VICAL is an open-source implementation for computing a map of 23 VIs (VIs commonly used in agricultural applications) and time series for any agricultural region in the world, with images (cloud-free) from Landsat and Sentinel-2 data. The VICAL tool is developed on the GEE platform (https://earthengine.google.com/) and it is coded in JavaScript.
A web app is also provided (https://inifapcenidraspa.users.earthengine.app/view/vical).
The help section for VICAL is available at (https://cenidraspariego.github.io/vical_en/)
The VICAL help section in Spanish can be found at the following URL. (https://serchjimenez09.github.io/VICAL_B/)
The VICAL tool has three main functions: (i) computes 23 VIs with images from Landsat (4, 5, 7, 8 and 9) (no clouds) and Sentinel-2 data from any user-defined area; (ii) the user Plot VI time series for each polygon with Landsat and Sentinel-2 or two satellites, and iii) Plot regression (linear, quadratic, latent or exponential function) with VI values.
The method used on the APP side:
0 - local