Time Series Index AIKP

This AIKP is a concrete implementation of the ocli.aikp.timeseries base module. It calculates spectral indices (e.g., NDVI) over time and stores them in a Zarr store.

Features

  • Inheritance: Inherits state-machine and filter logic from the base module.

  • Spectral Indices: Default implementation for NDVI using Sentinel-2.

Configuration

In addition to base parameters:

  • index_kind: Name of the index to calculate (NDVI, NDWI, NDMI).

Usage

  1. ocli task template setup - Fetch product list.

  2. ocli task template calculation - Process products and build Zarr. Check the data ocli task template calculation-info.

  3. ocli task template publication - Finalize task state. Check the data ocli task template publication-info.

Publication

This AIKP uses custom strategies for metadata generation and upload:

  1. ocli ai makegeojson - Generates a TimeSeries document metadata. During this step, the command:

    • Calculates the global minimum (domain_min) and global maximum (domain_max) across all time slices (excluding non-finite values) and includes them under properties.zarr.

    • Computes slice-by-slice statistics (min, max, std, mean, median) for each time slice and stores them as parallel arrays of float values inside properties.zarr.stats.

  2. ocli ai upload - Uploads the Zarr store and metadata to Object Storage.

  3. ocli ai publish post - Registers the metadata in the Document Database.