How to project and identify the dates of the positive anomalies.

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.

Answer 1

[Rijuta]

Hi Bernard,

I understand that you want to project and identify the dates of positive anomalies. Kindly follow the steps below:

1. Load the LST data.
2. Calculate anomalies by finding the difference of the LST data with the baseline data.
3. Define the threshold for positive anomalies.
4. Identify dates of positive anomalies based on this threshold.
5. Visualize the positive anomalies on a graph or map.

For more details on anomaly detection, refer the documentation: Anomaly Detection - MATLAB & Simulink (mathworks.com)

I hope this solves your query.