14 citations as recorded by crossref.

1. Time-Series of Cloud-Free Sentinel-2 NDVI Data Used in Mapping the Onset of Growth of Central Spitsbergen, Svalbard S. Karlsen et al. https://doi.org/10.3390/rs13153031
2. Remote Sensing of Climate-Vegetation Dynamics and Their Effects on Ecosystems C. Chang et al. https://doi.org/10.3390/rs15215097
3. Fine-scale landscape characteristics, vegetation composition, and snowmelt timing control phenological heterogeneity across low-Arctic tundra landscapes in Western Alaska D. Yang et al. https://doi.org/10.1088/2752-664X/ad9eb8
4. Improving ecological insights from dendroecological studies of Arctic shrub dynamics: Research gaps and potential solutions C. Power et al. https://doi.org/10.1016/j.scitotenv.2022.158008
5. Visualizing seasonal habitats in river floodplains using timelapse photography and underwater video K. Myrvold & T. Holter https://doi.org/10.1007/s00027-025-01238-3
6. The changing face of the Arctic: four decades of greening and implications for tundra ecosystems G. Frost et al. https://doi.org/10.3389/fenvs.2025.1525574
7. Summer temperature—but not growing season length—influences radial growth of Salix arctica in coastal Arctic tundra J. Boyle et al. https://doi.org/10.1007/s00300-022-03074-9
8. Towards crop monitoring in agro-photovoltaic systems: An image-driven modeling approach for fAPAR-derived biomass estimation M. Moretta et al. https://doi.org/10.1016/j.eja.2025.127748
9. Initial Results of Site-Specific Assessment of Cereal Leaf Beetle (Oulema melanopus L.) Damage Using RGB Images by UAV F. Sári-Barnácz et al. https://doi.org/10.3390/rs18010058
10. Opportunities and Challenges in Combining Optical Sensing and Epidemiological Modeling A. Mikaberidze et al. https://doi.org/10.1094/PHYTO-11-24-0359-FI
11. Predictive modeling, pattern recognition, and spatiotemporal representations of plant growth in simulated and controlled environments: A comprehensive review M. Debbagh et al. https://doi.org/10.1016/j.plaphe.2025.100089
12. Leaf phenology as an indicator of ecological integrity L. Spafford et al. https://doi.org/10.1002/ecs2.4487
13. The northernmost hyperspectral FLoX sensor dataset for monitoring of high-Arctic tundra vegetation phenology and Sun-Induced Fluorescence (SIF) H. Tømmervik et al. https://doi.org/10.1016/j.dib.2023.109581
14. Winters are changing: snow effects on Arctic and alpine tundra ecosystems C. Rixen et al. https://doi.org/10.1139/as-2020-0058