Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
We should store all the data that are time-consuming (at least not immediate) and lightweight (floats or even vectors) in order to speed up the recomputation.
These would be computed only if needed.
Hereunder is a premilinary list (for product):
extent
footprint
mean_az, mean_el
crs
default_transform
And why not:
condensed_name
datetime
date
Other product_classes could have others to add.
They could be accessed as regular members through a @property -> this will break things !
We should store all the data that are time-consuming (at least not immediate) and lightweight (floats or even vectors) in order to speed up the recomputation. These would be computed only if needed.
Hereunder is a premilinary list (for product):
extent
footprint
mean_az
,mean_el
crs
default_transform
And why not:
condensed_name
datetime
date
Other product_classes could have others to add.
They could be accessed as regular members through a
@property
-> this will break things !