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<!DOCTYPE article SYSTEM "http://www.nat-hazards-earth-syst-sci.net/inc/nhess/copernicus.dtd">
<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>2</volume_number>
		<issue_number>1/2</issue_number>
		<publication_year>2002</publication_year>
	</journal>
	<doi>10.5194/nhess-2-3-2002</doi>
	<article_url>http://www.nat-hazards-earth-syst-sci.net/2/3/2002/</article_url>
	<abstract_html>http://www.nat-hazards-earth-syst-sci.net/2/3/2002/nhess-2-3-2002.html</abstract_html>
	<fulltext_pdf>http://www.nat-hazards-earth-syst-sci.net/2/3/2002/nhess-2-3-2002.pdf</fulltext_pdf>
	<start_page>3</start_page>
	<end_page>14</end_page>
	<publication_date>0000-00-00</publication_date>
	<article_title content_type="html">Impact of mapping errors on the reliability of landslide hazard maps</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>F. Ardizzone</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>M. Cardinali</name>
		</author>
		<author numeration="3" affiliations="2">
			<name>A. Carrara</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, I-06128 Perugia, Italy</affiliation>
		<affiliation numeration="2" content_type="html">CNR-CSITE, Viale Risorgimento 2, I-40136 Bologna, Italy</affiliation>
	</affiliations>
	<abstract content_type="html">Identification and
      mapping of landslide deposits are an intrinsically difficult and
      subjective operation that requires a great effort to minimise the inherent
      uncertainty. For the Staffora Basin, which extends for almost 300 km&lt;sup&gt;2&lt;/sup&gt; in
      the northern Apennines, three landslide inventory maps were independently
      produced by three groups of geomorphologists. In comparing each map with
      the others, large positional discrepancies arise (in the range of 55–65%).
      When all three maps are overlain, the locational mismatch of landslide
      deposit polygons increases to over 80%. To assess the impact of these
      errors on predictive models of landslide hazard, for the study area
      discriminant models were built up from the same set of geological-geomorphological
      factors as predictors, and the occurrence of landslide deposits within
      each terrain-unit, derived from each inventory map, as dependent variable.
      The comparison of these models demonstrates that statistical modelling
      greatly minimises the impact of input data errors which remain, however, a
      major limitation on the reliability of landslide hazard maps.</abstract>
	<references>
	</references>
</article>

