Zobrazeno 1 - 10
of 220
pro vyhledávání: '"G. Mariethoz"'
Publikováno v:
Earth System Science Data, Vol 16, Pp 731-742 (2024)
Modern and fossil pollen data are widely used in paleoenvironmental research to characterize past environmental changes in a given location. However, their discrete and discontinuous nature can limit the inferences that can be made from them. Derivin
Externí odkaz:
https://doaj.org/article/82fbea7d4c89490698efdb7494036704
Autor:
M. Gravey, G. Mariethoz
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 5265-5279 (2023)
Multiple-point geostatistics are widely used to simulate complex spatial structures based on a training image. The practical applicability of these methods relies on the possibility of finding optimal training images and parametrization of the simula
Externí odkaz:
https://doaj.org/article/fab5f3df8de64c439ff197070b63e08c
Publikováno v:
Geoscientific Model Development, Vol 14, Pp 3421-3435 (2021)
This study introduces an efficient deep-learning model based on convolutional neural networks with joint autoencoder and adversarial structures for 3D subsurface mapping from 2D surface observations. The method was applied to delineate paleovalleys i
Externí odkaz:
https://doaj.org/article/b054e28f7b6d469c848de3749192ecb0
Publikováno v:
Geoscientific Instrumentation, Methods and Data Systems, Vol 9, Pp 385-396 (2020)
This study develops a low-cost terrestrial lidar system (TLS) for dense point cloud acquisition. Our system consists of a VLP-16 lidar scanner produced by Velodyne, which we have placed on a motorized rotating platform. This allows us to continuously
Externí odkaz:
https://doaj.org/article/e1d90a134a6147a0aae4dbbd7ab0ec86
Autor:
M. Gravey, G. Mariethoz
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 2611-2630 (2020)
Multiple-point geostatistics enable the realistic simulation of complex spatial structures by inferring statistics from a training image. These methods are typically computationally expensive and require complex algorithmic parametrizations. The appr
Externí odkaz:
https://doaj.org/article/17ea2eea37b846f3b7c570f437d66a0a
Publikováno v:
Hydrology and Earth System Sciences, Vol 24, Pp 2841-2854 (2020)
At subdaily resolution, rain intensity exhibits a strong variability in space and time, which is favorably modeled using stochastic approaches. This strong variability is further enhanced because of the diversity of processes that produce rain (e.g.,
Externí odkaz:
https://doaj.org/article/9725d6ed9bfb474db84133f3364de96e
Publikováno v:
Hydrology and Earth System Sciences, Vol 23, Pp 2561-2580 (2019)
Paleovalleys are buried ancient river valleys that often form productive aquifers, especially in the semiarid and arid areas of Australia. Delineating their extent and hydrostratigraphy is however a challenging task in groundwater system characteriza
Externí odkaz:
https://doaj.org/article/30964a1c3735448784ae22641a1039a4
Publikováno v:
Solid Earth, Vol 10, Pp 537-559 (2019)
Natural fracture network characteristics can be establishes from high-resolution outcrop images acquired from drone and photogrammetry. Such images might also be good analogues of subsurface naturally fractured reservoirs and can be used to make p
Externí odkaz:
https://doaj.org/article/aa987db04a8a4e50ab1f4d25e11e3bcb
Autor:
L. Benoit, A. Gourdon, R. Vallat, I. Irarrazaval, M. Gravey, B. Lehmann, G. Prasicek, D. Gräff, F. Herman, G. Mariethoz
Publikováno v:
Earth System Science Data, Vol 11, Pp 579-588 (2019)
Modern drone technology provides an efficient means to monitor the response of alpine glaciers to climate warming. Here we present a new topographic dataset based on images collected during 10 UAV surveys of the Gorner Glacier glacial system (Switzer
Externí odkaz:
https://doaj.org/article/0924cd64592448a9a8afb892d1bae174
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 6547-6566 (2018)
Multiple-point statistics (MPS) has shown promise in representing complicated subsurface structures. For a practical three-dimensional (3-D) application, however, one of the critical issues is the difficulty in obtaining a credible 3-D training im
Externí odkaz:
https://doaj.org/article/caa880dcf8c14cf4be74a40270db1b9a