Published November 30, 2022
| Version v1
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Forecasting Cropland Vegetation Condition Notebook
- Creators
- Digital Earth Africa
Description
Jupyter Notebooks allows for users to document their workflow in a single place in the form of a notebook. This notebook can include executable code, text elements and results. Access to DE Africa's Jupyter Notebooks can be accessed through a standard web browser. The Forecasting Cropland Vegetation Condition Notebook contains cells with text annotations, Python code, and results from running the code.
Running this notebook will result in multiple products including:
- The NDVI time-series forecast
The Forecasting Cropland Vegetation Condition notebook can be accessed through https://sandbox.digitalearth.africa/
This is a component for the application named Forecasting Cropland Vegetation Condition using Digital Earth Africa Data Cube.
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- Created
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2022-11-30