FUSION OF SENTINEL-2 AND PLANETSCOPE IMAGERY FOR VEGETATION DETECTION AND MONITORING

14 citations as recorded by crossref.

1. Agricultural growth and land use land cover change in peri-urban India S. Patel et al. 10.1007/s10661-019-7736-1
2. Intercropping Classification From GF-1 and GF-2 Satellite Imagery Using a Rotation Forest Based on an SVM P. Liu & X. Chen 10.3390/ijgi8020086
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5. Soybean seed composition prediction from standing crops using PlanetScope satellite imagery and machine learning S. Sarkar et al. 10.1016/j.isprsjprs.2023.09.010
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9. Fusion of PlanetScope and Sentinel 2 in assessing foliar C:N ratio in a rangeland A. Arogoundade et al. 10.1080/14498596.2023.2229274
10. Early season irrigation detection and evapotranspiration modeling of winter vegetables based on Planet satellite using water and energy balance algorithm in lower Colorado basin R. Dhungel et al. 10.1007/s00271-023-00874-7
11. Fusion of Sentinel-2 and PlanetScope time-series data into daily 3 m surface reflectance and wheat LAI monitoring Y. Sadeh et al. 10.1016/j.jag.2020.102260
12. Planetscope Nanosatellites Image Classification Using Machine Learning M. Anul Haq 10.32604/csse.2022.023221
13. A Fusion Approach for Water Area Classification Using Visible, Near Infrared and Synthetic Aperture Radar for South Asian Conditions S. Ahmad et al. 10.1109/TGRS.2019.2950705
14. Effects of Satellite Revisit Rate and Time-Series Smoothing Method on Throughout-Season Maize Yield Correlation Accuracy E. Myers et al. 10.1109/JSTARS.2021.3129148