UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 6
June-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2106519


Registration ID:
311057

Page Number

d786-d798

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Title

Inspecting Satellite Data for Surface Air Quality Monitoring and, Prediction of Surface AQI using ML MODELS and Prophet.

Abstract

Rapid urbanization and industrialization have caused Indian urban regions to suffer severe air pollution issues; insufficient ground monitoring data and incomplete air pollution source characterization impedes putting policy measures to overcome this issue, remote sensing and GIS can tackle this hurdle to some extent. The necessity of monitoring and preserving air quality has now become an essential priority in many industrial and urban areas today. The air quality is skeptically affected due to multiple forms of pollution caused by fossil fuel burning, stubble burning, electricity, etc. The accumulating deposition of harmful gases is creating a serious threat to the quality of life in urban areas and their surroundings. The quality of air is affected by multi-dimensional factors including location, time, and meteorological factors. This study focuses on the current and future advancing techniques of monitoring and predicting air quality for Ahmedabad city by scrutinizing the use of remote sensing data for surface air quality monitoring which includes acquiring the satellite image data using python for NO2 and SO2, correlating ground and satellite data. And using ground data, predicting air quality index using machine learning tools like Random Forest Regressor, Adaboost Regressor, and times series model Prophet.

Key Words

Air quality Index, Satellite data, Machine Learning Models, Prophet.

Cite This Article

"Inspecting Satellite Data for Surface Air Quality Monitoring and, Prediction of Surface AQI using ML MODELS and Prophet.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.d786-d798, June-2021, Available :http://www.jetir.org/papers/JETIR2106519.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Inspecting Satellite Data for Surface Air Quality Monitoring and, Prediction of Surface AQI using ML MODELS and Prophet.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppd786-d798, June-2021, Available at : http://www.jetir.org/papers/JETIR2106519.pdf

Publication Details

Published Paper ID: JETIR2106519
Registration ID: 311057
Published In: Volume 8 | Issue 6 | Year June-2021
DOI (Digital Object Identifier):
Page No: d786-d798
Country: Silvassa, UT of Dadra and Nagar Haveli, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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