Journal ArticleDOI
The human cost of global warming: Deadly landslides and their triggers (1995-2014)
Ubydul Haque,Ubydul Haque,Paula F. da Silva,Graziella Devoli,Jürgen Pilz,Bingxin Zhao,Asmaa Khaloua,Wahyu Wilopo,P. Andersen,Ping Lu,Juneseok Lee,Taro Yamamoto,David Keellings,Wu Jian-Hong,Gregory E. Glass +14 more
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TLDR
The research herein presented hypothesizes that climate change associated with extreme rainfall and population distribution is contributing to a higher number of deadly landslides worldwide.About:
This article is published in Science of The Total Environment.The article was published on 2019-09-10. It has received 196 citations till now. The article focuses on the topics: Landslide.read more
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Geographical landslide early warning systems
Fausto Guzzetti,Stefano Luigi Gariano,Silvia Peruccacci,Maria Teresa Brunetti,Ivan Marchesini,Mauro Rossi,Massimo Melillo +6 more
TL;DR: In this paper, a critical analysis of nine main assumptions that form the rationale for landslide forecasting and early warning is performed, and the authors conclude that operational forecast of weather-induced landslides is feasible, and it can help reduce landslide risk.
Journal ArticleDOI
Landslide mapping from multi-sensor data through improved change detection-based Markov random field
TL;DR: Improved change detection-based Markov random field approach is improved by integrating normalized difference vegetation index, principal component analysis, and independent component analysis generated CDIs with MRF for landslide inventory mapping from multi-sensor data.
Journal ArticleDOI
GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms
Sk Ajim Ali,Farhana Parvin,Jana Vojteková,Romulus Costache,Nguyen Thi Thuy Linh,Quoc Bao Pham,Matej Vojtek,Ljubomir Gigović,Ateeque Ahmad,Mohammad Ali Ghorbani +9 more
TL;DR: The results revealed that random forest (RF) classifier is a promising and optimum model for landslide susceptibility in the study area with a very high value of area under curve, lower value of mean absolute error, and higher value of Kappa index.
The uneven nature of daily precipitation and its change
TL;DR: In this article, the authors diagnose the temporal asymmetry in models and observations and develop a measure for the unevenness of precipitation: the number of the wettest days each year in which half of the annual rain falls.
Journal ArticleDOI
Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms
Abdul-Lateef Balogun,Fatemeh Rezaie,Quoc Bao Pham,Ljubomir Gigović,Siniša Drobnjak,Yusuf A. Aina,Mahdi Panahi,Shamsudeen Temitope Yekeen,Saro Lee +8 more
TL;DR: Multiple hybrid machine-learning models were developed to address parameter optimization limitations and enhance the spatial prediction of landslide susceptibility models to confirm the ability of metaheuristic algorithms to improve model performance.
References
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Journal ArticleDOI
High-Resolution Global Maps of 21st-Century Forest Cover Change
Matthew C. Hansen,Peter Potapov,Rebecca Moore,M. Hancher,Svetlana Turubanova,Alexandra Tyukavina,David Thau,Stephen V. Stehman,Scott J. Goetz,Thomas R. Loveland,Anil Kommareddy,A. Egorov,Louise Chini,Christopher O. Justice,John R. Townshend +14 more
TL;DR: Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally, and boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms.
Book
Nonparametric Statistical Methods
Myles Hollander,Douglas A. Wolfe +1 more
TL;DR: An ideal text for an upper-level undergraduate or first-year graduate course, Nonparametric Statistical Methods, Second Edition is also an invaluable source for professionals who want to keep abreast of the latest developments within this dynamic branch of modern statistics.
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The climate hazards infrared precipitation with stations--a new environmental record for monitoring extremes.
Chris Funk,Pete Peterson,Martin Landsfeld,Diego Pedreros,James P. Verdin,Shraddhanand Shukla,Gregory Husak,James Rowland,Laura Harrison,Andrew Hoell,Joel Michaelsen +10 more
TL;DR: The Variable Infiltration Capacity model, a novel blending procedure incorporating the spatial correlation structure of CCD-estimates to assign interpolation weights, is presented and it is shown that CHIRPS can support effective hydrologic forecasts and trend analyses in southeastern Ethiopia.
Journal ArticleDOI
The Varnes classification of landslide types, an update
TL;DR: The modified Varnes classification of landslides has 32 landslide types, each of which is backed by a formal definition as mentioned in this paper, and complex landslides are not included as a separate category type, but composite types can be constructed by the user of the classification by combining two or more type names.