Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Dalia B Kirschbaum"'
Publikováno v:
PLoS ONE, Vol 14, Iss 7, p e0218657 (2019)
Robust inventories are vital for improving assessment of and response to deadly and costly landslide hazards. However, collecting landslide events in inventories is difficult at the global scale due to inconsistencies in or the absence of landslide r
Externí odkaz:
https://doaj.org/article/437d3fa09770481596e84f389a7b9974
Publikováno v:
Earth's Future, Vol 12, Iss 10, Pp n/a-n/a (2024)
Abstract High Mountain Asia has long been known as a hotspot for landslide risk, and studies have suggested that landslide hazard is likely to increase in this region over the coming decades. Extreme precipitation may become more frequent, with a non
Externí odkaz:
https://doaj.org/article/667b47e022674dafb9612715c9423ef9
Publikováno v:
Weather and Climate Extremes, Vol 14, Iss C, Pp 67-79 (2016)
Rainfall-induced landslides represent a pervasive issue in areas where extreme rainfall intersects complex terrain. A farsighted management of landslide risk requires assessing how landslide hazard will change in coming decades and thus requires, int
Externí odkaz:
https://doaj.org/article/379501addf784f39b9d56aa108d1ea78
Autor:
Emmanouil Anagnostou, Sandrine Anquetin, Marina Astitha, Tibebu Ayalew, Martina Calovi, Forest Cannon, Amy DeCastro, Diego Cerrai, Guido Cervone, Dan Chen, Quang-Van Doan, Laura Clemente, Masih Eghdami, F. Di Giuseppe, Timothy W. Juliano, Domingo Muñoz-Esparza, C. Di Napoli, Morgan Fonley, Maria Frediani, Weiming Hu, Navid Jadidoleslam, Pedro Jimenez, Jason C. Knievel, Sana Khan, Dalia B. Kirschbaum, Branko Kosovi, Witold F. Krajewski, Hiroyuki Kusaka, Linus Magnusson, Ricardo Mantilla, Luca Delle Monache, Efthymios Nikolopoulos, F. Pappenberger, C. Prudhomme, Felipe Quintero, Prathap Ramamurthy, Pallav Ray, Isabelle Ruin, Scott Small, Amanda Siems-Anderson, Galateia Terti, Mukul Tewari, Nicolas Velasquez, Zhihua Wang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::028dc9ba981d51a5e60de903b7772b6a
https://doi.org/10.1016/b978-0-12-820124-4.00007-4
https://doi.org/10.1016/b978-0-12-820124-4.00007-4
Autor:
Samantha H. Hartke, Daniel B. Wright, Zhe Li, Viviana Maggioni, Dalia B. Kirschbaum, Sana Khan
Publikováno v:
Water Resources Research. 58
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e187396b01ab5f6e8e9652fb9293aee7
https://doi.org/10.1029/2021wr031650
https://doi.org/10.1029/2021wr031650
Publikováno v:
Frontiers in Earth Science. 10
Landslides triggered by extreme rainfall can be devastating, resulting in loss of life, property, and infrastructure. Landslide forecasting systems provide an opportunity to build awareness of potential hazards and ultimately take preemptive measures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::785bb2690954b789d8f253c8856b5517
https://doi.org/10.3389/feart.2022.878996
https://doi.org/10.3389/feart.2022.878996
Autor:
Alexander L. Handwerger, Mong-Han Huang, Shannan Y. Jones, Pukar Amatya, Hannah R. Kerner, Dalia B. Kirschbaum
Rapid detection of landslides is critical for emergency response, disaster mitigation, and improving our understanding of landslide dynamics. Satellite-based synthetic aperture radar (SAR) can be used to detect landslides, often within days of a trig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d181b97bebb7e1d8b6969be82598631
https://nhess.copernicus.org/articles/22/753/2022/
https://nhess.copernicus.org/articles/22/753/2022/
Publikováno v:
Advances in Meteorology, Vol 2016 (2016)
Externí odkaz:
https://doaj.org/article/4b8db722df6345b29185eb80cc0db962
Autor:
Thomas A. Stanley, Dalia B. Kirschbaum, Garrett Benz, Robert A. Emberson, Pukar M. Amatya, William Medwedeff, Marin K. Clark
Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
Landslides affect nearly every country in the world each year. To better understand this global hazard, the Landslide Hazard Assessment for Situational Awareness (LHASA) model was developed previously. LHASA version 1 combines satellite precipitation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42bb66c455e92d15ac76b75c30ae8edb
https://doi.org/10.3389/feart.2021.640043
https://doi.org/10.3389/feart.2021.640043