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With the integration of the CropSAR UDF into the FuseTS toolbox, users can now execute the CropSAR service using a local xarray datacube. However, currently, there is a lack of example code demonstrating the usage of this feature.
To maintain consistency and enhance user experience with the FuseTS toolbox, a new notebook needs to created, specifically dedicated to showcasing how to utilize the CropSAR UDF with a local datacube. This notebook will serve as a comprehensive guide, offering clear and concise instructions on how users can effectively apply the code to their own datasets.
The contents of the notebook will include:
Introduction: A brief overview of the CropSAR
Data Preprocessing: Instructions on preparing the local xarray datacube, ensuring it aligns with the requirements of the CropSAR UDF. This may involve loading, transforming, and aligning the data to match the desired input format.
Integration of CropSAR UDF: Detailed guidance on how to incorporate the CropSAR UDF into the data processing workflow. This section will encompass loading the UDF, specifying parameters, and interacting with the local datacube to execute the CropSAR service.
Data Visualization: Demonstrating effective ways to visualize the results obtained from the CropSAR service. This may involve generating plots, maps, or other visual representations of the processed data.
Conclusion: A summary of the notebook's content and an emphasis on the benefits of integrating CropSAR UDF into the FuseTS toolbox.
The text was updated successfully, but these errors were encountered:
With the integration of the CropSAR UDF into the FuseTS toolbox, users can now execute the CropSAR service using a local xarray datacube. However, currently, there is a lack of example code demonstrating the usage of this feature.
To maintain consistency and enhance user experience with the FuseTS toolbox, a new notebook needs to created, specifically dedicated to showcasing how to utilize the CropSAR UDF with a local datacube. This notebook will serve as a comprehensive guide, offering clear and concise instructions on how users can effectively apply the code to their own datasets.
The contents of the notebook will include:
The text was updated successfully, but these errors were encountered: