ASSESSING CROP MONITORING POTENTIAL OF SENTINEL-2 IN A SPATIO-TEMPORAL SCALE

20 citations as recorded by crossref.

1. Enhancing Crop Mapping Precision through Multi-Temporal Sentinel-2 Image and Spatial-Temporal Neural Networks in Northern Slopes of Tianshan Mountain X. Zhang et al. 10.3390/agronomy13112800
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3. Assessing the spatial variation of cropping intensity using multi-temporal Sentinel-2 data by rule-based classification A. Ghosh et al. 10.1007/s10668-021-01885-0
4. Assessment of rice crop biophysical parameters using Sentinel-1 C-band SAR data A. Kushwaha et al. 10.1016/j.asr.2022.02.021
5. Monitoring of phenological stage and yield estimation of sunflower plant using Sentinel-2 satellite images O. Narin & S. Abdikan 10.1080/10106049.2020.1765886
6. Extracting Tea Plantations from Multitemporal Sentinel-2 Images Based on Deep Learning Networks Z. Yao et al. 10.3390/agriculture13010010
7. Yozgat İli NDVI Yersel ve Zamansal Değişiminin Uydu Görüntüleri Yardımıyla Tespit Edilmesi Ö. Karaca 10.59128/bojans.1576006
8. Faulting and Lithological Features in Vegetation Distribution: A Remote Sensing Asisted Case Study from SE Turkey Y. Öztürk et al. 10.30897/ijegeo.1138059
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10. Synergy of optical and synthetic aperture radar data for early-stage crop yield estimation: a case study over a state of Germany P. Ghosh et al. 10.1080/10106049.2022.2039306
11. The Biomass Proxy: Unlocking Global Agricultural Monitoring through Fusion of Sentinel-1 and Sentinel-2 R. Burger et al. 10.3390/rs16050835
12. Selection of Hyperspectral Vegetation Indices for Monitoring Yield and Physiological Response in Sweet Maize under Different Water and Nitrogen Availability M. Sellami et al. 10.3390/agronomy12020489
13. Evaluating the efficiency of coarser to finer resolution multispectral satellites in mapping paddy rice fields using GEE implementation M. Waleed et al. 10.1038/s41598-022-17454-y
14. Assessment of red-edge based vegetation indices for crop yield prediction at the field scale across large regions in Australia D. Al-Shammari et al. 10.1016/j.eja.2024.127479
15. Optimizing Wheat Yield Prediction Integrating Data from Sentinel-1 and Sentinel-2 with CatBoost Algorithm A. Uribeetxebarria et al. 10.3390/rs15061640
16. Monitoring rice lodging grade via Sentinel-2A images based on change vector analysis Q. Sun et al. 10.1080/01431161.2021.2012293
17. Leveraging Google Earth Engine to estimate foliar C: N ratio in an African savannah rangeland using Sentinel 2 data A. Arogoundade et al. 10.1016/j.rsase.2023.100981
18. A Geographically Weighted Random Forest Approach to Predict Corn Yield in the US Corn Belt S. Khan et al. 10.3390/rs14122843
19. Spatial and Temporal Biomass and Growth for Grain Crops Using NDVI Time Series E. Perry et al. 10.3390/rs14133071
20. Bartın’daki Sahil Çamı (Pinus pinaster Ait.) Ağaçlandırma Alanlarında Sentinel-1 ve Sentinel-2 Uydu Görüntüleri Kullanılarak Toprak Üstü Biyokütlenin Kestirilmesi E. ÖZDEMİR et al. 10.48123/rsgis.1327406