---
title: Geodata Harvester App
emoji: 📉
colorFrom: purple
colorTo: green
sdk: streamlit
sdk_version: 1.21.0
app_file: app.py
pinned: false
license: lgpl-3.0
duplicated_from: sebsigma/geodata-harvester-app
---

# Geodata-Harvester App

This is a streamlit webapp for the Geodata-Harvester to jumpstart geospatial analysis.

The Data Harvester provides an automatic geodata extraction and processing pipeline:

1. Retrieve: given set of locations, automatically access and download multiple data sources (APIs) from a diverse range of geospatial and soil data sources
2. Process: Spatial and temporal processing, conversion to dataframes and custom raster-files
3. Output: Ready-made dataset for machine learning (training set and prediction mapping)


For more details about the Geodata-Harvester, please see the [Project Page](https://sydney-informatics-hub.github.io/geodata-harvester/).

## More information:
- [Overview of Data Sources](https://github.com/Sydney-Informatics-Hub/geodata-harvester/blob/main/quarto/docs/Data_Overview.md)
- [Settings Overview](https://github.com/Sydney-Informatics-Hub/geodata-harvester/blob/main/quarto/docs/Settings_Overview.md)
- [Python Package](https://github.com/Sydney-Informatics-Hub/geodata-harvester)
- [R Package](https://github.com/Sydney-Informatics-Hub/dataharvester)

Author: Seb Haan