THE COMBINATION OF UAV SURVEY AND LANDSAT IMAGERY FOR MONITORING OF CROP VIGOR IN PRECISION AGRICULTURE

11 citations as recorded by crossref.

1. Exploring the potential of SCAT-SAR SWI for soil moisture retrievals at selected COSMOS-UK sites O. Howells et al. 10.1080/01431161.2021.1988185
2. Artificial Intelligence Integration with Nanotechnology: A New Frontier for Sustainable and Precision Agriculture S. Ashique et al. 10.2174/0115734137275111231206072049
3. Exploring the Potential Use of Sentinel-1 and 2 Satellite Imagery for Monitoring Winter Wheat Growth under Agricultural Drought Conditions in North-Western Poland A. Jędrejek & R. Pudełko 10.3390/agriculture13091798
4. Effect of Atmospheric Corrections on NDVI: Intercomparability of Landsat 8, Sentinel-2, and UAV Sensors D. Moravec et al. 10.3390/rs13183550
5. Crop stage classification using supervised algorithm based on UAV and Landsat 8 image A. Hardanto et al. 10.1088/1755-1315/653/1/012102
6. Lake imaging and monitoring aerial drone J. Liardon et al. 10.1016/j.ohx.2017.10.003
7. Detection of irrigation inhomogeneities in an olive grove using the NDRE vegetation index obtained from UAV images J. Jorge et al. 10.1080/22797254.2019.1572459
8. UAV Remote Sensing for Detecting within-Field Spatial Variation of Winter Wheat Growth and Links to Soil Properties and Historical Management Practices. A Case Study on Belgian Loamy Soil D. Goffart et al. 10.3390/rs14122806
9. Integrating satellite data with a Nitrogen Nutrition Curve for precision top-dress fertilization of durum wheat C. Fabbri et al. 10.1016/j.eja.2020.126148
10. Impact of Training Set Configurations for Differentiating Plantation Forest Genera with Sentinel-2 Imagery and Machine Learning C. Higgs & A. van Niekerk 10.3390/rs14163992
11. Evaluating the Performance of Airborne and Ground Sensors for Applications in Precision Agriculture: Enhancing the Postprocessing State-of-the-Art Algorithm K. Pavelka et al. 10.3390/s22197693