Identification And Classification Of Mangrove Trees Based On Morphological Specialization And Monitoring Their Spatio Temporal Distribution Using Deep Learning Techniques

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A. Christy, P.Visalakshi, M.D. Anto Praveena, L.Suji Helen

Abstract

Mangroves are receiving increasing attention from government and non-government organizations around the world due to their ecological importance and benefits to the mankind. Experiences have proved that the presence of mangrove ecosystems on coastline save lives and property during natural calamities such as cyclones, storm surges and erosion. These ecosystems are also well known for their economic importance. The mangrove trees are susceptible to severe threats like Natural and Exploitation. These threats destroy the ecosystem as a whole or a subset of the system.  The objective of this paper  is to identify and classify mangrove trees based on their morphological specializations and monitoring their spatio- temporal distribution to protect them and further to save the ecosystem. 

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