Jupyter Notebook - Landsat-8 Vegetation Phenology
- Creators
- Killough, Brian
- Other:
- Killough, Brian
Description
About
This notebook calculates vegetation phenology changes using Landsat-8 data. To detect changes, the algorithm uses Normalized Difference Vegetation Index (NDVI) which is a common proxy for vegetation growth and health. The outputs of this notebook can be used to assess differences in agriculture fields over time or space and also allow the assessment of growing states such as planting and harvesting.
There are two output products. The first output product is a time series boxplot of NDVI with the data binned by week, month, week of year, or month of year. The second output product is a time series lineplot of the mean NDVI for each year, with the data potentially binned by week or month. This product is useful for comparing different years to each other.
Open Data Cube sandbox
You can execute this notebook in the Open Data Cube Sandbox. You can also run on your software promise environment.
For more information about the Open Data Cube Sandbox, please, check this link.