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Coastal Sediment Dynamics, Ecology and Detection of Coral Reef Macroalgae from AVIRIS-NG


Affiliations
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
2 Mangalore University, Mangalagangorti, Mangaluru 574 199, India
3 Chilika Development Authority, Bhubaneswar 751 014, India
4 Gujarat Ecological Education and Research Foundation, Gandhinagar 382 007, India
 

This article highlights major scientific outcomes of the studies carried out using Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) airborne data over the coastal regions of Mangaluru, Gulf of Kachchh (GoK) and Chilika lagoon. Various hyperspectral remote sensing techniques involving bio-optical models and spectral classification algorithms are used to achieve different objectives related to coastal ecosystem monitoring. AVIRIS-NG airborne data are used to estimate particle size of suspended solids along the coastal waters of Mangaluru using an analytical optical model. The spatial distribution of particle size of the suspended solids in the coastal waters is brought out, while along the coastal land of Mangaluru, the beaches are classified based on uniform sediment characteristics using spectral matching algorithm. AVIRIS-NG data for Pirotan reef in GoK is analysed and species-level identification of the dominant brown macroalgae is carried out. Species-level distribution of brown macroalgae is mapped and used to study the microhabitat preference of different species. At Chilika lagoon, the AVIRIS-NG data are analysed to map the abundance of submerged seagrass using bio-optical model, which provides vital information to the coastal management community. The study asserts the importance of hyperspectral data and various advanced data analysis techniques related to the estimation of geophysical parameters of the coastal waters and monitoring the vital coastal ecosystems.

Keywords

Brown Macroalgae, Coastal Regions, Suspended Sediment Properties, Submerged Seagrass.
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  • Coastal Sediment Dynamics, Ecology and Detection of Coral Reef Macroalgae from AVIRIS-NG

Abstract Views: 382  |  PDF Views: 122

Authors

R. Ratheesh
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
Nandini Ray Chaudhury
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
Preeti Rajput
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
Mohit Arora
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
Ashwin Gujrati
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
S. V. V. Arunkumar
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
Ateeth Shetty
Mangalore University, Mangalagangorti, Mangaluru 574 199, India
Rakesh Baral
Chilika Development Authority, Bhubaneswar 751 014, India
Rakesh Patel
Gujarat Ecological Education and Research Foundation, Gandhinagar 382 007, India
Devanshi Joshi
Gujarat Ecological Education and Research Foundation, Gandhinagar 382 007, India
Harshad Patel
Gujarat Ecological Education and Research Foundation, Gandhinagar 382 007, India
Bharat Pathak
Gujarat Ecological Education and Research Foundation, Gandhinagar 382 007, India
K. S. Jayappa
Mangalore University, Mangalagangorti, Mangaluru 574 199, India
R. N. Samal
Chilika Development Authority, Bhubaneswar 751 014, India
A. S. Rajawat
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India

Abstract


This article highlights major scientific outcomes of the studies carried out using Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) airborne data over the coastal regions of Mangaluru, Gulf of Kachchh (GoK) and Chilika lagoon. Various hyperspectral remote sensing techniques involving bio-optical models and spectral classification algorithms are used to achieve different objectives related to coastal ecosystem monitoring. AVIRIS-NG airborne data are used to estimate particle size of suspended solids along the coastal waters of Mangaluru using an analytical optical model. The spatial distribution of particle size of the suspended solids in the coastal waters is brought out, while along the coastal land of Mangaluru, the beaches are classified based on uniform sediment characteristics using spectral matching algorithm. AVIRIS-NG data for Pirotan reef in GoK is analysed and species-level identification of the dominant brown macroalgae is carried out. Species-level distribution of brown macroalgae is mapped and used to study the microhabitat preference of different species. At Chilika lagoon, the AVIRIS-NG data are analysed to map the abundance of submerged seagrass using bio-optical model, which provides vital information to the coastal management community. The study asserts the importance of hyperspectral data and various advanced data analysis techniques related to the estimation of geophysical parameters of the coastal waters and monitoring the vital coastal ecosystems.

Keywords


Brown Macroalgae, Coastal Regions, Suspended Sediment Properties, Submerged Seagrass.

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DOI: https://doi.org/10.18520/cs%2Fv116%2Fi7%2F1157-1165