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2021-09-13

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Ramya, A., Karthikeyan, G., Dhevagi, P., 2021. Remote Sensing Application in Carbon Sequestration. Biotica Research Today 3(9), 752-754.

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HOME / ARCHIVES / Vol. 3 No. 9 : September (2021) / Popular Article

Remote Sensing Application in Carbon Sequestration

Ramya, A.

Dept. of Environmental Sciences, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu (641 003), India

Karthikeyan, G.

Dept. of Environmental Sciences, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu (641 003), India

Dhevagi, P.*

Dept. of Environmental Sciences, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu (641 003), India

DOI: NIL

Keywords: Carbon sequestration, Perennial vegetation, Remote sensing, Standing biomass

Abstract


Perennial vegetation is the most important element in the terrestrial carbon sequestration. Their key role in ecosystem dynamics is well known. However, it is paradoxical that the vegetation has undergone destruction and degradation in the modern times due to industrial and technological advancement achieved by the human society. This advancement has resulted in emission of carbon dioxide. Therefore there is an imperative need to address environmental issues related to them. Trees are important sink for atmospheric carbon i.e., carbon dioxide, since 50% of their standing biomass is carbon itself. Importance of forested area in carbon sequestration is already accepted and well documented. Ever green fruit trees, and needle leaf vegetation also have similar carbon sequestration ability as that of forest trees.

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Reference


Anthea, L.M., Rosenqvist, A., Mora, B., 2017. Current remote sensing approaches to monitoring forest degradation in support of countries measurement, reporting and verification (MRV) systems for REDD+. Carbon Balance Manage 12(1), 1-22.

Sakthivel, R., Manivel, M., Jawahar raj, N., Pugalanthi, V., Ravichandran N., Anand, V.D., 2010. Remote sensing and GIS based forest cover change detection study in Kalrayan hills, Tamil Nadu. Journal of Environmental Biology 31(5), 737-747.