Seamless Satellite Image Mosaics from SpatioTemporal Asset Catalog
About
smosaic is a free and open-source tool for building Analysis-Ready Data (ARD) seamless satellite image mosaics directly from STAC, designed for analysts without deep programming knowledge. The system connects to STAC catalogs from Brazil Data Cube (BDC), Digital Earth Africa, Swiss Data Cube, Amazon Web Services (AWS) and Microsoft Planetary Computer, and can incorporate more catalogs.
Installation
See Installation.
Changes
See Changes.
Using smosaic in the Command Line
See Command Line.
Documentation
References
WIP
License
Release files for smosaic 0.9.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| smosaic-0.9.1.tar.gz | 6.0 MB | Without provenance | Details for smosaic-0.9.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| smosaic-0.9.1-py3-none-any.whl | Python 3 | none | any | Details for smosaic-0.9.1-py3-none-any.whl |
Total release size: 12.1 MB
Release files / smosaic-0.9.1.tar.gz
| Download URL | smosaic-0.9.1.tar.gz |
|---|---|
| Size | 6.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2a02aaef5e9a58751c9c076641b10039f72ef96f91c441ad2e3d44296f15edbe
|
|
BLAKE2b-256 checksum How to use checksums |
22464ed485b511676ed45669655f7dd43a9d9fab08c92dbe6713ebf49e7d4c56
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.2
|
Release files / smosaic-0.9.1-py3-none-any.whl
| Download URL | smosaic-0.9.1-py3-none-any.whl |
|---|---|
| Size | 6.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
80b6458d2d54e537d5591c86dbc9f373dec61d7a328cf5cd9304332ef57ba8da
|
|
BLAKE2b-256 checksum How to use checksums |
bf0b547eec8d584b426244d27ed745ff50514b07dbca545328d6f4ba40816325
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.2
|
Security for smosaic 0.9.1
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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