Spatiotemporal Analysis of Mangrove Cover Change over a Decade in Ernakulam District, Kerala
DOI:
https://doi.org/10.36808/if/2024/v150i9/170564Keywords:
Mangrove Cover, Change Detection, Accuracy Assessment, NDVI, NDWI, CMRI.Abstract
Mangrove ecosystems, crucial coastal habitats, are increasingly threatened by human encroachment, making it essential to monitor their changes over time for effective conservation. This study uses remote sensing and GIS to create Mangrove Cover maps for 2014 and 2024, examining spatiotemporal patterns of mangrove cover in Ernakulam district, India, over the past decade. By applying the Combined Mangrove Recognition Index (CMRI), derived from the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) from Landsat 8 and 9 data, the study enhances mangrove identification. The analysis reveals a decrease in mangrove cover from 922.05 hectares in 2014 to 802.53 hectares in 2024, with some areas remaining stable and others showing minor regrowth. Vypin, the district's largest mangrove area, remained relatively steady, while locations like Cherai Beach and Wellington Island experienced declines, likely due to coastal erosion and development. A field visit to 1,150 ground reference points confirmed 851 as mangroves, yielding a kappa coefficient accuracy of 74%. This research underscores the value of integrating remote sensing with field surveys to inform targeted conservation and management strategies for Ernakulam's mangroves.References
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