3 posts
Process large satellite rasters in Python with dask and rioxarray. Open eight full Sentinel-2 scenes lazily, choose a chunk size, inspect the task graph, watch CPU and memory with dask diagnostics, compare peak memory with eager NumPy, time chunk sizes and thread counts, and write a median NDVI GeoTIFF to disk chunk by chunk.
Create a satellite timelapse in Python from free Sentinel-2 imagery. Select clear scenes with STAC, mask cloud, build one median composite per summer, apply a consistent stretch, add date labels and a scale bar, and export an animated GIF, WebP and MP4 of eleven years of construction at Hinkley Point C.
Mask clouds and cloud shadows in Sentinel-2 L2A imagery with Python. Compare the Scene Classification Layer (SCL), s2cloudless, OmniCloudMask and a simple threshold over the Lake District, measure how far they agree, score them against 186 reference points and build a cloud-free median composite.