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<article language="en">
	<journal>
		<journal_title>The Cryosphere Discussions</journal_title>
		<journal_url>www.the-cryosphere-discuss.net</journal_url>
		<issn>1994-0432</issn>
		<eissn>1994-0440</eissn>
		<volume_number>3</volume_number>
		<issue_number>2</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/tcd-3-383-2009</doi>
	<article_url>http://www.the-cryosphere-discuss.net/3/383/2009/</article_url>
	<abstract_html>http://www.the-cryosphere-discuss.net/3/383/2009/tcd-3-383-2009.html</abstract_html>
	<fulltext_pdf>http://www.the-cryosphere-discuss.net/3/383/2009/tcd-3-383-2009.pdf</fulltext_pdf>
	<start_page>383</start_page>
	<end_page>414</end_page>
	<publication_date>2009-07-01</publication_date>
	<article_title content_type="html">Multi-temporal airborne LIDAR-DEMs for glacier and permafrost mapping and monitoring</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>J. Abermann</name>
			<email>jakob.abermann@uibk.ac.at</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>A. Fischer</name>
		</author>
		<author numeration="3" affiliations="2">
			<name>A. Lambrecht</name>
		</author>
		<author numeration="4" affiliations="3">
			<name>T. Geist</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Austrian Academy of Sciences, Commission for Geophysical Research, Vienna, Austria</affiliation>
		<affiliation numeration="2" content_type="html">Institute of Meteorology and Geophysics, University of Innsbruck, Innsbruck, Austria</affiliation>
		<affiliation numeration="3" content_type="html">FFG – Austrian Research Promotion Agency / ALR – Aeronautics and Space Agency, Vienna, Austria</affiliation>
	</affiliations>
	<abstract content_type="html">The proposed method presents a simple and robust way to derive glacier
extent by using multi-temporal high-resolution DEMs (digital elevation
models) as a main data source. For glaciers that are not debris covered, we
perform the glacier boundary delineation by analysing roughness differences
between ice and its surroundings. A promising way to distinguish dead ice,
debris-covered ice or permafrost from its rocky surroundings is shown by
taking elevation changes from DEMs of different dates into consideration. In
case data has a high spatial and temporal resolution a good representation
of the extent of debris cover and thus the overall ice covered area can be
given. We use examples to show how potentially ambiguous areas can be
treated decisively by the additional qualitative analysis of aerial
photographs. Problems and limitations are discussed in comparison with
selected other remote sensing techniques and accuracies are quantified. For
glaciers larger than 1 km&lt;sup&gt;2&lt;/sup&gt; an accuracy of &amp;plusmn;1% of the glacier area
could be assessed. The errors of smaller glaciers do not exceed &amp;plusmn;5% of
the glacier area.</abstract>
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</article>

