15 citations as recorded by crossref.

1. Automatic acquisition method of ground vegetation conditions based on U-Net and clustering algorithm in remote sensing monitoring H. Zhang & M. Periyapperuma https://doi.org/10.3389/fenvs.2026.1707781
2. Using sub-diurnal surface-air temperature difference anomaly derived from Himawari-8 geostationary satellite and meteorological grids for early detection of vegetation drought stress: Application to Australia's 2017–2019 Tinderbox Drought D. Cai et al. https://doi.org/10.1016/j.rse.2025.114768
3. Response of gross primary productivity to compound drought–heat events in southeast asian rubber plantations Q. Bao et al. https://doi.org/10.1016/j.ejrh.2026.103632
4. High-throughput phenotyping for climate-resilient forests: integrating multi-sensor fusion and root-shoot dynamics J. Lou et al. https://doi.org/10.3389/fpls.2026.1842337
5. Comprehensive framework for interpretation of WaPOR water productivity S. Veysi et al. https://doi.org/10.1016/j.heliyon.2024.e36350
6. VODCA v2: multi-sensor, multi-frequency vegetation optical depth data for long-term canopy dynamics and biomass monitoring R. Zotta et al. https://doi.org/10.5194/essd-16-4573-2024
7. Near-real-time vegetation monitoring and historical database (1981–present) for the Iberian Peninsula and the Balearic Islands M. Franquesa et al. https://doi.org/10.5194/essd-17-5885-2025
8. Multisource High-Resolution Remote Sensing Image Vegetation Extraction with Comprehensive Multifeature Perception Y. Li et al. https://doi.org/10.3390/rs16040712
9. Drought Analysis Methods: A Multidisciplinary Review with Insights on Key Decision-Making Factors in Method Selection A. Ahady et al. https://doi.org/10.3390/w17152248
10. A global daily seamless 9 km vegetation optical depth (VOD) product from 2010 to 2021 D. Hu et al. https://doi.org/10.5194/essd-17-2849-2025
11. Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties L. Schmidt et al. https://doi.org/10.5194/bg-20-1027-2023
12. Assessing the responsiveness of multiple microwave remote sensing vegetation optical depth indices to drought on crops in Midwest US J. Cao et al. https://doi.org/10.1016/j.jag.2024.104072
13. Improving AMSR2 vegetation optical depth retrievals via land parameter retrieval model parameter optimisation R. Zotta et al. https://doi.org/10.1016/j.rse.2026.115286
14. Detecting vegetation anomalies in mediterranean ecosystems in southern Italy using sentinel-2 NDVI time series and principal component analysis G. Cillis et al. https://doi.org/10.1038/s41598-026-53825-5
15. Joint assimilation of satellite-based surface soil moisture and vegetation conditions into the Noah-MP land surface model Z. Heyvaert et al. https://doi.org/10.1016/j.srs.2024.100129