Concept for Mapping Carbon footprint with Change in Vegetation Cover and Population in India

In most of the developing countries, the increasing rate of Carbon emissions is considered as a major cause of concern. India is leading in terms of CO2 emissions as compared to other countries. The vegetation cover comprises only 24.39% of the geographic area of India. Metropolitan cities in India...

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Bibliographic Details
Published in:ITM web of conferences 2020, Vol.32, p.3042
Main Authors: Amin, Ishma, Agarwal, Meenakshi, Lobo, Stevert, Gurnani, Rahul, Priya, R.L
Format: Article
Language:English
Subjects:
Afforestation
arimax
Artificial intelligence
Autoregressive models
Carbon
carbon footprint
Deforestation
Developing countries
Environmental impact
k-nn imputation
LDCs
lstm
Machine learning
Mapping
mice imputation
random forest
Statistical analysis
Statistical models
time-series synchrony quantification
Urbanization
var
Vegetation
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Summary:In most of the developing countries, the increasing rate of Carbon emissions is considered as a major cause of concern. India is leading in terms of CO2 emissions as compared to other countries. The vegetation cover comprises only 24.39% of the geographic area of India. Metropolitan cities in India are witnessing rapid urbanization. The primary objective of this proposal is to identify the relationship between the increase in carbon emissions and deforestation in metropolitan cities. An additional objective is to predict the amount of afforestation required for each area to cope up with the carbon emissions over the next 25-years. It can be achieved by using statistical models like ARIMA, LSTM and machine learning techniques such as Random Forest. The proposal provides suggestions on optimal places and techniques for sustainable afforestation to the concerned authorities using artificial intelligence.
ISSN:2271-2097
2431-7578
2271-2097
DOI:10.1051/itmconf/20203203042