https://github.com/brazil-data-cube/lccs-db
Land Cover Classification System Database Model
https://github.com/brazil-data-cube/lccs-db
database earth-science geospatial gis land-cover land-cover-classification land-use postgresql
Last synced: about 1 year ago
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Land Cover Classification System Database Model
- Host: GitHub
- URL: https://github.com/brazil-data-cube/lccs-db
- Owner: brazil-data-cube
- License: gpl-3.0
- Created: 2019-11-22T19:32:40.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2024-01-29T17:19:12.000Z (over 2 years ago)
- Last Synced: 2025-04-12T01:55:57.032Z (about 1 year ago)
- Topics: database, earth-science, geospatial, gis, land-cover, land-cover-classification, land-use, postgresql
- Language: Python
- Homepage:
- Size: 1.7 MB
- Stars: 4
- Watchers: 5
- Forks: 6
- Open Issues: 2
-
Metadata Files:
- Readme: README.rst
- Changelog: CHANGES.rst
- License: LICENSE
Awesome Lists containing this project
README
..
This file is part of LCCS-DB.
Copyright (C) 2024 INPE.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see .
===============================================
Land Cover Classification System Database Model
===============================================
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.. role:: raw-html(raw)
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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.
**LCCS-DB** (**L**\ and **C**\ over **C**\ lassification **S**\ystem **D**\ ata\ **b**\ ase) provides a data model that represents the various classification systems in use and their respective classes. The LCCS-DB aims to provide a data repository to facilitate access and visualization of classes and their symbologies in each classification system employed in projects that provide land use and land cover maps in Brazil: `PRODES `_, `DETER `_, `TerraClass `_ and MapBiomas.
In addition, the LCCS-DB allows mapping between classes of classification systems in order to simplify joint data analysis.
The following diagram shows the tables used in this system:
.. image:: https://github.com/brazil-data-cube/lccs-db/raw/master/docs/spec/lccs_database.png
:target: https://github.com/brazil-data-cube/lccs-db/tree/master/docs/spec
:width: 90%
:alt: Database Schema
:raw-html:`
`
This is the base package for other softwares in the Brazil Data Cube project:
- `LCCS-WS-SPEC `_: Land Cover Classification System Web Service specification.
- `LCCS-WS `_: Land Cover Classification System Web Service implementation.
- `LCCS.py `_: Python Client Library for Land Cover Classification System Web Service.
- `WLTS-SPEC `_: Web Land Trajectory Service Specification.
- `WLTS.py `_: Python Client Library for Web Land Trajectory Service.
- `BDC-Catalog `_: Brazil Data Cube Image Metadata Catalog.
Installation
============
Install from GitHub::
pip3 install git+https://github.com/brazil-data-cube/lccs-db@v0.8.2
Documentation
=============
See https://lccs-db.readthedocs.io/en/latest/
License
=======
.. admonition::
Copyright (C) 2023 INPE.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.