Estimation of the Temporal Change in Carbon Stock of Muthupet Mangroves in Tamil Nadu Using Remote Sensing Techniques

Abstract

Aim: To study the carbon storage potential of Muthupet mangroves in Tamil Nadu using Remote sensing techniques.
 Place and Duration: The study is carried out in Muthupet Mangroves for the years 2000, 2010 and 2017.
 Methodology: In this study the remote sensing images were processed using the ERDAS and ArcGIS software and the NDVI (Normalized Difference Vegetation Index) has also been applied to estimate the quantity of carbon sequestration capability for the Avicennia marina mangrove growing in the Muthupet region for the period 2000-2017. The formula proposed by Lai [10] was used to calculate the carbon stock using geospatial techniques.
 Results: The results show that the mangroves in Muthupet region has NDVI values between -0.671 and 0.398 in 2000, -0.93 and 0.621 in 2010 and -0.66 and 0.398 in 2017. The observation indicates the reliability and validity of the aviation remote sensing with high resolution and with near red spectrum experimented in this research for estimating the the Avicennia marina (Forsk.) mangrove growing in this region. The estimated quantity of carbon di oxide sequestrated by the mangrove was about 1475.642 Mg/Ha in 2000, 3646.312 Mg/Ha in 2010 and 1677.72 Mg/Ha in 2017.
 Conclusion: The capacity of the Avicennia marina growing in Muthupet region to sequestrate carbon show that it has a great potential for development and implementation. The results obtained in this research can be used as a basis for policy makers, conservationists, regional planners, and researchers to deal with future development of cities and their surroundings in regions of highly ecological and environmental sensitivity. Thus the finding shows that wetlands are an important ecological boon as it helps to control the impact of climate change in many different ways.

An Assessment of Land Use and Land Cover Changes in Muthupet Mangrove Forest, using Time Series Analysis 1975-2015, Tamilnadu, India

“…This is generally associated with backwaters, where, fresh water and sea water mixed. The areas are suitable places for growing mangroves (Narmada & Annaidasan, 2019). In the year 1975 (Figure 9 and Table 5) mangrove status was very low and it covered an area of 20.1 km 2 (2.94 percent) and during the year 1985 it had increased to about 31.9 km 2 (4.66 percent).…”

“…Paminiyar, Koraiyar, Kandaparichanar, Kilaithangiyar and Marakkakoraiyar, discharge water to the coastal wetland where created the large lagoon and before entering into the sea. The study area encompasses many tidal streams, small channels and small bays with surrounded by mangrove forest, and there are many artificial canals can be flowing across the mangroves forest (Narmada & Annaidasan, 2019). The study area (Figure 1) has been receiving freshwater during the retrieve monsoon from the November to December which is enhancing the suitable soil for agricultural practices including mangrove swamps and aquaculture ponds.…”

“…Mapping of various resources in the Mangrove ecosystem such as land use, soil and etc. have been prepared using digital image processing (Narmada & Annaidasan, 2019). Ground truth verification was also done for accuracy assessment for the changing pattern of the Mangrove forest.…”

Research on the Temporal and Spatial Distributions of Standing Wood Carbon Storage Based on Remote Sensing Images and Local Models

“…Using remote sensing to monitor forest dynamics has developed from single-band estimation to vegetation index estimation to microwave technology, and many scientific researchers have made efforts [9]. K. Narmada [10] used the NDVI (standardized difference vegetation index) to estimate the amount of carbon sequestered in the mangroves that grew in the Mutupet region from 2000 to 2017. Experiments have verified the reliability of high-resolution aerial remote sensing data and yielded good results.…”