Preparing the inputs for Modspa-Pixel
The processing chain requires a lot of inputs to run. For the pixel mode, all the inputs have to be in the same projection and on the same grid to get correct results (this is detailed in each section). For the parcel mode, a pandas DataFrame
is built by extracting and averaging input values on the parcel, for each date. This dataframe is then used to build a raster dataset that has the same global structure as an imput dataset for the pixel mode. Raw inputs are first downloaded (optical imagery, weather data, etc.) and then processed to get the inputs required for the SAMIR or SAFY models to run.
For large spatial windows or over long time windows, make sure to have enough disk space for all the input (raw and preprocessed).
Contents:
Warning
parcel mode scripts are currently in development.