Skip to main content

.

Project description

Software License Documentation Status Software Life Cycle Release Join us at Discord

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

See https://lccs.readthedocs.io/en/latest/.

License

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lccs-1.0.1.tar.gz (129.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

lccs-1.0.1-py3-none-any.whl (47.9 kB view details)

Uploaded Python 3

File details

Details for the file lccs-1.0.1.tar.gz.

File metadata

  • Download URL: lccs-1.0.1.tar.gz
  • Upload date:
  • Size: 129.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.13

File hashes

Hashes for lccs-1.0.1.tar.gz
Algorithm Hash digest
SHA256 f620d5335ca65fb1db992b9804f4343838c5adcdfe5899ff491f69997d4270f8
MD5 fa29e0451dee0d495b9ee0d95b4655ba
BLAKE2b-256 61a7b5a487dcd52a7396338c276376907b4c8c971e5adadca0efab381b5fa180

See more details on using hashes here.

File details

Details for the file lccs-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: lccs-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 47.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.13

File hashes

Hashes for lccs-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 f05d673a673574ead2913ff3ffd388880b3fe24a8c379e255c6d257b3286a8e2
MD5 e72c2c8bf85f265e6094d4e1cfb96402
BLAKE2b-256 d326e925c38d3eff2ed3c8d1b22fc5549de2d178c79f67708b8399e75ef788b5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page