Vegetation Change Detection using Digital Earth Africa Data Cube
- Creators
- Digital Earth Africa
Description
Description
DE Africa vegetation detection change analysis uses hypothesis testing techniques to stack remotely sensed satellite images to determine regions that have undergone significant change. To measure the presence of vegetation from Landsat imagery the hypothesis is applied to identify areas of significant change along with the direction of the change. Therefore, we can detect the regions of deforestation and afforestation with consideration of the aspect of land use changes from the natural changes introduced by climate variability.
This notebook allows for easy replication of analysis across Africa, by simply changing the analysis parameters. The user guide provides an overview of the analysis, resources used/supplied, and directions on how to reproduce the analysis.
This knowledge package includes the necessary data, computational resources, and instructions required to reproduce the methodology used in Digital Earth Africa's ' Vegetation Change Detection Jupyter Notebook.
The User's Guide provides an overview of the application.
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- Created
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2022-12-08