Google Earth Engine in QGIS | Cloud-Free Sentinel-2 Water Mapping (NDWI & DSWE)

Описание: This video shows how to run Google Earth Engine inside QGIS to create cloud-free Sentinel-2 composites and detect surface water using NDWI and DSWE.

In this workflow, a polygon drawn directly in QGIS is used as the area of interest. Sentinel-2 imagery is loaded for the selected time period, clouds and cloud shadows are removed using cloud probability and SCL information, a clean RGB composite is generated, and water is detected using NDWI and DSWE — all within a single QGIS project.

The processing logic follows the same approach demonstrated in previous videos on this channel, where the workflow is explained in detail inside Google Earth Engine. In this video, the focus is not on explaining each function, but on showing how the same Earth Engine workflow can be executed directly in QGIS and integrated into a practical GIS analysis pipeline.

The resulting layers allow visual verification of cloud removal and water detection by comparing water masks with cloud-free RGB imagery. From this point, the data can be further analyzed in QGIS, including area calculations, temporal analysis, spatial comparisons, and exporting results for external use.

In the next video, I’ll show how to turn these layers into an interactive web map.

#QGIS #GoogleEarthEngine #RemoteSensing #GIS #Sentinel2 #WaterMapping #NDWI #DSWE #SatelliteImagery #Geospatial