Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Ashok Dahal"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104037- (2024)
There is an urgent need for accurate and effective Landslide Early Warning Systems (LEWS). Most LEWS are currently based on temporally-aggregated measures of rainfall derived from either in-situ measurements or satellite-based rainfall estimates. Rel
Externí odkaz:
https://doaj.org/article/fb850cf6892d4665a2429b960bb8cae2
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-11 (2024)
Abstract Seismic waves can shake mountainous landscapes, triggering thousands of landslides. Regional-scale landslide models primarily rely on shaking intensity parameters obtained by simplifying ground motion time-series into peak scalar values. Suc
Externí odkaz:
https://doaj.org/article/f4f309fb11bb489fa977ff4a00ab9585
Autor:
Mahnoor Ahmed, Hakan Tanyas, Raphaël Huser, Ashok Dahal, Giacomo Titti, Lisa Borgatti, Mirko Francioni, Luigi Lombardo
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103593- (2023)
The initial inception of the landslide susceptibility concept defined it as a static property of the landscape, explaining the proneness of certain locations to generate slope failures. Since the spread of data-driven probabilistic solutions though,
Externí odkaz:
https://doaj.org/article/926836b2260749f9a537857947328a64
Autor:
Bhogendra Mishra, Rupesh Bhandari, Krishna Prasad Bhandari, Dinesh Mani Bhandari, Nirajan Luintel, Ashok Dahal, Shobha Poudel
Publikováno v:
Geomatics, Vol 3, Iss 2, Pp 312-327 (2023)
Sustainable agricultural management requires knowledge of where and when crops are grown, what they are, and for how long. However, such information is not yet available in Nepal. Remote sensing coupled with farmers’ knowledge offers a solution to
Externí odkaz:
https://doaj.org/article/5ab9e705b72e45dba0d5fe9020884573
Hydro-morphological processes (HMP, any natural phenomenon contained within the spectrum defined between debris flows and flash floods) are globally occurring natural hazards which pose great threats to our society, leading to fatalities and economic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19e922bbb33b37fd5c6226eebb993794
https://doi.org/10.31223/x5p078
https://doi.org/10.31223/x5p078
Autor:
Bhogendra Mishra, Ashok Dahal, Nirajan Luintel, Tej Bahadur Shahi, Saroj Panthi, Shiva Pariyar, Bhoj Raj Ghimire
Publikováno v:
Spatial Information Research, 30(2), 215-232. Springer
A deep neural network (DNN), evolved from a traditional artificial neural network, has been seamlessly adapted for the spatial data domain over the years. Deep learning (DL) has been widely applied for a number of applications and a variety of themat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39600a868c4e00304270ffb7067c39bb
https://doi.org/10.1007/s41324-021-00425-2
https://doi.org/10.1007/s41324-021-00425-2
Autor:
Hakan Tanyas, Kun He, Nitheshnirmal Sadhasivam, Luigi Lombardo, Ling Chang, Zhice Fang, Ashok Dahal, Islam Fadel, Xiewen Hu, Gang Luo
Publikováno v:
EGU General Assembly 2023
Strong earthquakes not only induce co-seismic mass wasting but also exacerbates the shear strength of hillslope materials and cause higher landslide susceptibility in the subsequent years following the earthquake. Previous studies have mainly investi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a79eda64b5eeac3536e3ed33ff72833
https://doi.org/10.5194/egusphere-egu23-14415
https://doi.org/10.5194/egusphere-egu23-14415
Autor:
Ashok Dahal, David Alejandro Casto Cruz, Hakan Tanyas, Islam Fadel, Paul Martin Mai, Mark van der Meijde, Cees van Westen, Raphaël Huser, Luigi Lombardo
Ground motion simulations solve wave equations in space and time, thus producing detailed estimates of the shaking time series. This is essentially uncharted territory for geomorphologists, for we have yet to understand which ground motion (synthetic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eca6c68dad32d1fc6b9d35004ee245d0
https://doi.org/10.31223/x5wm0p
https://doi.org/10.31223/x5wm0p
Autor:
Kun He, Luigi Lombardo, Ling Chang, Nitheshnirmal Sadhasivam, Xiewen Hu, Zhice Fang, Ashok Dahal, Islam Fadel, Gang Luo, Hakan Tanyas
Mountainous landscapes affected by strong earthquakes exhibit relatively higher landslide susceptibility in post-seismic periods compared to pre-seismic conditions. This concept is referred to as the earthquake legacy effect and is mainly examined by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc5f102e180a7d311b1af441f1c0ba3d
https://doi.org/10.31223/x5q65w
https://doi.org/10.31223/x5q65w
In order to develop reliable models, the geoscientific community requires high-resolution data sets. However, the collection of such data is a persistent challenge due to the limitations of resources. The concept of super-resolution, a method from th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cc22cc66f989924f164967104d00f95
https://doi.org/10.31223/x5dd21
https://doi.org/10.31223/x5dd21