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

15 citations as recorded by crossref.

1. Sunflower crop yield prediction by advanced statistical modeling using satellite-derived vegetation indices and crop phenology K. Amankulova et al. 10.1080/10106049.2023.2197509
2. 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. 10.1007/s11119-020-09749-9
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. Optimizing Wheat Yield Prediction Integrating Data from Sentinel-1 and Sentinel-2 with CatBoost Algorithm A. Uribeetxebarria et al. 10.3390/rs15061640
6. Monitoring of phenological stage and yield estimation of sunflower plant using Sentinel-2 satellite images O. Narin & S. Abdikan 10.1080/10106049.2020.1765886
7. Monitoring rice lodging grade via Sentinel-2A images based on change vector analysis Q. Sun et al. 10.1080/01431161.2021.2012293
8. Extracting Tea Plantations from Multitemporal Sentinel-2 Images Based on Deep Learning Networks Z. Yao et al. 10.3390/agriculture13010010
9. 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
10. Faulting and Lithological Features in Vegetation Distribution: A Remote Sensing Asisted Case Study from SE Turkey Y. ÖZTÜRK et al. 10.30897/ijegeo.1138059
11. A Geographically Weighted Random Forest Approach to Predict Corn Yield in the US Corn Belt S. Khan et al. 10.3390/rs14122843
12. 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. 10.1117/1.JRS.14.026524
13. 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
14. 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
15. 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