P
Palanisamy Shanmugam
Researcher at Indian Institute of Technology Madras
Publications - 129
Citations - 2055
Palanisamy Shanmugam is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Ocean color & Radiance. The author has an hindex of 22, co-authored 115 publications receiving 1696 citations. Previous affiliations of Palanisamy Shanmugam include State Oceanic Administration & Korean Ocean Research and Development Institute.
Papers
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Detecting the red tide algal blooms from satellite ocean color observations in optically complex Northeast-Asia Coastal waters
Yu-Hwan Ahn,Palanisamy Shanmugam +1 more
TL;DR: In this paper, a new method called the red tide index (RI) is presented which is capable of identifying potential areas of harmful algal blooms (HABs) from SeaWiFS ocean color measurements representing the typical Case-2 water environments off the Korean and Chinese coasts.
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A comparison of the classification of wetland characteristics by linear spectral mixture modelling and traditional hard classifiers on multispectral remotely sensed imagery in southern India
TL;DR: In this paper, a soft classification method based on linear spectral mixture modelling (LSMM) was proposed to map and monitor the coastal wetland ecosystems of southern India, using Indian Remote Sensing Satellite (IRS) 1C/1D LISS-III and Landsat-5 Thematic Mapper (TM) image data.
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Assessment of the levels of coastal marine pollution of Chennai city, Southern India
TL;DR: In this paper, a special emphasis on the determination of the levels of pollution, the identification of vulnerable zones and providing some probable remedial measures for severely impacted coastal zone of Chennai city was given.
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A new bio-optical algorithm for the remote sensing of algal blooms in complex ocean waters
TL;DR: In this article, a bio-optical algorithm was developed to provide accurate assessments of chlorophyll a (Chl a) concentration for detection and mapping of algal blooms from satellite data in optically complex waters, where the presence of suspended sediments and dissolved substances can interfere with phytoplankton signal and thus confound conventional band ratio algorithms.
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Satellite detection of harmful algal bloom occurrences in Korean waters
TL;DR: In this article, the spatial and temporal aspects of C. polykrikoides blooms were analyzed from SeaWiFS ocean color imagery collected over the period 1998-2002.