Animated GIFs from CBERS data on AWS.
WIP project, check landsatgif and sentinelgif for related projects.
The animation typically needs to be generated in at least two passes, the first pass is used to visualize all available images and filter out a set of undesired images from the final animation.
The command below for instance shows all available MUX images from 2013-01-01 to 2019-03-04 covering coordinate (lon, lat) = (-56.01551, -12.8379). The images are cropped in a bounding box centered on the coordinate; width height of 20 km and 80m resolution. Each frame in the mux_first_pass.gif file has a
duration of 0.5s in the animation. Only L4 (ortho) images are selected.
For details on the other options use the --help option.
cbersgif --lat -12.8379 --lon -56.01551 --sensor MUX --start_date 2013-01-01 --end_date 2019-03-04 --max_images 50 --enhancement --buffer_size=20000 --res=80 --duration=0.5 --output=mux_first_pass.gif
Once this first gif is generated we may filter out undesired scenes by
specifying their index number in a taboo_index parameter. The index
is shown for each frame in the animated gif. Frames are cached by default so
this second run is much faster than the first one.
cbersgif --lat -12.8379 --lon -56.01551 --sensor MUX --start_date 2013-01-01 --end_date 2019-03-04 --max_images 50 --enhancement --buffer_size=20000 --res=80 --duration=0.5 --output=mux_second_pass.gif --taboo_index=3,4,5,6,9,11,20,22,26
The second pass results is:
The following example uses coordinates from one of INPE's monitoring programs.
cbersgif --lat -7.425944444444445 --lon -45.03827777777778 --sensor MUX --max_images 50 --buffer_size=4000 --res=20 --duration=0.5 --enhancement --start_date='2017-01-01' --taboo_index=9
Results in:
Tested with python 3.7.9
pip install -r requirements.txt
AWS access credentials must be available. Note that charges apply to data access.
Requires setting the AWS_REQUESTER_PAYER env var to be set:
AWS_REQUEST_PAYER=requester