Comments (4)
i checked and tested the the rio-tiler
and rio_tiler.mosaic
module can be used to create a mercator tile from multiple observations . For showing the portions of overlap in tile from multiple assets, pixel could be chosen from multiple datasets. rio-tiler.mosaic
module provides pixel selection methods which define how to handle different cases for the pixel.
First
, Highest
, Lowest
, Mean
, Median
,
Stdev
: compute the standard deviation value of the whole stack,
LastBandHigh
: Use last band (highest) as a decision factor
LastBandLow
: Use last band (lowest) as a decision factor
from ukis-pysat.
Image mosaicing is a very good point and would be highly beneficial for many applications. After a discussion with @BoehnkeC we thought about an idea that would bring this to a higher level and could provide potentially an added value compared to plain rasterio
functionality could be to think of this in terms of an ImageCollection
. We could implement this as a new class that collects multiple Image
instances. Within this class we could implement generic placement and geometry methods and connect this with above mentioned mosaicing method. Beyond a horizontal mosaicing we could also use such a class to stack Image
instances vertically to carry out timeseries analysis (or simple bandstacks). Let's further discuss this option here and think about a possible class structure before starting to implement further.
from ukis-pysat.
@BoehnkeC would this help you already: https://cogeotiff.github.io/rio-tiler/mosaic/?
More information about COGs and mosaics or about the newest release of rio-tiler
.
from ukis-pysat.
Agree, this looks nice and should be used before we do anything here.
from ukis-pysat.
Related Issues (20)
- Use mock requests for testing
- Fix skipped unittests
- According to Specs Wrong datetime used
- Querying metadata should return an iterator instead of a catalog
- Test different STAC API endpoints HOT 1
- Evaluate stactools HOT 5
- Remove platform from download_image()
- Evaluate more STAC extensions HOT 1
- Expose streaming possibility HOT 2
- download_image error using EarthExplorer
- Update OA hub URL
- Update Readme HOT 1
- Add tests for #144
- Download Method Conflict in SCIHUB and EARTHEXPLORER HOT 3
- Follow STAC best practices HOT 3
- Use pystac-client instead of own implementation HOT 2
- Properly use USGS M2M also for downloading
- Update dependencies
- Sentinel-2 DN2TOA conversion incorrect for images after January 2022
- Deprecate Data HOT 1
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from ukis-pysat.