Solar-Induced Chlorophyll Fluorescence Is Weakened under the Stress of Drought W. Zhao et al. 10.3390/rs16030555
38. Downscaling Solar-Induced Chlorophyll Fluorescence to a 0.05° Monthly Product Using AVHRR Data in East Asia (1995–2003) Y. Jin et al. 10.1109/JSTARS.2024.3369332
39. The Negative Impact of Excessive Moisture Contributes to the Seasonal Dynamics of Photosynthesis in Amazon Moist Forests R. Chen et al. 10.1029/2021EF002306
40. An Operational Downscaling Method of Solar-Induced Chlorophyll Fluorescence (SIF) for Regional Drought Monitoring Z. Hong et al. 10.3390/agriculture12040547
41. Importance of the legacy effect for assessing spatiotemporal correspondence between interannual tree-ring width and remote sensing products in the Sierra Nevada C. Wong et al. 10.1016/j.rse.2021.112635
42. Exploring the Potential of Spatially Downscaled Solar-Induced Chlorophyll Fluorescence to Monitor Drought Effects on Gross Primary Production in Winter Wheat Q. Shen et al. 10.1109/JSTARS.2022.3148393
43. Spatial Downscaling of Vegetation Productivity in the Forest From Deep Learning T. Yu et al. 10.1109/ACCESS.2022.3210218
44. Downscaled Satellite Solar-Induced Chlorophyll Fluorescence Detects the Early Response of Sugarcane to Drought Stress in a Major Sugarcane-Planting Region of China N. Yang et al. 10.3390/rs15163937
45. A Reconstructed Global Daily Seamless SIF Product at 0.05 Degree Resolution Based on TROPOMI, MODIS and ERA5 Data J. Hu et al. 10.3390/rs14061504
46. Sun-induced fluorescence as a proxy for primary productivity across vegetation types and climates M. Pickering et al. 10.5194/bg-19-4833-2022
47. Contrasting responses of relationship between solar-induced fluorescence and gross primary production to drought across aridity gradients R. Qiu et al. 10.1016/j.rse.2023.113984
48. Downscaling solar-induced chlorophyll fluorescence for field-scale cotton yield estimation by a two-step convolutional neural network X. Kang et al. 10.1016/j.compag.2022.107260
49. Integrating multi-source datasets in exploring the covariation of gross primary productivity (GPP) and solar-induced chlorophyll fluorescence (SIF) at an Indian tropical forest flux site M. Hari et al. 10.1007/s12665-024-11528-y
50. Temporally corrected long-term satellite solar-induced fluorescence leads to improved estimation of global trends in vegetation photosynthesis during 1995–2018 S. Wang et al. 10.1016/j.isprsjprs.2022.10.018