DOI: 10.1002/2015GL063287
论文题名: Optimizing irradiance estimates for coastal and inland water imaging spectroscopy
作者: Thompson D.R. ; Seidel F.C. ; Gao B.C. ; Gierach M.M. ; Green R.O. ; Kudela R.M. ; Mouroulis P.
刊名: Geophysical Research Letters
ISSN: 0094-9554
EISSN: 1944-9285
出版年: 2015
卷: 42, 期: 10 起始页码: 4116
结束页码: 4123
语种: 英语
英文关键词: atmospheric correction
; imaging spectroscopy
; phytoplankton
; solar irradiance
Scopus关键词: Infrared imaging
; Martian surface analysis
; NASA
; Phytoplankton
; Prisms
; Remote sensing
; Solar radiation
; Thermography (imaging)
; Airborne visible infrared imaging spectrometer
; Atmospheric corrections
; Highly accurate
; Imaging spectroscopy
; Orbital imaging
; Remote imaging
; Solar irradiances
; Spectral region
; Spectrometers
; atmospheric correction
; coastal water
; inland sea
; irradiance
; optimization
; phytoplankton
; remote sensing
; solar radiation
英文摘要: Next generation orbital imaging spectrometers, with advanced global remote sensing capabilities, propose to address outstanding ocean science questions related to coastal and inland water environments. These missions require highly accurate characterization of solar irradiance in the critical 380-600 nm spectral range. However, the irradiance in this spectral region is temporally variable and difficult to measure directly, leading to considerable variance between different models. Here we optimize an irradiance estimate using data from the NASA airborne Portable Remote Imaging Spectrometer (PRISM), leveraging spectrally smooth in-scene targets. We demonstrate improved retrievals for both PRISM and the Next Generation Airborne Visible Infrared Imaging Spectrometer. ©2015. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84931332933&doi=10.1002%2f2015GL063287&partnerID=40&md5=7365ab8f5c4d6d8188cc4ad2e74ca353
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/9169
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Recommended Citation:
Thompson D.R.,Seidel F.C.,Gao B.C.,et al. Optimizing irradiance estimates for coastal and inland water imaging spectroscopy[J]. Geophysical Research Letters,2015-01-01,42(10).