Results 11 to 20 of about 5,604 (198)
GEOSTATISTICAL SOLUTIONS FOR DOWNSCALING REMOTELY SENSED LAND SURFACE TEMPERATURE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Remotely sensed land surface temperature (LST) downscaling is an important issue in remote sensing. Geostatistical methods have shown their applicability in downscaling multi/hyperspectral images.
Q. Wang +4 more
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Remote Sensing, 2023 Many radar-gauge merging methods have been developed to produce improved rainfall data by leveraging the advantages of gauge and radar observations.
Wenzhao Li +4 more
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Review of Dace-Kriging Metamodel [PDF]
Interdisciplinary Description of Complex Systems, 2023 This paper presents a conceptual review of the kriging metamodel that is introduced for the design and analysis of computer experiments (DACE). Kriging is a statistical interpolation method to build an approximation model from a set of evaluations of the
Muzaffer Balaban
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Modeling the distribution of invasive species (Ambrosia spp.) using regression kriging and Maxent
Frontiers in Ecology and Evolution, 2022 Invasion by non-native species due to human activities is a major threat to biodiversity. The niche hypothesis for invasive species that rapidly disperse and disturb ecosystems is easily discarded owing to eradication activities or unsaturated dispersal.
Ki Hwan Cho +4 more
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MAPPING OF SOIL ORGANIC CARBON CONTENT AND STOCK AT THE REGIONAL AND LOCAL LEVELS: THE ANALYSIS OF MODERN METHODOLOGICAL APPROACHES [PDF]
Вопросы лесной науки, 2023 This paper provides an overview of scientific publications in Russia and other countries devoted to the soil organic carbon (SOC) content and stocks mapping at regional and local levels.
N.V. Gopp +4 more
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Spatial prediction of soil properties in two contrasting physiographic regions in Brazil
Scientia Agricola, 2016 This study compared the performance of ordinary kriging (OK) and regression kriging (RK) to predict soil physical-chemical properties in topsoil (0-15 cm).
Michele Duarte de Menezes +4 more
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Tropical Agricultural Research, 2018 This study was conducted to explore performances of multivariate geostatistical techniques, co-kriging and regression kriging in contrast to univariate ordinary kriging, to generate detailed maps of soil texture by using proximally sensed apparent ...
R. A. A. S. Rathnayaka +2 more
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Regression and Classification by Zonal Kriging
CoRR, 2018 Consider a family $Z=\{\boldsymbol{x_{i}},y_{i}$,$1\leq i\leq N\}$ of $N$ pairs of vectors $\boldsymbol{x_{i}} \in \mathbb{R}^d$ and scalars $y_{i}$ that we aim to predict for a new sample vector $\mathbf{x}_0$. Kriging models $y$ as a sum of a deterministic function $m$, a drift which depends on the point $\boldsymbol{x}$, and a random function $z ...
Jean Serra +2 more
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Soil and Water Research, 2013 North Bohemia belongs to one of the most heavily industrialized and polluted regions in Europe. The enormous acid deposition which culminated in the 1970s has largely contributed to the accelerated acidification process in the soils and consequently to ...
Radim VAŠÁT +4 more
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Augmenting Geostatistics with Matrix Factorization: A Case Study for House Price Estimation
ISPRS International Journal of Geo-Information, 2020 Singular value decomposition (SVD) is ubiquitously used in recommendation systems to estimate and predict values based on latent features obtained through matrix factorization.
Aisha Sikder, Andreas Züfle
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