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Rajput, Preeti
- Coastal Sediment Dynamics, Ecology and Detection of Coral Reef Macroalgae from AVIRIS-NG
Abstract Views :210 |
PDF Views:72
Authors
R. Ratheesh
1,
Nandini Ray Chaudhury
1,
Preeti Rajput
1,
Mohit Arora
1,
Ashwin Gujrati
1,
S. V. V. Arunkumar
1,
Ateeth Shetty
2,
Rakesh Baral
3,
Rakesh Patel
4,
Devanshi Joshi
4,
Harshad Patel
4,
Bharat Pathak
4,
K. S. Jayappa
2,
R. N. Samal
3,
A. S. Rajawat
1
Affiliations
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
2 Mangalore University, Mangalagangorti, Mangaluru 574 199, IN
3 Chilika Development Authority, Bhubaneswar 751 014, IN
4 Gujarat Ecological Education and Research Foundation, Gandhinagar 382 007, IN
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
2 Mangalore University, Mangalagangorti, Mangaluru 574 199, IN
3 Chilika Development Authority, Bhubaneswar 751 014, IN
4 Gujarat Ecological Education and Research Foundation, Gandhinagar 382 007, IN
Source
Current Science, Vol 116, No 7 (2019), Pagination: 1157-1165Abstract
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.Full Text
References
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- Quantification of Shoreline Changes along the Entire Indian Coast Using Indian Remote Sensing Satellite Images of 2004–06 and 2014–16
Abstract Views :105 |
PDF Views:62
Authors
Affiliations
1 Geo Sciences Division, GHCAG, Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
1 Geo Sciences Division, GHCAG, Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
Source
Current Science, Vol 124, No 5 (2023), Pagination: 578-584Abstract
The coastal region of India is highly vulnerable to various threats, including coastal erosion, due to natural processes enhanced by anthropogenic influences. Shoreline change inventories are the pre-requisite for identifying the coastal stretches subjected to erosion. In this study, the shoreline of the entire Indian coast was delineated at a scale of 1 : 25,000 using IRS LISS-IV images of 2004–06 and 2014–16 time frames. The spatial shift between the shoreline of two time frames was estimated in the GIS platform and a database of shoreline changes was prepared. The eroding, accreting and stable length of the shoreline were calculated for the Indian coast along with the area of erosion and accretion. This study discusses the imperative results of shoreline mapping and the status of shoreline changes on the Indian coast. The shoreline changes in terms of erosion and accretion were assessed for 7549 km of the Indian coast. It was found that the coast is eroding along 1144 km and accretion of the coast is along 1084 km, while 5321 km of the coastline shows no changes between the two time frames. The coastal land area lost due to erosion was 3680 ha; however, the increase in land area as a result of coastal deposition was 4042 ha. The regional coastal processes and the associated shoreline changes and coastal issues related to anthropogenic impacts are also discussed in this study. The inventory of shoreline changes has been used to prepare six volumes of Shoreline Change Atlas covering the entire Indian coast. The shoreline change database forms the baseline data for planning any coastal development activity by the maritime authorities apart from the potential use by the scientific community.Keywords
Coastal Erosion and Accretion, High Tide Line, Remote Sensing, Shoreline Changes.Full Text
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