/ndvi

Web application that uses farm location coordinates to predict NDVI values for the next month using neural networks.

Primary LanguageJavaScript

NDVI Predictor

The normalized difference vegetation index (NDVI) is a simple graphical indicator that can be used to analyze remote sensing measurements, typically, but not necessarily, from a space platform, and assess whether the target being observed contains live green vegetation or not.

Datasets obtained from the following websites under ISRO were used for training the neural network:

  • MOSDAC (Meteorological & Oceanographic Satellite Data Archival Centre) and
  • VEDAS (Visualisation of Earth observation Data and Archival System)

Features extracted were:

  • Rainfall
  • Soil Moisture
  • Soil Temperature
  • Air Temperature

These features were used to predict the NDVI value of a piece of farmland in the approaching month based on the input latitude and longitude.