Improved estimates of bio-optical parameters in optically complex water using hyperspectral remote sensing data-Reference-Cited by-同舟云学术

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Improved estimates of bio-optical parameters in optically complex water using hyperspectral remote sensing data

Published:2021-01-20 Issue:8 Volume:42 Page:3056-3073
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Ali Syed Moosa¹,Gupta Anurag¹,Raman Mini¹,Sahay Arvind¹,Motwani Gunjan¹,Muduli Pradipta R.²^ORCID,Krishna Aswathy Vijaya¹,Tirkey Anima³

Affiliation:

1. Space Applications Centre, ISRO, Ahmedabad, India

2. Chilika Development Authority, Department of Forest and Environment, Government of Odisha, Wetland Research and Training Centre, Balugaon, India

3. Department of Botany, Gujarat University, Ahmedabad, India

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1865585

Reference43 articles.

1. Distribution and Seasonal Abundance of Algal Forms in Chilka Lake, East Coast of India.

2. Spatio-temporal variability and the impact of Phailin on water quality of Chilika lagoon

3. An Overview of AVIRIS-NG Airborne Hyperspectral Science Campaign Over India

4. Water Quality Assessment of River Ganga and Chilika Lagoon using AVIRIS-NG Hyperspectral Data

5. Use of hyperspectral remote sensing reflectance for detection and assessment of the harmful alga, Karenia brevis

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bio-Optical Characterization of Chilika Lagoon Using Multispectral Remote Sensing Data;Journal of the Indian Society of Remote Sensing;2023-07-19

2. Suspended particulate matter and secchi disk depth in the Chilika Lagoon from in situ and remote sensing data: a modified semi-analytical approach;International Journal of Remote Sensing;2022-05-19

3. Atmospheric correction over coastal waters with aerosol properties constrained by multi-pixel observations;Remote Sensing of Environment;2021-11

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