[HTML][HTML] A review of geostatistical simulation models applied to satellite remote sensing: Methods and applications
F Zakeri, G Mariethoz - Remote Sensing of Environment, 2021 - Elsevier
Despite an ever-increasing number of spaceborne, airborne, and ground-based data
acquisition platforms, remote sensing data are still often spatially incomplete or temporally …
acquisition platforms, remote sensing data are still often spatially incomplete or temporally …
QuickSampling v1. 0: a robust and simplified pixel-based multiple-point simulation approach
M Gravey, G Mariethoz - Geoscientific Model Development, 2020 - gmd.copernicus.org
Multiple-point geostatistics enable the realistic simulation of complex spatial structures by
inferring statistics from a training image. These methods are typically computationally …
inferring statistics from a training image. These methods are typically computationally …
Long term monitoring and connection between topography and cloud cover distribution in Serbia
A Valjarević, C Morar, J Živković, L Niemets, D Kićović… - Atmosphere, 2021 - mdpi.com
The use of weather satellite recordings has been growing rapidly over the last three
decades. Determining the patterns between meteorological and topographical features is an …
decades. Determining the patterns between meteorological and topographical features is an …
A Tree‐Based Direct Sampling Method for Stochastic Surface and Subsurface Hydrological Modeling
Direct sampling (DS) is a versatile multiple‐point statistics method for generating spatial‐
temporal geostatistical models. DS is known for being able to address a variety of training …
temporal geostatistical models. DS is known for being able to address a variety of training …
[HTML][HTML] Multiple-point geostatistics-based spatial downscaling of heavy rainfall fields
High-resolution gridded rainfall products at sub-daily and 10 0 km scales are required for
hydrological applications in mountainous and urban catchments. As most catchments are …
hydrological applications in mountainous and urban catchments. As most catchments are …
[HTML][HTML] A new methodology to train fracture network simulation using multiple-point statistics
Natural fracture network characteristics can be establishes from high-resolution outcrop
images acquired from drone and photogrammetry. Such images might also be good …
images acquired from drone and photogrammetry. Such images might also be good …
An application of Multiple‐point statistics downscaling approach over North‐West Himalayas in avalanche‐prone areas
Weather data at fine spatial resolution in the Himalayan region are important for assessing
various hydrological events such as avalanches. In recent years, national agencies have …
various hydrological events such as avalanches. In recent years, national agencies have …
[HTML][HTML] Missing data imputation for multisite rainfall networks: a comparison between geostatistical interpolation and pattern-based estimation on different terrain …
Missing rainfall data are a major limitation for distributed hydrological modeling and climate
studies. Practitioners need reliable approaches that can be employed on a daily basis, often …
studies. Practitioners need reliable approaches that can be employed on a daily basis, often …
Gap-filling sentinel-1 offshore wind speed image time series using multiple-point geostatistical simulation and reanalysis data
Offshore wind is expected to play a key role in future energy systems. Wind energy resource
studies often call for long-term and spatially consistent datasets to assess the wind potential …
studies often call for long-term and spatially consistent datasets to assess the wind potential …
Downscaling multispectral satellite images without colocated high-resolution data: a stochastic approach based on training images
Very high-resolution satellite imagery from the latest generation commercial platforms
provides an unprecedented capacity for imaging the Earth with very high spatial detail …
provides an unprecedented capacity for imaging the Earth with very high spatial detail …