forest-area-classifier
Forest Area Classification and Monitoring: A Technical Implementation Guide Using FAO Definition
Science Score: 44.0%
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Low similarity (10.0%) to scientific vocabulary
Repository
Forest Area Classification and Monitoring: A Technical Implementation Guide Using FAO Definition
Basic Info
- Host: GitHub
- Owner: bennyistanto
- License: mpl-2.0
- Language: Jupyter Notebook
- Default Branch: main
- Size: 886 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
Forest Area Classifier
A comprehensive guide and implementation for forest area classification and monitoring using FAO forest definition. This repository contains methodologies, code, and documentation for identifying and measuring forest areas through various classification approaches.
Overview
This project aims to: - Implement forest classification based on FAO's forest definition - Provide annual forest area measurements in hectares - Document methodologies and approaches for forest area classification - Offer reproducible workflows for forest monitoring
Documentation
Full documentation is available at [insert-github-pages-url].
Features
- Implementation of multiple classification methods
- Compliance with FAO forest definition criteria
- Annual forest area calculation
- Validation and accuracy assessment
- Comprehensive methodology documentation
- Reproducible Jupyter notebooks
Prerequisites
- Python 3.8+
- Required Python packages:
- jupyter
- numpy
- pandas
- scikit-learn
- (other dependencies will be listed in requirements.txt)
Getting Started
Clone the repository
bash git clone https://github.com/bennyistanto/forest-area-classifier.git cd forest-area-classifierInstall dependencies
bash pip install -r requirements.txtLaunch Jupyter notebook
bash jupyter notebook
Project Structure
forest-area-classifier/
├── docs/ # Documentation files
├── notebooks/ # Jupyter notebooks
├── data/ # Input/output data
├── scripts/ # Python scripts
├── tests/ # Unit tests
└── requirements.txt # Python dependencies
Owner
- Name: Benny Istanto
- Login: bennyistanto
- Kind: user
- Location: Indonesia
- Company: The World Bank
- Website: https://benny.istan.to
- Repositories: 4
- Profile: https://github.com/bennyistanto
Exploring Climate with GIS @worldbank
Citation (CITATION.cff)
cff-version: 1.2.0
message: "Country borders or names do not necessarily reflect the World Bank Group’s official position. All maps are for illustrative purposes and do not imply the expression of any opinion on the part of the World Bank, concerning the legal status of any country or territory or concerning the delimitation of frontiers or boundaries."
title: "World Bank Data Lab Project Template"
authors:
- affiliation: World Bank
family-names: Stefanini Vicente
given-names: Gabriel
orcid: https://orcid.org/0000-0001-6530-3780
keywords:
- Open Science
repository-code: https://github.com/worldbank/template/tree/main
GitHub Events
Total
- Public event: 1
- Push event: 12
- Pull request event: 3
- Create event: 5
Last Year
- Public event: 1
- Push event: 12
- Pull request event: 3
- Create event: 5
Dependencies
- actions/checkout v4 composite
- actions/deploy-pages v4 composite
- actions/setup-python v5 composite
- actions/upload-pages-artifact v3 composite
- actions/checkout v4 composite
- actions/download-artifact v4 composite
- actions/setup-python v5 composite
- actions/upload-artifact v4 composite
- pypa/gh-action-pypi-publish release/v1 composite
- bokeh >=3,<4
- pandas >=2
- pycountry >=22.3.5
- requests >=2.28.1