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It is proposed to introduce raster collections into the EnMAP-Box data model to manage bigger sets of raster layers (e.g. EnMAP images for a whole country or continent) efficiently. By managing, we refere to:
filter spatially
filter temporally
filter by metadata
Technically, we can just use standard QGIS vector layers for describing raster collection:
each feature referes to a single raster
feature geometry is the bounding polygon (or bounding box) of the raster
required attributes are:
raster source
optional attributes are:
start_date, end_date
mask_source (external mask associated with the raster)
any other type of metadata
Raster collections will be used in the ARD > Aggregate raster layers and other algorithms.
Also, we should have an algorithm that creates a Raster Collection by parsing a folder recursively for raster layers.
The text was updated successfully, but these errors were encountered:
@jakimowb, I was also thinking about implementing a custom RasterDataProvider for exploring a raster collection.
The provider would be initialized with the raster collection and a desired pixel grid (extent, crs and resolusion). Afterwards the provider can be used for data visualization and reading data with on-the-fly resampling, warping and aggregation (simple mosaicking or more complex aggregations like mean, median etc.).
It is proposed to introduce raster collections into the EnMAP-Box data model to manage bigger sets of raster layers (e.g. EnMAP images for a whole country or continent) efficiently. By managing, we refere to:
Technically, we can just use standard QGIS vector layers for describing raster collection:
Raster collections will be used in the ARD > Aggregate raster layers and other algorithms.
Also, we should have an algorithm that creates a Raster Collection by parsing a folder recursively for raster layers.
The text was updated successfully, but these errors were encountered: