Satellite SAR interferometry for the improved assessment of the state of activity of landslides: A case study from the Cordilleras of Peru
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985891%3A_____%2F18%3A00496362" target="_blank" >RIV/67985891:_____/18:00496362 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.rse.2018.08.014" target="_blank" >http://dx.doi.org/10.1016/j.rse.2018.08.014</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.rse.2018.08.014" target="_blank" >10.1016/j.rse.2018.08.014</a>
Alternative languages
Result language
angličtina
Original language name
Satellite SAR interferometry for the improved assessment of the state of activity of landslides: A case study from the Cordilleras of Peru
Original language description
In Peru landslides have been causing damages and casualties annually due to the high mountain relief and distinct seasonal precipitation distribution. Satellite Synthetic Aperture Radar (SAR) interferometry represents one possibility for mapping surface deformation at fine spatial resolution over large areas in order to characterize aspects of terrain motion and potentially hazardous processes. We present land surface motion maps derived from satellite SAR interferometry (InSAR) for a part of the Santa River Basin between the Cordilleras Blanca and Negra around the city of Carhuaz in Peru. Using both Persistent Scatterer Interferometry (PSI) and differential SAR Interferograms (DInSAR) from ALOS-1 PALSAR-1, ENVISAT ASAR, ALOS-2 PALSAR-2 and Sentinel-1 we mapped 42 landslides extending over 17,190,141 m(2) within three classes of activity (i.e. 0-2 cm/a, 2-10 cm/a and > 10 cm/a). A geomorphological inventory of landslides was prepared from optical satellite imagery and field experience and compared to the InSAR-based slope-instability inventory. The two approaches provide slightly different information about landslide spatial and temporal activity patterns, but altogether they can be combined for the assessment of the state of activity of landslides and possibly the development of hazard maps, which are not systematically available in this region. We conclude that ALOS PALSAR (1 and 2) and Sentinel-1 data have a high potential to derive high-quality surface deformation information of landslides in many mountainous regions worldwide due to their global and frequent acquisition strategies.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10508 - Physical geography
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Remote Sensing of Environment
ISSN
0034-4257
e-ISSN
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Volume of the periodical
217
Issue of the periodical within the volume
NOV
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
111-125
UT code for WoS article
000447570900010
EID of the result in the Scopus database
2-s2.0-85051411956