气候变化领域集成服务门户(CCPortal): Remote estimation of chlorophyll a concentrations over a wide range of optical conditions based on water classification from VIIRS observations

CCPortal

DOI	10.1016/j.rse.2020.111735
	Remote estimation of chlorophyll a concentrations over a wide range of optical conditions based on water classification from VIIRS observations
	Jiang G.; Loiselle S.A.; Yang D.; Ma R.; Su W.; Gao C.
发表日期	2020
ISSN	00344257
卷号	241
英文摘要	The accurate estimate of surface chlorophyll a concentrations (Chla) by remote sensing presents a number of challenges where inherent and apparent optical properties have significant spatial or temporal variability. Indeed, Chla algorithms for Case 2 waters are often lake or region specific, and they are usually highly sensitive to changes in the dominant chromophoric constituents. This study develops and validates an absorption-specific approach to estimating Chla across an optically heterogeneous dataset. The approach is based on the classification of the optically dominant constituent. We tested this approach with in situ data from Taihu Lake, Poyang Lake, Chaohu Lake, Shitoukoumen Reservoir, Pearl River Estuary and Daya Bay as well as using HydroLight simulated data. The results show an improved performance when compared to most single Chla algorithms. We validated the approach with data from the Visible Infrared Imager Radiometer Suite (VIIRS). Results showed that this absorption-specific approach provided good Chla estimates over clear to very turbid waters with a wide range of optical conditions (R2 = 0.76, rRMSE = 35%, n = 230, p < 0.01). © 2020 Elsevier Inc.
英文关键词	Limnology; MODIS; Optical classification; Phytoplankton; VIIRS; Water color
语种	英语
scopus关键词	Chlorophyll; Lakes; Limnology; Optical properties; Phytoplankton; Radiometers; Remote sensing; Apparent optical properties; Chlorophyll-a concentration; MODIS; Optical classification; Shitoukoumen reservoirs; VIIRS; Visible-infrared imager-radiometer suites; Water color; Reservoirs (water); algorithm; chlorophyll a; classification; concentration (composition); dominance; heterogeneity; limnology; MODIS; optical method; phytoplankton; remote sensing; spatiotemporal analysis; VIIRS; Anhui; Chaohu Lake; China; Daya Bay; Guangdong; Jiangxi; Poyang Lake; Taihu Lake; Zhujiang Estuary
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179382
作者单位	Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China; South China Sea Environment Monitoring Center, State Oceanic Administration, Guangzhou, 510300, China; Guangdong Key Laboratory of Ocean Remote Sensing (South China Sea Institute of Oceanology Chinese Academy of Sciences), Guangzhou, 510300, China; Dipartimento Farmaco Chimico Tecnologico, CSGI, University of Siena, Siena, Italy; South China Sea Institute of Planning and Environmental Research, State Oceanic Administration, Guangzhou, 510310, China; Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization, Guangdong Academy of Forestry, Guangzhou, 510520, China
推荐引用方式 GB/T 7714	Jiang G.,Loiselle S.A.,Yang D.,et al. Remote estimation of chlorophyll a concentrations over a wide range of optical conditions based on water classification from VIIRS observations[J],2020,241.
APA	Jiang G.,Loiselle S.A.,Yang D.,Ma R.,Su W.,&Gao C..(2020).Remote estimation of chlorophyll a concentrations over a wide range of optical conditions based on water classification from VIIRS observations.Remote Sensing of Environment,241.
MLA	Jiang G.,et al."Remote estimation of chlorophyll a concentrations over a wide range of optical conditions based on water classification from VIIRS observations".Remote Sensing of Environment 241(2020).