About
Currently, there are several data sets on regional, national and global scales with information on land use and land cover that aim to support a large number of applications, including the management of natural resources, climate change and its impacts, and biodiversity conservation. These data products are generated using different approaches and methodologies, which present information about different classes of the earth’s surface, such as forests, agricultural plantations, among others. Initiatives that generate land use and land cover maps normally develop their own classification system, with different nomenclatures and meanings of the classes used.
In this context, the LCCS-WS (Land Cover Classification System Web Service) aims to provide a simple interface to access the various classification systems in use and their respective classes. Therefore, this service proposes a representation for the classification systems and provides an API to access the classes and their symbolizations. It is also possible to stablish mappings between classes of different systems.
If you want to know more about LCCS service, please, take a look at its specification.
Installation
See INSTALL.rst.
Developer Documentation
License
2 maintainers
Release files for lccs 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lccs-1.0.2.tar.gz | 60.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lccs-1.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 88.5 kB
Release files / lccs-1.0.2.tar.gz
| Download URL | lccs-1.0.2.tar.gz |
|---|---|
| Size | 60.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Yes |
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twine/6.1.0 CPython/3.13.7
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Transparency logRelease files / lccs-1.0.2-py3-none-any.whl
| Download URL | lccs-1.0.2-py3-none-any.whl |
|---|---|
| Size | 28.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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