6 citations as recorded by crossref.

1. Deep Learning Applications in Remote Sensing for Forest Inventory Methods C. Ardohain et al. https://doi.org/10.3390/rs18152490
2. Exploring the use of thermal neutron counts to track orchard phenological development S. Al-Mashharawi et al. https://doi.org/10.3389/frwa.2026.1749654
3. Multi-Source Remote Sensing Data Fusion for Aboveground Biomass Estimation in Tropical Forests: Recent Advances, Challenges, and Future Trends Q. Meng et al. https://doi.org/10.1109/ACCESS.2025.3649092
4. Mapping Olive Crops (Olea europaea L.) in the Atacama Desert (Peru): An Integration of UAV-Satellite Multispectral Images and Ensemble Machine Learning Models E. Pino-Vargas et al. https://doi.org/10.3390/agriengineering8010009
5. Climate-Smart Framework for Olive Yield Estimation: Integrating Soil Properties, Thermal Time, and Remote Sensing NDVI Time Series R. Gutiérrez-Cabrera et al. https://doi.org/10.3390/agronomy16070722
6. Challenges in soil carbon modelling and measurement: a decade of experimental data vs. RothC simulations in an organic olive grove F. Contreras et al. https://doi.org/10.5194/soil-12-773-2026