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Green-Cover-Analysis

Analysis of geo mapped photographs and satellite imagery to estimate green cover over time across the globe.
A web app has also been developed using Django REST Framework and React for the same.


Link to the deployed ipynb notebooks: https://gcnotebooks.herokuapp.com/

Web App:

Link to the deployed web app: https://green-cover.netlify.app/
Link to frontend repo: https://github.com/VirajPatidar/green-cover-frontend
Link to backend repo: https://github.com/VirajPatidar/green-cover-backend


Tech Stack:

Vision Analytics, Machine Learning, Datasets and Satellite Imagery:


Features:

  • Rendering dynamic maps to analyse green cover and generate timelapses representing change in green cover.
  • Time series chart/graph representing change in green cover over the years for the state of Maharashtra.
  • Predicting type of landcover in the state of Maharashtra by performing supervised classification using existing datasets.
  • Analysis of air quality on basis of various parameters for the state of Maharashtra.

Features along with datasets used:

TASK / FEATURE DATASET
Estimating Green Cover using Vegetation Indexes (Global)
Timelapse for Normalized Difference Vegetation Index (NDVI) (Global)
Time series graphical analysis representing Vegetation Indexes (NDVI & EVI) of Maharashtra
Landcover Analysis of Maharashtra
Analysing Air Quality of Maharashtra