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Search results for jupyter notebook soil moisture

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3 search results found

Hyperspectral Soilmoisture Dataset ⭐ 21

Hyperspectral and soil-moisture data from a field campaign based on a soil sample. Karlsruhe (Germany), 2017.

SOMOSPIE (Soil Moisture Spatial Inference Engine) consists of a Jupyter Notebook and a suite of machine learning methods to process inputs of available coarse-grained soil moisture data at its native spatial resolution. Features include the selection of a geographic region of interest, prediction of missing values across the entire region of interest (i.e., gap-filling), analysis of generated fine-grained predictions, and visualization of both predictions and analyses.

Netcdf_open_visualize_csv ⭐ 5

Opening and visualizing a netCDF file in Python

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