Search Results for author:
Found 1 papers, 0 papers with code
Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning
Ultimately, this study contributes to our knowledge of the relationships between soil temperature, meteorological variables, and vegetation phenology, providing valuable insights for predicting vegetation phenology characteristics and managing subarctic grasslands in the face of climate change.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
