47 citations as recorded by crossref.

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6. Assessment of Carbon Productivity Trends and Their Resilience to Drought Disturbances in the Middle East Based on Multi-Decadal Space-Based Datasets K. Alsafadi et al. 10.3390/rs14246237
7. Assessing and improving the high uncertainty of global gross primary productivity products based on deep learning under extreme climatic conditions L. Qian et al. 10.1016/j.scitotenv.2024.177344
8. Plant Phenology Index leveraging over conventional vegetation indices to establish a new remote sensing benchmark of GPP for northern ecosystems H. Marsh et al. 10.1016/j.jag.2024.104289
9. Effects of Extreme Temperature and Precipitation Events on Daily CO2 Fluxes in the Tropics D. Gushchina et al. 10.3390/cli11060117
10. Climate and soil properties regulate the initial concentrations of potassium, calcium and magnesium in plant litter on a global scale J. Yuan et al. 10.1111/1365-2435.14558
11. Stability of the ecosystem gross primary productivity increasing in Chinese forestry ecological engineering area H. Liu et al. 10.1016/j.agee.2023.108636
12. Estimation of radiation scalar using deep learning for improved gross primary productivity estimation based on a light-use efficiency model Y. Sun et al. 10.1080/17538947.2024.2402421
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14. Remote sensing of daily evapotranspiration and gross primary productivity of four forest ecosystems in East Asia using satellite multi-channel passive microwave measurements Y. Wang et al. 10.1016/j.agrformet.2023.109595
15. Global estimates of L-band vegetation optical depth and soil permittivity of snow-covered boreal forests and permafrost landscape using SMAP satellite data D. Kumawat et al. 10.1016/j.rse.2024.114145
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18. A new global time-series GPP production: DFRF-GPP Z. Xiufang et al. 10.1016/j.ecolind.2024.111551
19. Declining resistance of vegetation productivity to droughts across global biomes Z. Liu et al. 10.1016/j.agrformet.2023.109602
20. The Orbiting Carbon Observatory-2 (OCO-2) and in situ CO2 data suggest a larger seasonal amplitude of the terrestrial carbon cycle compared to many dynamic global vegetation models R. Lei et al. 10.1016/j.rse.2024.114326
21. Association and driving factors of meteorological drought and agricultural drought in Ningxia, Northwest China P. Yang et al. 10.1016/j.atmosres.2023.106753
22. The Loss and Recovery Potential of Net Ecosystem Productivity in Mining Areas: A Global Assessment Based on Data for 2000–2020 Y. Yang et al. 10.3390/land13111913
23. Multi-Source Remote Sensing Based Modeling of Vegetation Productivity in the Boreal: Issues & Opportunities R. Melser et al. 10.1080/07038992.2023.2256895
24. 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
25. Estimating leaf moisture content at global scale from passive microwave satellite observations of vegetation optical depth M. Forkel et al. 10.5194/hess-27-39-2023
26. Quantifying the water use efficiency of karst ecosystems and response to environmental factors Z. Hu et al. 10.1016/j.ejrh.2024.101799
27. Long-term, high-resolution GPP mapping in Qinghai using multi-source data and google earth engine F. Yang et al. 10.1080/17538947.2023.2288131
28. Joint assimilation of satellite-based surface soil moisture and vegetation conditions into the Noah-MP land surface model Z. Heyvaert et al. 10.1016/j.srs.2024.100129
29. Contrasting responses of vegetation productivity to intraseasonal rainfall in Earth system models B. Harris et al. 10.5194/esd-15-1019-2024
30. Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity L. Kooistra et al. 10.5194/bg-21-473-2024
31. Vegetation growth due to CO2 fertilization is threatened by increasing vapor pressure deficit S. Li et al. 10.1016/j.jhydrol.2023.129292
32. Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties L. Schmidt et al. 10.5194/bg-20-1027-2023
33. Tracking Global Patterns of Drought‐Induced Productivity Loss Along Severity Gradient Y. Wang et al. 10.1029/2021JG006753
34. Improving the Gross Primary Production Estimate by Merging and Downscaling Based on Deep Learning J. Lu et al. 10.3390/f14061201
35. Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models P. Reyes-Muñoz et al. 10.1016/j.rse.2024.114072
36. Anthropogenic forcing has increased the risk of longer-traveling and slower-moving large contiguous heatwaves M. Luo et al. 10.1126/sciadv.adl1598
37. Gross primary productivity of terrestrial ecosystems: a review of observations, remote sensing, and modelling studies over South Asia V. Pandey et al. 10.1007/s00704-024-05158-4
38. Global-scale improvement of the estimation of terrestrial gross primary productivity by integrating optical and microwave remote sensing with meteorological data S. Zhang et al. 10.1016/j.ecoinf.2024.102780
39. A novel AMSR2 retrieval algorithm for global C-band vegetation optical depth and soil moisture (AMSR2 IB): Parameters' calibration, evaluation and inter-comparison M. Wang et al. 10.1016/j.rse.2024.114370
40. Estimating Global Gross Primary Production Using an Improved MODIS Leaf Area Index Dataset S. Wang et al. 10.3390/rs16193731
41. Developing a Multi-Scale Convolutional Neural Network for Spatiotemporal Fusion to Generate MODIS-like Data Using AVHRR and Landsat Images Z. Zhang et al. 10.3390/rs16061086
42. VODCA v2: multi-sensor, multi-frequency vegetation optical depth data for long-term canopy dynamics and biomass monitoring R. Zotta et al. 10.5194/essd-16-4573-2024
43. Global increase in future compound heat stress-heavy precipitation hazards and associated socio-ecosystem risks Z. Zhou et al. 10.1038/s41612-024-00579-4
44. Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. Remote-Sensing multiple datasets D. Dalmonech et al. 10.1080/22797254.2023.2301657
45. Progress of studies on satellite-based terrestrial vegetation production models in China W. Yuan et al. 10.1177/03091333221114864
46. Assessing the responsiveness of multiple microwave remote sensing vegetation optical depth indices to drought on crops in Midwest US J. Cao et al. 10.1016/j.jag.2024.104072
47. Effects of Vegetation Phenology on Ecosystem Water Use Efficiency in a Semiarid Region of Northern China Y. Zhang et al. 10.3389/fpls.2022.945582