13 citations as recorded by crossref.

1. Spatio-Temporal Variations Pattern Study of Gross Primary Productivity of 1979~2018 in the Qinghai-Tibet Plateau Based on the Biome-BGC Model 翔. 施 10.12677/gser.2024.132044
2. Assimilation of passive microwave vegetation optical depth in LDAS-Monde: a case study over the continental USA A. Mucia et al. 10.5194/bg-19-2557-2022
3. 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
4. VODCA2GPP – a new, global, long-term (1988–2020) gross primary production dataset from microwave remote sensing B. Wild et al. 10.5194/essd-14-1063-2022
5. Terrestrial carbon cycle: tipping edge of climate change between the atmosphere and biosphere ecosystems M. Hari & B. Tyagi 10.1039/D1EA00102G
6. 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
7. Environmental Drivers of Gross Primary Production and Evapotranspiration at a Robinia pseudoacacia L. Restoration Plantation N. Markos et al. 10.3390/f14050916
8. 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
9. Vegetation growth due to CO2 fertilization is threatened by increasing vapor pressure deficit S. Li et al. 10.1016/j.jhydrol.2023.129292
10. Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties L. Schmidt et al. 10.5194/bg-20-1027-2023
11. Tracking Global Patterns of Drought‐Induced Productivity Loss Along Severity Gradient Y. Wang et al. 10.1029/2021JG006753
12. Soil bulk density and altitude are primary drivers of soil water content and soil temperature in the Three Rivers Headwaters Region, China C. Qiao et al. 10.1111/sum.12910
13. Estimation of Global Cropland Gross Primary Production from Satellite Observations by Integrating Water Availability Variable in Light-Use-Efficiency Model D. Du et al. 10.3390/rs14071722