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

23 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.
2. Early cereal yield prediction using machine learning and Sentinel-1 & Sentinel-2 satellite data A. Chahbi-Bellakanji et al.
3. Effects of spatial, temporal, and spectral resolutions on the estimation of wheat and barley leaf area index using multi- and hyper-spectral data (case study: Karaj, Iran) Y. Afrasiabian et al.
4. Assessing the spatial variation of cropping intensity using multi-temporal Sentinel-2 data by rule-based classification A. Ghosh et al.
5. Assessment of rice crop biophysical parameters using Sentinel-1 C-band SAR data A. Kushwaha et al.
6. Monitoring of phenological stage and yield estimation of sunflower plant using Sentinel-2 satellite images O. Narin & S. Abdikan
7. Extracting Tea Plantations from Multitemporal Sentinel-2 Images Based on Deep Learning Networks Z. Yao et al.
8. Yozgat İli NDVI Yersel ve Zamansal Değişiminin Uydu Görüntüleri Yardımıyla Tespit Edilmesi Ö. Karaca
9. Faulting and Lithological Features in Vegetation Distribution: A Remote Sensing Asisted Case Study from SE Turkiye Y. Öztürk et al.
10. Hierarchical classification of Sentinel 2-a images for land use and land cover mapping and its use for the CORINE system D. Demirkan et al.
11. 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.
12. The Biomass Proxy: Unlocking Global Agricultural Monitoring through Fusion of Sentinel-1 and Sentinel-2 R. Burger et al.
13. Selection of Hyperspectral Vegetation Indices for Monitoring Yield and Physiological Response in Sweet Maize under Different Water and Nitrogen Availability M. Sellami et al.
14. Evaluating the efficiency of coarser to finer resolution multispectral satellites in mapping paddy rice fields using GEE implementation M. Waleed et al.
15. 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.
16. Optimizing Wheat Yield Prediction Integrating Data from Sentinel-1 and Sentinel-2 with CatBoost Algorithm A. Uribeetxebarria et al.
17. Monitoring rice lodging grade via Sentinel-2A images based on change vector analysis Q. Sun et al.
18. Exploitation of Sentinel-2 Spectral Bands and Vegetation Indices in Potato Yield Estimation M. Amin et al.
19. Improving Yield Prediction and Decision-Making in Mediterranean Vineyards Using Machine Learning on Multisource Remote Sensing and Soil Data J. González-Vivar et al.
20. A Geographically Weighted Random Forest Approach to Predict Corn Yield in the US Corn Belt S. Khan et al.
21. Spatial and Temporal Biomass and Growth for Grain Crops Using NDVI Time Series E. Perry et al.
22. 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.
23. Impact assessment of TPLF invasion on irrigated agriculture by using remote sensing approach in the Eastern Amhara, Ethiopia D. Mebrie & Y. Kassie