- Load the LST data.
- Calculate anomalies by finding the difference of the LST data with the baseline data.
- Define the threshold for positive anomalies.
- Identify dates of positive anomalies based on this threshold.
- Visualize the positive anomalies on a graph or map.
How to project and identify the dates of the positive anomalies.
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I am learning drought analysis, and while I have done graphing the LST, I am stumped on how to project and identify the dates of the positive anomalies.
I have attached below the necessary files to run the code "LST_STDAnom.m", but due to their sizes exceeding 5mb, I archived them to .zip files.
Shaperead and maskregion was used in the code.
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Rijuta
am 8 Sep. 2023
Hi Bernard,
I understand that you want to project and identify the dates of positive anomalies. Kindly follow the steps below:
For more details on anomaly detection, refer the documentation: Anomaly Detection - MATLAB & Simulink (mathworks.com)
I hope this solves your query.
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