vegardhaneberg/SpecializationProject
A machine learning approach to soil moisture estimation using NASA's CYGNSS data.
This project helps environmental scientists and hydrologists estimate soil moisture levels. By analyzing satellite data from NASA's CYGNSS mission, it produces predictions of soil moisture, offering valuable insights for drought monitoring, agricultural planning, and water resource management. Researchers and practitioners focused on Earth observation and environmental modeling would find this useful.
No commits in the last 6 months.
Use this if you need to estimate soil moisture over large areas using satellite remote sensing data without extensive manual processing.
Not ideal if you require real-time, ground-level soil moisture measurements for a very small, specific plot of land.
Stars
15
Forks
2
Language
Python
License
MIT
Category
Last pushed
Dec 19, 2021
Commits (30d)
0
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