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

19 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
3. Spatial and Temporal Pasture Biomass Estimation Integrating Electronic Plate Meter, Planet CubeSats and Sentinel-2 Satellite Data J. Gargiulo et al. 10.3390/rs12193222
4. Recognition of Areca Leaf Yellow Disease Based on PlanetScope Satellite Imagery J. Guo et al. 10.3390/agronomy12010014
5. New Generation Hyperspectral Data From DESIS Compared to High Spatial Resolution PlanetScope Data for Crop Type Classification I. Aneece et al. 10.1109/JSTARS.2022.3204223
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7. Assessing the effectiveness of PlanetScope synthesized panchromatic bands for spatial enhancement of Sentinel-2 data G. Kaplan 10.1117/1.JRS.14.036504
8. A robust and adaptive spatial-spectral fusion model for PlanetScope and Sentinel-2 imagery Y. Zhao & D. Liu 10.1080/15481603.2022.2036054
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10. Fusion of PlanetScope and Sentinel 2 in assessing foliar C:N ratio in a rangeland A. Arogoundade et al. 10.1080/14498596.2023.2229274
11. 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
12. Estimating and Monitoring Land Surface Phenology in Rangelands: A Review of Progress and Challenges T. Matongera et al. 10.3390/rs13112060
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14. 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
15. Planetscope Nanosatellites Image Classification Using Machine Learning M. Anul Haq 10.32604/csse.2022.023221
16. 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
17. Fine-Scale Phenology of Urban Trees From Satellite Image Time Series: Toward a Comprehensive Analysis of Influencing Factors C. Bressant et al. 10.1109/JSTARS.2024.3411304
18. Optimizing urban critical green space development using machine learning M. Ganjirad et al. 10.1016/j.scs.2025.106158
19. 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