DOI: 10.1109/TGRS.2019.2949946
论文题名: An Ocean Color Algorithm Based on Power Functions to Retrieve Inherent Optical Properties from Remotely Sensed Data off the Baja California Peninsula, Mexico
作者: Alvarado-Graef P. ; Martín-Atienza B. ; Sosa-Ávalos R. ; Durazo R.
刊名: IEEE Transactions on Geoscience and Remote Sensing
ISSN: 1962892
出版年: 2020
卷: 58, 期: 3 语种: 英语
英文关键词: Algorithms
; color
; remote sensing
; satellites
; sea measurements
; water
Scopus关键词: Algorithms
; Backscattering
; Color
; Remote sensing
; Satellites
; Seawater
; Water
; Absorption co-efficient
; Backscattering coefficients
; California current systems
; Inherent optical properties
; Inherent optical properties (IOPs)
; Remote-sensing reflectance
; Sea measurements
; Situ and satellite datum
; Parameter estimation
; absorption
; measurement method
; ocean color
; optical property
; remote sensing
; satellite data
; seawater
; Baja California [(PNN) Mexico]
; California Current
; Mexico [North America]
; Pacific Ocean
英文摘要: Ocean color is determined by the different components of seawater. Satellite ocean color data are commonly used to infer the inherent optical properties (IOPs) of seawater and concentration of chlorophyll a (Chl-a). Many of the algorithms that relate satellite data to the components of seawater use global data to determine their parameters. Regionalizing the algorithms is recommended to improve the retrieval of IOPs from satellite data. In this article, we use the in situ and satellite data from the southern part of the California Current System (CCS) off the Baja California Peninsula during 1999 to test the Garver and Siegel IOPs' inversion model (GSM). The strong seasonal variability observed in the data was not reproduced by this algorithm. Thus, we propose a new regional algorithm whose order and coefficient depend on seasonal variability. This algorithm includes the linear form of the GSM model but allows changes in two parameters according to the season. These two parameters are the magnitude and spectral shape of the relationship of the remote sensing reflectance with the ratio of the backscattering coefficient and the sum of backscattering and absorption coefficients. In this area, both parameters increase gradually from January to October. The new algorithm improves the retrieval of the IOPs' ratio from an r2 below 0.5 with the GSM model to an r2 that ranges from 0.87 in April and October to 0.93 and 0.94 in January and August, respectively. Furthermore, Chl- a data were used as a proxy to evaluate the new algorithm. Absorption data retrieved from remotely sensed data for 1999, 2008, and 2011 relate well to the in situ Chl- a data. © 1980-2012 IEEE. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159158
Appears in Collections: 气候变化与战略
There are no files associated with this item.
作者单位: Facultad de Ciencias Marinas, Universidad Autónoma de Baja California, Ensenada, 22760, Mexico; Centro Universitario de Investigaciones Oceanológicas, Universidad de Colima, Manzanillo, 28060, Mexico
Recommended Citation:
Alvarado-Graef P.,Martín-Atienza B.,Sosa-Ávalos R.,et al. An Ocean Color Algorithm Based on Power Functions to Retrieve Inherent Optical Properties from Remotely Sensed Data off the Baja California Peninsula, Mexico[J]. IEEE Transactions on Geoscience and Remote Sensing,2020-01-01,58(3)