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<article language="en">
	<journal>
		<journal_title>Natural Hazards and Earth System Science</journal_title>
		<journal_url>www.nat-hazards-earth-syst-sci.net</journal_url>
		<issn>1561-8633</issn>
		<eissn>1684-9981</eissn>
		<volume_number>7</volume_number>
		<issue_number>6</issue_number>
		<publication_year>2007</publication_year>
	</journal>
	<doi>10.5194/nhess-7-637-2007</doi>
	<article_url>http://www.nat-hazards-earth-syst-sci.net/7/637/2007/</article_url>
	<abstract_html>http://www.nat-hazards-earth-syst-sci.net/7/637/2007/nhess-7-637-2007.html</abstract_html>
	<fulltext_pdf>http://www.nat-hazards-earth-syst-sci.net/7/637/2007/nhess-7-637-2007.pdf</fulltext_pdf>
	<start_page>637</start_page>
	<end_page>650</end_page>
	<publication_date>2007-11-06</publication_date>
	<article_title content_type="html">Identification and mapping of recent rainfall-induced landslides using elevation data collected by airborne Lidar</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>F. Ardizzone</name>
			<email>francesca.ardizzone@irpi.cnr.it</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>M. Cardinali</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>M. Galli</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>F. Guzzetti</name>
		</author>
		<author numeration="5" affiliations="1">
			<name>P. Reichenbach</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">CNR IRPI, via della Madonna Alta 126, 06128 Perugia, Italy</affiliation>
	</affiliations>
	<abstract content_type="html">A high resolution Digital Elevation Model with a ground resolution of 2 m&amp;times;2 m
(DEM&lt;sub&gt;2&lt;/sub&gt;) was obtained for the Collazzone area, central
Umbria, through weighted linear interpolation of elevation points acquired
by Airborne Lidar Swath Mapping. Acquisition of the elevation data was
performed on 3 May 2004, following a rainfall period that resulted in
numerous landslides. A reconnaissance field survey conducted immediately
after the rainfall period allowed mapping 70 landslides in the study area,
for a total landslide area of 2.7&amp;times;10&lt;sup&gt;5&lt;/sup&gt; m&lt;sup&gt;2&lt;/sup&gt;. Topographic
derivative maps obtained from the DEM&lt;sub&gt;2&lt;/sub&gt; were used to update the
reconnaissance landslide inventory map in 22 selected sub-areas. The revised
inventory map shows 27% more landslides and 39% less total landslide
area, corresponding to a smaller average landslide size. Discrepancies
between the reconnaissance and the revised inventory maps were attributed to
mapping errors and imprecision chiefly in the reconnaissance field
inventory. Landslides identified exploiting the Lidar elevation data matched
the local topography more accurately than the same landslides mapped using
the existing topographic maps. Reasons for the difference include an
incomplete or inaccurate view of the landslides in the field, an unfaithful
representation of topography in the based maps, and the limited time
available to map the landslides in the field. The high resolution DEM&lt;sub&gt;2&lt;/sub&gt;
was compared to a coarser resolution (10 m&amp;times;10 m) DEM&lt;sub&gt;10&lt;/sub&gt; to
establish how well the two DEMs captured the topographic signature of
landslides. Results indicate that the improved topographic information
provided by DEM&lt;sub&gt;2&lt;/sub&gt; was significant in identifying recent rainfall-induced
landslides, and was less significant in improving the representation of
stable slopes.</abstract>
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</article>

