# clms-hrvpp-tools-python

**Repository Path**: mirrors_eea/clms-hrvpp-tools-python

## Basic Information

- **Project Name**: clms-hrvpp-tools-python
- **Description**: Tools for using high-resolution vegetation phenology and productivity (HR-VPP) data from Copernicus Land Service
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-11-04
- **Last Updated**: 2026-03-29

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# clms-hrvpp-tools-python
Python code and notebooks for using high-resolution vegetation phenology and productivity (HR-VPP) data from Copernicus Land Service.

## Data download
HR-VPP data can be downloaded using the WekEO portal and the WekEO HDA (Harmonzied Data Access) API. [This notebook](https://github.com/eea/clms-hrvpp-tools-python/blob/main/HRVPP_hda_demo/HRVPP%20hda%20demo.ipynb) shows how to use the WekEO HDA.

Next to that, an OpenSearch service is available to query the available HR-VPP datasets. When running on the CreoDIAS (CloudFerro) cloud, the data can be downloaded from the 'HRVPP' S3 bucket as shown in [this notebook](https://github.com/eea/clms-hrvpp-tools-python/blob/main/HRVPP_opensearch_demo/HRVPP%20overlay%20bucket%20demo.ipynb).