Identification and Spatial Mapping of Mangrove Species using SAM Classification a Case Study from Aroor, Alappuzha District Kerala
Sreekala K.C1, Aparna S Bhaskar2
1Sreekala K.C, Department of Civil Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India.
2Aparna S Bhaskar, Department of Civil Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India.

Manuscript received on 20 April 2019 | Revised Manuscript received on 24 May 2019 | Manuscript published on 30 May 2019 | PP: 1302-1306 | Volume-8 Issue-1, May 2019 | Retrieval Number: A2180058119/19©BEIESP
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Abstract: The mangroves, most significant wetland vegetation execute various role in creation of effective social, cultural, medicinal, environmental and economic benefits. Like many other parts of India, in Kerala the coastal wetland vegetation is shrinking its stretch tremendously and attained an extremely endangered status. By considering these scenario, this study aims the identification and spatial mapping of mangrove species at Aroor, a village in Alappuzha District for proper documentation of the mangrove species for generating policy for its most sustainable rehabilitation in Kerala. Other than conventional field techniques, remote sensing studies are merely new in this region. For the current study Sentinel 2B, 10 m resolution data is used. A dense patch of mangroves that situated near and along the coastline of Vembanad Lake were selected for the study. Field based Spectral library creation followed by Spectral Angle mapper (SAM) classification method has been using for this study. The study enabled to discriminate and map the spatial distribution of five mangrove species such as Avicennia officicnalis, Rhizophora apiculata, Sonneratia caseolaris, Bruguira sexangula and Bruguira gymnorrhizha.
Index Terms: Environmental System Research Institute, Geographic Information System, Global Positioning System, Near Infrared, Shortwave Infrared.

Scope of the Article: Classification