Satellite SAR interferometry for the improved assessment of the state of activity of landslides: A case study from the Cordilleras of Peru
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Satellite SAR interferometry for the improved assessment of the state of activity of landslides: A case study from the Cordilleras of Peru
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Satellite SAR interferometry for the improved assessment of the state of activity of landslides: A case study from the Cordilleras of Peru
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10508 - Physical geography
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Remote Sensing of Environment
ISSN
0034-4257
e-ISSN
—
Svazek periodika
217
Číslo periodika v rámci svazku
NOV
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
15
Strana od-do
111-125
Kód UT WoS článku
000447570900010
EID výsledku v databázi Scopus
2-s2.0-85051411956