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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprsarchives-XL-1-347-2014</article-id>
<title-group>
<article-title>Impact of the cameras radiometric resolution on the accuracy of determining spectral reflectance coefficients</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Orych</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Walczykowski</surname>
<given-names>P.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jenerowicz</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zdunek</surname>
<given-names>Z.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Dept. of Remote Sensing and Photogrammetry, Institute of Geodesy, Faculty of Civil Engineering and Geodesy, Military University of Technology, 2 Kaliskiego st., Warsaw 00-908, Poland</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Laboratorium Badawcze ZENIT, Gdynia, Poland</addr-line>
</aff>
<pub-date pub-type="epub">
<day>07</day>
<month>11</month>
<year>2014</year>
</pub-date>
<volume>XL-1</volume>
<fpage>347</fpage>
<lpage>349</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2014 A. Orych et al.</copyright-statement>
<copyright-year>2014</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-1/347/2014/isprs-archives-XL-1-347-2014.html">This article is available from https://isprs-archives.copernicus.org/articles/XL-1/347/2014/isprs-archives-XL-1-347-2014.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XL-1/347/2014/isprs-archives-XL-1-347-2014.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XL-1/347/2014/isprs-archives-XL-1-347-2014.pdf</self-uri>
<abstract>
<p>Nowadays remote sensing plays a very important role in many different study fields, i.e. environmental studies, hydrology,
mineralogy, ecosystem studies, etc. One of the key areas of remote sensing applications is water quality monitoring. Understanding
and monitoring of the water quality parameters and detecting different water contaminants is an important issue in water
management and protection of whole environment and especially the water ecosystem. There are many remote sensing methods to
monitor water quality and detect water pollutants. One of the most widely used method for substance detection with remote sensing
techniques is based on usage of spectral reflectance coefficients. They are usually acquired using discrete methods such as
spectrometric measurements. These however can be very time consuming, therefore image-based methods are used more and more
often. In order to work out the proper methodology of obtaining spectral reflectance coefficients from hyperspectral and
multispectral images, it is necessary to verify the impact of cameras radiometric resolution on the accuracy of determination of them.
This paper presents laboratory experiments that were conducted using two monochromatic XEVA video sensors (400&amp;ndash;1700 nm
spectral data registration) with two different radiometric resolutions (12 and 14 bits). In view of determining spectral characteristics
from images, the research team used set of interferometric filters. All data collected with multispectral digital video cameras were
compared with spectral reflectance coefficients obtained with spectroradiometer. The objective of this research is to find the impact
of cameras radiometric resolution on reflectance values in chosen wavelength. The main topic of this study is the analysis of
accuracy of spectral coefficients from sensors with different radiometric resolution. By comparing values collected from images
acquired with XEVA sensors and with the curves obtained with spectroradiometer it&apos;s possible to determine accuracy of imagebased
spectral reflectance coefficients and decide which sensor will be more accurate to determine them for protection of water
aquatic environment purpose.</p>
</abstract>
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