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Accurate monitoring of crop phenology is essential for yield estimation, growing season modeling, and climate adaptation in agriculture. While freely available satellite archives provide broad spatial coverage, their temporal frequency is often insufficient for capturing the rapid phenological transitions characteristic of crops. This study addresses that gap through a multitemporal analysis of the Normalized Difference Vegetation Index (NDVI) derived from a time series of 119 PlanetScope satellite images at 3 m s...

This study compares multiple approaches for surface water mapping using multi-sensor satellite data. Open-access imagery from Sentinel-2 (optical) and Sentinel-1 (SAR) was used for three study sites in Bulgaria. The optical dataset consisted of three Level-2A images acquired under near cloud-free conditions, while the radar dataset included three Ground Range Detected images acquired on dates closest to the optical imagery. Surface water extraction was performed using single- and multi-index approaches for the opt...