Empirically derived Coloured Dissolved Organic Matter absorption coefficient using in-situ and Sentinel 3/OLCI in coastal waters of India

有色溶解有机物 环境科学 溶解有机碳 水色仪 海洋学 海洋色 吸收(声学) 原位 光谱斜率 遥感 生物地球化学 浮游植物 地质学 化学 气象学 地理 营养物 物理 有机化学 卫星 天文 声学 谱线
作者
Arvind Sahay,Syed Moosa Ali,Mini Raman,Anurag Gupta,Gunjan Motwani,Rohan Thakker,Anima Tirkey,Hitesh Solanki,Palanisamy Shanmugam
出处
期刊:International Journal of Remote Sensing [Informa]
卷期号:43 (4): 1430-1450 被引量:3
标识
DOI:10.1080/01431161.2022.2040754
摘要

Chromophoric Dissolved Organic Matter (CDOM) is the fraction of dissolved organic matter that absorbs sun light in ultra-violet and visible region of the electromagnetic radiation. CDOM is abundantly found in marine and coastal waters and is very important to studying optical properties of water columns and biogeochemistry of the water. It is a proxy to study dissolved organic carbon pools in marine and freshwater pools. This research aims to establish a relation between CDOM absorption and remote sensing reflectance in coastal waters of India using a large pool of in-situ data set. This study is very significant to studying CDOM distribution, its variability and the coastal processes that influence its distribution on larger time scales (seasonal to decadal changes) through ocean colour sensors. This study presents a new empirical algorithm for estimation of CDOM absorption (412nm) in Indian coastal waters using remote sensing reflectance that has not been reported so far. The study also presents its slope and variability in different regions of coastal waters of India using in-situ data. A large pool of 409 datasets has been generated using NASA bio-Optical Marine Algorithm Dataset/SeaWiFS Bio-Optical Archive and Storage System (NOMAD/SeaBASS) datasets and Indian coastal waters datasets collected during 2014-18 exclusively for coastal waters of India. A power equation is obtained using the ratio of remote sensing reflectance (Rrs412/Rrs555) to derive CDOM absorption with R2=0.74. The retrieved absorption coefficient is further validated with independent in-situ data set using another 58 station points with R2=0.84. The root mean square error is 0.03 m−1 (with 20% standard error in modelled data). CDOM slope (S412-443) is also estimated from in-situ data and it varies from 0.010-0.020 (units nm−1) with a mean value of 0.015 (nm−1) for Indian coastal waters. CDOM absorption coefficient (412 nm) varies between 0.01-0.8 m−1 for 90% of the stations whereas remaining 10% of the stations show high CDOM absorption coefficient between 1.2- 2.0 m−1 in the study area. This empirically derived algorithm is then applied on Sentinel-3/OLCI derived remote sensing reflectance time series data of whole year 2019 and CDOM absorption coefficient has been retrieved in different regions of coastal waters off Gujarat (India). The seasonal and spatial variability in these regions show that this algorithm is having great potential to retrieve CDOM absorption in coastal areas using high-resolution ocean colour monitors like Sentinel-3/OLCI. This algorithm is highly useful in retrieving CDOM absorption in coastal waters through existing and future ocean colour monitors from space-borne platform.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
DDDD发布了新的文献求助10
1秒前
陆程文完成签到,获得积分10
1秒前
1秒前
霞俊杰完成签到,获得积分20
2秒前
2秒前
2秒前
2秒前
Awei完成签到,获得积分10
2秒前
天天快乐应助牛贝贝采纳,获得10
3秒前
量子星尘发布了新的文献求助10
3秒前
3秒前
3秒前
BowieHuang应助Ymir采纳,获得40
4秒前
4秒前
NexusExplorer应助1101592875采纳,获得10
4秒前
付研琪发布了新的文献求助10
4秒前
花灯王子完成签到,获得积分10
5秒前
Lqian_Yu完成签到 ,获得积分10
5秒前
小葛发布了新的文献求助10
5秒前
Kevin发布了新的文献求助20
6秒前
lzx完成签到,获得积分10
6秒前
ZIS发布了新的文献求助10
6秒前
吴帅发布了新的文献求助10
6秒前
6秒前
6秒前
keyanrubbish发布了新的文献求助10
6秒前
tangshijun完成签到,获得积分10
7秒前
7秒前
7秒前
子车茗应助sober采纳,获得20
7秒前
7秒前
无疾而终完成签到,获得积分10
7秒前
Tdj完成签到,获得积分10
7秒前
白苹果完成签到 ,获得积分10
8秒前
天行完成签到,获得积分10
8秒前
爆米花应助666采纳,获得10
8秒前
9秒前
potatozhou完成签到,获得积分10
9秒前
9秒前
Harssi发布了新的文献求助10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Basic And Clinical Science Course 2025-2026 3000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5608504
求助须知:如何正确求助?哪些是违规求助? 4693127
关于积分的说明 14876947
捐赠科研通 4717761
什么是DOI,文献DOI怎么找? 2544250
邀请新用户注册赠送积分活动 1509316
关于科研通互助平台的介绍 1472836