Literature DB >> 21164981

Removal of surface-reflected light for the measurement of remote-sensing reflectance from an above-surface platform.

Zhongping Lee1, Yu-Hwan Ahn, Curtis Mobley, Robert Arnone.   

Abstract

Using hyperspectral measurements made in the field, we show that the effective sea-surface reflectance ρ (defined as the ratio of the surface-reflected radiance at the specular direction corresponding to the downwelling sky radiance from one direction) varies not only for different measurement scans, but also can differ by a factor of 8 between 400 nm and 800 nm for the same scan. This means that the derived water-leaving radiance (or remote-sensing reflectance) can be highly inaccurate if a spectrally constant ρ value is applied (although errors can be reduced by carefully filtering measured raw data). To remove surface-reflected light in field measurements of remote sensing reflectance, a spectral optimization approach was applied, with results compared with those from remote-sensing models and from direct measurements. The agreement from different determinations suggests that reasonable results for remote sensing reflectance of clear blue water to turbid brown water are obtainable from above-surface measurements, even under conditions of high waves.

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Year:  2010        PMID: 21164981     DOI: 10.1364/OE.18.026313

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  2 in total

1.  Comparison of satellite reflectance algorithms for estimating turbidity and cyanobacterial concentrations in productive freshwaters using hyperspectral aircraft imagery and dense coincident surface observations.

Authors:  Richard Beck; Min Xu; Shengan Zhan; Richard Johansen; Hongxing Liu; Susanna Tong; Bo Yang; Song Shu; Qiusheng Wu; Shujie Wang; Kevin Berling; Andrew Murray; Erich Emery; Molly Reif; Joseph Harwood; Jade Young; Christopher Nietch; Dana Macke; Mark Martin; Garrett Stillings; Richard Stumpf; Haibin Su; Zhaoxia Ye; Yan Huang
Journal:  J Great Lakes Res       Date:  2019-06-01       Impact factor: 2.480

2.  Spatiotemporal dynamics of chlorophyll-a in a large reservoir as derived from Landsat 8 OLI data: understanding its driving and restrictive factors.

Authors:  Yuan Li; Yunlin Zhang; Kun Shi; Yongqiang Zhou; Yibo Zhang; Xiaohan Liu; Yulong Guo
Journal:  Environ Sci Pollut Res Int       Date:  2017-10-31       Impact factor: 4.223

  2 in total

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