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Sahay, Arvind
- Distribution of Coloured Dissolved and Detrital Organic Matter in Optically Complex Waters of Chilika Lagoon, Odisha, India, using Hyperspectral Data of AVIRIS-NG
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PDF Views:75
Authors
Arvind Sahay
1,
Anurag Gupta
1,
Gunjan Motwani
1,
Mini Raman
1,
Syed Moosa Ali
1,
Meghal Shah
2,
Shard Chander
1,
Pradipta R. Muduli
3,
R. N. Samal
3
Affiliations
1 Marine Ecosystem Division, Biological and Planetary Sciences and Applications Group, Earth, Ocean, Atmosphere, Planetary Sciences and Applications Area, Space Applications Centre, Ahmedabad 380 015, IN
2 Department of Botany, University of Gujarat, Ahmedabad 380 009, IN
3 Wetland Research and Training Centre, Chilika Development Authority, Department of Forest and Environment, Government of Odisha, Balugaon 752 030, IN
1 Marine Ecosystem Division, Biological and Planetary Sciences and Applications Group, Earth, Ocean, Atmosphere, Planetary Sciences and Applications Area, Space Applications Centre, Ahmedabad 380 015, IN
2 Department of Botany, University of Gujarat, Ahmedabad 380 009, IN
3 Wetland Research and Training Centre, Chilika Development Authority, Department of Forest and Environment, Government of Odisha, Balugaon 752 030, IN
Source
Current Science, Vol 116, No 7 (2019), Pagination: 1166-1171Abstract
Coloured dissolved and detrital matter (CDM) forms a significant fraction of the total dissolved organic matter (DOM) in water bodies. It absorbs light strongly in the ultraviolet and blue domains of the electromagnetic spectrum. The present study maps CDM absorption of the entire Chilika lagoon, Odisha, India (an optically complex water body) using hyperspectral data of AVIRIS-NG. This study takes advantage of hyperspectral data which use SWIR bands for the estimation of remote sensing reflectance in highly turbid waters of Chilika lagoon (northern sector, which otherwise is masked using standard atmospheric correction schemes). During 24–27 December 2015, we have collected in situ bio-optical data over waters of Chilika lagoon, for studying the distribution of CDM. AVIRIS-NG data have also been acquired synchronous to in situ measurements over the study area. CDM absorption coefficient is retrieved using quasi analytical algorithm and the distribution of CDM is discussed in detail in three different sectors of Chilika lagoon (southern, central, northern) and at the outer channel. The variability of CDM absorption at 412 nm shows that in the north sector of Chilika lagoon, CDM absorption is quite high compared to other sectors (5.5 m–1 with a standard deviation of 0.06 m–1). In the southern sector and at the outer channel it is 1.8 m–1 with a standard deviation of 0.02 m–1 and in the central sector it is 3.76 m–1 with a standard deviation of 0.22 m–1. High CDM in the northern sector is attributed to the inflow of terrestrial organic matter. The advantage of hyperspectral data is that it gives CDM absorption contiguous in the range of 375–425 nm, where the absorption by CDM is strong and away from chlorophyll-a absorption.Keywords
Dissolved Organic Matter, Hyperspectral Data, Lagoon, Optically Complex Waters.Full Text
References
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- Water Quality Assessment of River Ganga and Chilika Lagoon using AVIRIS-NG Hyperspectral Data
Abstract Views :216 |
PDF Views:87
Authors
S. Chander
1,
Ashwin Gujrati
1,
K. Abdul Hakeem
2,
Vaibhav Garg
3,
Annie Maria Issac
2,
Pankaj R. Dhote
3,
Vinay Kumar
3,
Arvind Sahay
1
Affiliations
1 Space Applications Centre, Indian Space Research Organisation (ISRO), Ahmedabad 380 015, IN
2 National Remote Sensing Centre, ISRO, Hyderabad 500 037, IN
3 Indian Institute of Remote Sensing, ISRO, Dehradun 248 001, IN
1 Space Applications Centre, Indian Space Research Organisation (ISRO), Ahmedabad 380 015, IN
2 National Remote Sensing Centre, ISRO, Hyderabad 500 037, IN
3 Indian Institute of Remote Sensing, ISRO, Dehradun 248 001, IN
Source
Current Science, Vol 116, No 7 (2019), Pagination: 1172-1181Abstract
Remote sensing is a vital tool to assess water quality parameters in water bodies like rivers, lakes, estuaries and lagoons. All these fall under the category of optically complex waters (case 2), where water-leaving radiance is affected by optically active water constituents and bottom substrate. The present study estimates water quality parameters, viz. turbidity, suspended sediment concentration and chlorophyll in River Ganga in Buxar (Bihar), and Howrah (West Bengal) and Chilika lagoon (Odisha) using hyperspectral reflectance data of AVIRIS-NG. Concurrent ground-truth data of water samples were collected and simultaneous spectro-radiometer measurements were made in synchronous with the AVIRIS-NG flight over the study area. Semi-analytical simulation modelling followed by inversion and contextual image analysis-based methods were used for estimating the water quality parameters. Water turbidity maps were generated for both the study sites. Over Ganga river, water was relatively clear in Buxar (6.87–20 NTU, TSS 42–154 mg/l), while it was extremely turbid in Howrah (50–175 NTU, TSS 75–450 mg/l). In Chilika lagoon, water was more turbid in the northern sector, which may be due to the river input and resuspension from shallow bathymetry. The results suggest that the small-scale changes in turbidity due to point sources like river tributaries or sewerage discharges can be identified using hyperspectral data. The imaging spectroscopy data over water are a key source to find out potential locations of water contamination.Keywords
Hyperspectral Data, Remote Sensing Reflectance, Semi-Analytical Algorithms, Spectroradiometer.Full Text
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