Results 41 to 50 of about 32,193 (219)

Soluble phosphorus content of Lake Balaton sediments

open access: yesJournal of Maps, 2022
Lake Balaton has undergone rapid eutrophication in the last decades causing dramatic deterioration in water quality. Although water quality has been successfully improved, significant algal blooms have been experienced over the past years again.
Mihály Kocsis   +11 more
doaj   +1 more source

Two-Step Downscaling of Trmm 3b43 V7 Precipitation in Contrasting Climatic Regions With Sparse Monitoring: The Case of Ecuador in Tropical South America

open access: yesRemote Sensing, 2017
Spatial prediction of precipitation with high resolution is a challenging task in regions with strong climate variability and scarce monitoring. For this purpose, the quasi-continuous supply of information from satellite imagery is commonly used to ...
Jacinto Ulloa   +3 more
doaj   +1 more source

Polynomial-Chaos-based Kriging

open access: yes, 2015
Computer simulation has become the standard tool in many engineering fields for designing and optimizing systems, as well as for assessing their reliability.
Schoebi, R., Sudret, B., Wiart, J.
core   +1 more source

Cost-efficient modeling of antenna structures using Gradient Enhanced Kriging [PDF]

open access: yes, 2015
Reliable yet fast surrogate models are indispensable in the design of contemporary antenna structures. Data-driven models, e.g., based on Gaussian Processes or support-vector regression, offer sufficient flexibility and speed, however, their setup cost ...
Bekasiewicz, A   +5 more
core   +2 more sources

Integrating Logistic Regression and Geostatistics for User-Oriented and Uncertainty-Informed Accuracy Characterization in Remotely-Sensed Land Cover Change Information

open access: yesISPRS International Journal of Geo-Information, 2016
Accuracy is increasingly recognized as an important dimension in geospatial information and analyses. A strategy well suited for map users who usually have limited information about map lineages is proposed for location-specific characterization of ...
Jingxiong Zhang, Yingying Mei
doaj   +1 more source

Application of DInSAR-GPS optimization for derivation of fine-scale surface motion maps of Southern California [PDF]

open access: yes, 2007
A method based on random field theory and Gibbs-Markov random fields equivalency within Bayesian statistical framework is used to derive 3-D surface motion maps from sparse global positioning system (GPS) measurements and differential interferometric ...
Li, Z.   +3 more
core   +1 more source

Upscaling Sensible Heat Fluxes With Area-to-Area Regression Kriging [PDF]

open access: yesIEEE Geoscience and Remote Sensing Letters, 2015
Surface sensible heat flux (SHF) is a critical indicator for understanding heat exchange at the land-atmosphere interface. A common method for estimating regional SHF is to use ground observations with approaches such as eddy correlation (EC) or the use of a large aperture scintillometer (LAS).
Yong Ge   +4 more
openaire   +1 more source

Late‐Onset Rheumatoid Arthritis and Air Pollution in the Multiethnic Cohort

open access: yesArthritis &Rheumatology, EarlyView.
Objective To evaluate the effects of ambient air pollution on rheumatoid arthritis (RA) incidence in a racially and ethnically diverse population. Methods This analysis included 42,152 California Multiethnic Cohort participants, aged ≥65 years (>70% African American and Latino adults) who were enrolled in the Fee For Service component of Medicare (2001–
Anna H. Wu   +14 more
wiley   +1 more source

Subsurface Geological Profile Interpolation Using a Fractional Kriging Method Enhanced by Random Forest Regression

open access: yesFractal and Fractional
Analyzing geological profiles is of great importance for various applications such as natural resource management, environmental assessment, and mining engineering projects.
Qile Ding   +7 more
doaj   +1 more source

An adjoint for likelihood maximization [PDF]

open access: yes, 2009
The process of likelihood maximization can be found in many different areas of computational modelling. However, the construction of such models via likelihood maximization requires the solution of a difficult multi-modal optimization problem involving ...
Alexander I J Forrester   +5 more
core   +1 more source

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