Results 61 to 70 of about 41,752 (176)
Sensors, 2017 Applications of satellite-borne observations in precision agriculture (PA) are often limited due to the coarse spatial resolution of satellite imagery. This paper uses high-resolution airborne observations to increase the spatial resolution of satellite ...
Leila Hassan-Esfahani +3 more
doaj +1 more source
Atmosphere, 2023 This study proposes a method for downscaling the spatial resolution of daily satellite-based precipitation estimates (SPEs) from 10 km to 1 km. The method deliberates a set of variables that have close relationships with daily precipitation events in a ...
Sergio Callaú Medrano +4 more
doaj +1 more source
A review of applied methods in Europe for flood-frequency analysis in a changing environment [PDF]
, 2013 The report presents a review of methods used in Europe for trend analysis, climate change projections and non-stationary analysis of extreme precipitation and flood frequency.
Kjeldsen, T.R. +4 more
core
Downscaling of fracture energy during brittle creep experiments [PDF]
, 2011 We present mode 1 brittle creep fracture experiments along fracture surfaces that contain strength heterogeneities. Our observations provide a link between smooth macroscopic time-dependent failure and intermittent microscopic stress-dependent processes.
Ampuero, J.-P. +5 more
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A Model-Downscaling Method for Fine-Resolution LAI Estimation
Remote Sensing, 2020 The leaf area index (LAI) is a critical parameter for characterizing the structure and function of vegetation in ecosystems. Currently, operational LAI products always have coarse spatial resolution, and fine-resolution LAI maps are urgently needed for ...
Jingyu Zhang +4 more
doaj +1 more source
Spatiotemporal Statistical Downscaling for the Fusion of In-lake and Remote Sensing Data [PDF]
, 2018 This paper addresses the problem of fusing data from in-lake monitoring programmes with remote sensing data, through statistical downscaling. A Bayesian hierarchical model is developed, in order to fuse the in-lake and remote sensing data using ...
Groom, Steve +7 more
core
A spatial analysis of multivariate output from regional climate models [PDF]
, 2011 Climate models have become an important tool in the study of climate and climate change, and ensemble experiments consisting of multiple climate-model runs are used in studying and quantifying the uncertainty in climate-model output.
Cressie, Noel +2 more
core +3 more sources
Remote Sensing, 2023 Satellite precipitation data downscaling is gaining importance for climatic and hydrological studies at basin scale, especially in the data-scarce mountainous regions, e.g., the Upper Indus Basin (UIB).
Yixuan Wang +4 more
doaj +1 more source
Model performance of downscaling 1999-2004 hydrometeorological fields to the upper Rio Grande basin using different forcing datasets [PDF]
, 2008 This study downscaled more than five years of data (1999-2004) for hydrometeorological fields over the upper Rio Grande basin (URGB) to a 4-km resolution using a regional model [fifth-generation Pennsylvania State University-National Center for ...
Gao, X, Li, J, Sorooshian, S
core +1 more source
Efficient Hybrid DCT-Domain Algorithm for Video Spatial Downscaling [PDF]
EURASIP Journal on Advances in Signal Processing, 2007 A highly efficient video downscaling algorithm for any arbitrary integer scaling factor performed in a hybrid pixel transform domain is proposed. This algorithm receives the encoded DCT coefficient blocks of the input video sequence and efficiently computes the DCT coefficients of the scaled video stream.
Roma Nuno, Sousa Leonel
openaire +3 more sources