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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>ISPRS - 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/isprs-archives-XLI-B7-705-2016</article-id>
<title-group>
<article-title>A COMPARISON OF LIDAR REFLECTANCE AND RADIOMETRICALLY CALIBRATED
HYPERSPECTRAL IMAGERY</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Roncat</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<ext-link>https://orcid.org/0000-0002-8702-1167</ext-link></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Briese</surname>
<given-names>C.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pfeifer</surname>
<given-names>N.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Research Groups Photogrammetry and Remote Sensing, Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>EODC Earth Observation Data Centre for Water Resources Monitoring GmbH, Vienna, Austria</addr-line>
</aff>
<pub-date pub-type="epub">
<day>21</day>
<month>06</month>
<year>2016</year>
</pub-date>
<volume>XLI-B7</volume>
<fpage>705</fpage>
<lpage>710</lpage>
<permissions>
<license license-type="open-access">
<license-p/>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/isprs-archives-XLI-B7-705-2016.html">This article is available from https://isprs-archives.copernicus.org/articles/isprs-archives-XLI-B7-705-2016.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/isprs-archives-XLI-B7-705-2016.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/isprs-archives-XLI-B7-705-2016.pdf</self-uri>
<abstract>
<p>In order to retrieve results comparable under different flight parameters and among different flight campaigns, passive remote sensing
data such as hyperspectral imagery need to undergo a radiometric calibration. While this calibration, aiming at the derivation of physically
meaningful surface attributes such as a reflectance value, is quite cumbersome for passively sensed data and relies on a number
of external parameters, the situation is by far less complicated for active remote sensing techniques such as lidar.
This fact motivates the investigation of the suitability of full-waveform lidar as a “single-wavelength reflectometer” to support radiometric
calibration of hyperspectral imagery. In this paper, this suitability was investigated by means of an airborne hyperspectral imagery
campaign and an airborne lidar campaign recorded over the same area. Criteria are given to assess diffuse reflectance behaviour; the
distribution of reflectance derived by the two techniques were found comparable in four test areas where these criteria were met. This
is a promising result especially in the context of current developments of multi-spectral lidar systems.</p>
</abstract>
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