26 citations as recorded by crossref.

1. Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 retrieval algorithm T. Taylor et al. 10.5194/amt-16-3173-2023
2. An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space S. Kumar et al. 10.1029/2022MS003259
3. Dryland evapotranspiration from remote sensing solar-induced chlorophyll fluorescence: Constraining an optimal stomatal model within a two-source energy balance model J. Bu et al. 10.1016/j.rse.2024.113999
4. Solar angle matters: Diurnal pattern of solar-induced chlorophyll fluorescence from OCO-3 and TROPOMI Z. Zhang & Y. Zhang 10.1016/j.rse.2022.113380
5. Global modeling diurnal gross primary production from OCO-3 solar-induced chlorophyll fluorescence Z. Zhang et al. 10.1016/j.rse.2022.113383
6. CSIF and GOSIF Do Not Accurately Capture the Vegetation Greening During the Spring of 2020 Y. Du et al. 10.1109/LGRS.2024.3379255
7. 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
8. Drought Monitoring of Spring Maize in the Songnen Plain Using Multi-Source Remote Sensing Data Z. Pei et al. 10.3390/atmos14111614
9. Generating high-resolution total canopy SIF emission from TROPOMI data: Algorithm and application Z. Zhang et al. 10.1016/j.rse.2023.113699
10. Validation of solar-induced chlorophyll fluorescence products derived from OCO-2/3 observations using tower-based in situ measurements S. Du et al. 10.1080/2150704X.2023.2234551
11. Regional‐Scale Wilting Point Estimation Using Satellite SIF, Radiative‐Transfer Inversion, and Soil‐Vegetation‐Atmosphere Transfer Simulation: A Grassland Study T. Kiyono et al. 10.1029/2022JG007074
12. Large diurnal compensatory effects mitigate the response of Amazonian forests to atmospheric warming and drying Z. Zhang et al. 10.1126/sciadv.abq4974
13. 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
14. Seasonal and Diurnal Variations in XCO2 Characteristics in China as Observed by OCO‐2/3 Satellites: Effects of Land Cover and Local Meteorology H. Zhao et al. 10.1029/2023JD038841
15. Harmonizing solar induced fluorescence across spatial scales, instruments, and extraction methods using proximal and airborne remote sensing: A multi-scale study in a soybean field R. Wang et al. 10.1016/j.rse.2022.113268
16. Exploring the spatio-temporal patterns of global mangrove gross primary production and quantifying the factors affecting its estimation, 1996–2020 Z. Sun et al. 10.1016/j.scitotenv.2023.168262
17. An integrated solar-induced chlorophyll fluorescence model for more accurate soil organic carbon content estimation in an Alpine agricultural area Q. Yu et al. 10.1007/s11104-022-05863-x
18. High spatial resolution solar-induced chlorophyll fluorescence and its relation to rainfall precipitation across Brazilian ecosystems L. da Costa et al. 10.1016/j.envres.2022.114991
19. Spatial Statistical Prediction of Solar-Induced Chlorophyll Fluorescence (SIF) from Multivariate OCO-2 Data J. Jacobson et al. 10.3390/rs15164038
20. Stress-induced changes in photosynthesis and proximal fluorescence emission of turfgrass T. Jones et al. 10.1088/2515-7620/ad0b29
21. Determination of Greenhouse Gas Concentrations from the 16U CubeSat Spacecraft Using Fourier Transform Infrared Spectroscopy V. Mayorova et al. 10.3390/s23156794
22. Using Sentinel-2-Based Metrics to Characterize the Spatial Heterogeneity of FLEX Sun-Induced Chlorophyll Fluorescence on Sub-Pixel Scale N. Jantol et al. 10.3390/rs15194835
23. Hybrid Machine Learning and Geostatistical Methods for Gap Filling and Predicting Solar-Induced Fluorescence Values J. Tadić et al. 10.3390/rs16101707
24. Seamless mapping of long-term (2010–2020) daily global XCO2 and XCH4 from the Greenhouse Gases Observing Satellite (GOSAT), Orbiting Carbon Observatory 2 (OCO-2), and CAMS global greenhouse gas reanalysis (CAMS-EGG4) with a spatiotemporally self-supervised fusion method Y. Wang et al. 10.5194/essd-15-3597-2023
25. Spectroscopic techniques conceptualized with the remote sensing of atmospheric carbon dioxide and other greenhouse gases B. Raychaudhuri 10.1080/05704928.2024.2326527
26. Estimating Gross and Net Primary Productivities Using Earth Observation Products: a Review H. Sabzchi-Dehkharghani et al. 10.1007/s10666-023-09927-9