46 citations as recorded by crossref.

1. Estimating Global GPP From the Plant Functional Type Perspective Using a Machine Learning Approach R. Guo et al. 10.1029/2022JG007100
2. Estimation of carbon emissions in various clustered regions of China based on OCO-2 satellite XCO2 data and random forest modelling Y. Tan et al. 10.1016/j.atmosenv.2024.120860
3. Causal inference of root zone soil moisture performance in drought S. Xue & G. Wu 10.1016/j.agwat.2024.109123
4. Terrestrial Ecosystem Model in R (TEMIR) version 1.0: simulating ecophysiological responses of vegetation to atmospheric chemical and meteorological changes A. Tai et al. 10.5194/gmd-17-3733-2024
5. Unveiling the role of past vapor pressure deficit through soil moisture in driving tropical vegetation productivity A. Verma & S. Ghosh 10.1088/1748-9326/ad7520
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. Effects of Extreme Temperature and Precipitation Events on Daily CO2 Fluxes in the Tropics D. Gushchina et al. 10.3390/cli11060117
9. 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
10. Stability of the ecosystem gross primary productivity increasing in Chinese forestry ecological engineering area H. Liu et al. 10.1016/j.agee.2023.108636
11. 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
12. Global 500 m seamless dataset (2000–2022) of land surface reflectance generated from MODIS products X. Liang et al. 10.5194/essd-16-177-2024
13. 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
14. 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
15. Satellite‐Observed Vegetation Responses to Intraseasonal Precipitation Variability B. Harris et al. 10.1029/2022GL099635
16. Increase in gross primary production of boreal forests balanced out by increase in ecosystem respiration J. Pulliainen et al. 10.1016/j.rse.2024.114376
17. A new global time-series GPP production: DFRF-GPP Z. Xiufang et al. 10.1016/j.ecolind.2024.111551
18. Declining resistance of vegetation productivity to droughts across global biomes Z. Liu et al. 10.1016/j.agrformet.2023.109602
19. 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
20. Association and driving factors of meteorological drought and agricultural drought in Ningxia, Northwest China P. Yang et al. 10.1016/j.atmosres.2023.106753
21. 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
22. Multi-Source Remote Sensing Based Modeling of Vegetation Productivity in the Boreal: Issues & Opportunities R. Melser et al. 10.1080/07038992.2023.2256895
23. 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
24. 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
25. Quantifying the water use efficiency of karst ecosystems and response to environmental factors Z. Hu et al. 10.1016/j.ejrh.2024.101799
26. 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
27. 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
28. Contrasting responses of vegetation productivity to intraseasonal rainfall in Earth system models B. Harris et al. 10.5194/esd-15-1019-2024
29. Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity L. Kooistra et al. 10.5194/bg-21-473-2024
30. Vegetation growth due to CO2 fertilization is threatened by increasing vapor pressure deficit S. Li et al. 10.1016/j.jhydrol.2023.129292
31. Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties L. Schmidt et al. 10.5194/bg-20-1027-2023
32. Tracking Global Patterns of Drought‐Induced Productivity Loss Along Severity Gradient Y. Wang et al. 10.1029/2021JG006753
33. Improving the Gross Primary Production Estimate by Merging and Downscaling Based on Deep Learning J. Lu et al. 10.3390/f14061201
34. 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
35. Anthropogenic forcing has increased the risk of longer-traveling and slower-moving large contiguous heatwaves M. Luo et al. 10.1126/sciadv.adl1598
36. 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
37. 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
38. 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
39. Estimating Global Gross Primary Production Using an Improved MODIS Leaf Area Index Dataset S. Wang et al. 10.3390/rs16193731
40. 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
41. 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
42. 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
43. 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
44. Progress of studies on satellite-based terrestrial vegetation production models in China W. Yuan et al. 10.1177/03091333221114864
45. 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
46. 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