|
Titel |
An approach to reduce mapping errors in the production of landslide inventory maps |
VerfasserIn |
M. Santangelo, I. Marchesini, F. Bucci, M. Cardinali, F. Fiorucci, F. Guzzetti |
Medientyp |
Artikel
|
Sprache |
Englisch
|
ISSN |
1561-8633
|
Digitales Dokument |
URL |
Erschienen |
In: Natural Hazards and Earth System Sciences ; 15, no. 9 ; Nr. 15, no. 9 (2015-09-22), S.2111-2126 |
Datensatznummer |
250119686
|
Publikation (Nr.) |
copernicus.org/nhess-15-2111-2015.pdf |
|
|
|
Zusammenfassung |
Landslide inventory maps (LIMs) show where landslides have occurred in an
area, and provide information useful to different types of landslide
studies, including susceptibility and hazard modelling and validation, risk
assessment, erosion analyses, and to evaluate relationships between
landslides and geological settings. Despite recent technological
advancements, visual interpretation of aerial photographs (API) remains the
most common method to prepare LIMs. In this work, we present a new
semi-automatic procedure that makes use of GIS technology for the digitization
of landslide data obtained through API. To test the procedure, and to
compare it to a consolidated landslide mapping method, we prepared two LIMs
starting from the same set of landslide API data, which were digitized (a) manually
adopting a consolidated visual transfer method, and (b) adopting
our new semi-automatic procedure. Results indicate that the new
semi-automatic procedure (a) increases the interpreter's overall efficiency
by a factor of 2, (b) reduces significantly the subjectivity introduced by
the visual (manual) transfer of the landslide information to the digital
database, resulting in more accurate LIMs. With the new procedure, the
landslide positional error decreases with increasing landslide size,
following a power-law. We expect that our work will help adopt standards for
transferring landslide information from the aerial photographs to a digital
landslide map, contributing to the production of accurate landslide maps. |
|
|
Teil von |
|
|
|
|
|
|