JohnNay/forecastVeg
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
This tool helps farmers, water managers, and others by providing short-term forecasts of vegetation health at a high spatial resolution. It takes freely available NASA satellite data as input and produces predictions of future vegetation health. This is ideal for professionals who need to anticipate drought conditions and manage their resources effectively.
No commits in the last 6 months.
Use this if you need to accurately forecast vegetation health to better manage water resources or agricultural planning.
Not ideal if you lack access to a powerful computer with significant RAM (over 100 GB) for data processing or if you need to perform real-time, instantaneous forecasting.
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51
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Language
Python
License
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Category
Last pushed
Feb 22, 2021
Commits (30d)
0
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