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ML‐Based Hybrid SAR and Optical Image LULC Mapping and Change Analysis With Variations in the Air Quality of the Imphal Valley, North‐East India.

Authors :
Gupta, Priyanka
Shukla, Arun Kumar
Shukla, Dericks Praise
Source :
Earth & Space Science; Mar2024, Vol. 11 Issue 3, p1-17, 17p
Publication Year :
2024

Abstract

Imphal Valley, situated in Manipur, India, stands as an intermontane valley of great ecological significance, notably hosting Loktak Lake. This research delves into the Land Use Land Cover Change (LULCC) within the Imphal Valley from 2016 to 2021 and assesses their impact on air quality across distinct land cover types. We used Sentinel‐1 & 2 data, ALOS PALSAR Digital Elevation Model, and applied Random Forest (RF), a machine learning algorithm for effective land use and land cover (LULC) mapping. Additionally, Sentinel‐5P data was utilized to monitor air quality parameters (CO, HCHO, NO2, SO2, Aerosol Index) spanning 2019 to 2021. The overall accuracies for the LULC maps employing a k (k = 3) fold approach for accuracy assessment varied between 88% and 92%, with corresponding Kappa coefficient ranging from 0.85 to 0.90. Noteworthy trends emerged from our analysis, revealing an increase in settlements and horticulture farms and a decline in forested areas and phumdis (floating biomass). Our findings highlight a mean concentration of CO ranging between 0.045 mol/m2 and 0.055 mol/m2 in different land cover types during February and March (2019–2021). Furthermore, we observed maximum mean HCHO, NO2, SO2, and aerosol index concentrations in March. Pollution levels surged during forest fires and shifting agriculture seasons, while aerosol levels declined during the lockdown period. This integrated approach emphasized on the comprehensive analysis of the dynamic interplay between LULCC and air quality in the Imphal Valley. This intricate relationship between LULC changes and air quality dynamics in the Imphal Valley, contribute to our understanding of the environmental dynamics in this ecologically vital region. Plain Language Summary: This research article titled "ML based Hybrid Synthetic Aperture Radar (SAR) and Optical LULC Mapping and change analysis with variations in air quality of the Imphal Valley, North‐East India" investigates LULC changes in the Imphal Valley from 2016 to 2021 and their impact on air quality (2019–2021). It employs SAR images, Sentinel 2 satellite images, and topographic features to map LULC using a RF Machine Learning Classifier. The study reveals changes in land cover types and their influence on pollutant concentrations, utilizing Sentinel 5P data for air quality monitoring. The integration of Sentinel data and topographic features enhances the accuracy of the analysis. Key Points: We mapped land use and land cover from 2016 to 2021 using Sentinel 1 and Sentinel 2 data sets with the Random Forest ML Algorithm of Imphal Valley located in Manipur, India and analyzed air quality parametersThere was a significant increase in settlement and a substantial decrease in Phumdis, Vegetation, and PaddyThe air quality was found to be adversely affected from January to April (2019, 2020, and 2021) owing to forest fires caused possibly due to shifting cultivation practices [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23335084
Volume :
11
Issue :
3
Database :
Complementary Index
Journal :
Earth & Space Science
Publication Type :
Academic Journal
Accession number :
176275336
Full Text :
https://doi.org/10.1029/2023EA003176