Inter-Comparison and Selection of Best Suited Algorithm for Chlorophyll-A Estimation Using Landsat 8 Oli Satellite Data – Chennai Coast, Tamilnadu – India
RM.Narayanan1, K.J.Sharmila2, K.Radhika3, B.Krishnakumari4, S.Laxmipriya5

1RM.Narayanan, Professor, Department of Civil Engineering, Dr.M.G.R Educational and Research Institute, Chennai, (Tamil Nadu), India.
2K.J.Sharmila, Assistant Professor, Dr.M.G.R Educational and Research Institute.
3K.Radhika, Professor, Department of Civil Engineering, Dr.M.G.R Educational and Research Institute, Chennai, (Tamil Nadu), India.
4B.Krishnakumari, Research Scholar, Dr.M.G.R Educational and Research Institute, Chennai, (Tamil Nadu), India.
5S.Laxmipriya, Research Scholar, Dr.M.G.R Educational and Research Institute, Chennai, (Tamil Nadu), India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 3283-3289 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6807068819/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The increase in population and fast dwindling land resources lead to tapping and exploitation of oceanic resources include marine habitats. Ludicrous abuse of oceanic resources may imbalance the ecology. The centralization of Chlorophyll-a (standard phytoplankton pigment) is as often taken as a record of biomass in an assumed area. Marine based photosynthetic life forms comprise of single celled phytoplankton, which includes less than 1 percent of the worldwide biomass anyway it speaks to 40 % of universal carbon obsession. According to previous studies, carbon dioxide released by anthropogenic activity adds 7 gigatons per year of which 2 (Gt per yr.) is thought to be sequestered in the oceanic environment. In the stable state, phytoplankton fixes 35 to 50 Gt of C per yr. Hence, the study is streamlined to retrieve Chl-a values using satellite imageries of Landsat 8OLI data in order to find Chl-a variations along three different regions. In view of three vital situations (SEE, NASH and MAPE), it is inferred that all the five algorithms alongside the estuary, nearshore and offshore regimes are resulted with undue estimate of phytoplankton (Chl-a) qualities. However, among most of the five distinct algorithms, Tasson algorithms has a superior matchup as far as field measured Chlorophyll-a than other algorithms consequently Tasson algorithm is taken into consideration as a reasonable algorithm for inferring the Chl-a making use of satellite information that is then trailed by Hamilton algorithm.
Keyword: Chlorophyll a, Remote Sensing algorithms, Marine water, Standard error estimate (SEE), Nash–Sutcliffe coefficient (NASHE), and mean absolute percentage error (MAPE).
Scope of the Article: Radar and Satellite.