Results 31 to 40 of about 5,570 (187)
中国科学数据, 2022 Aboveground biomass is an important parameter for the evaluation of the structure, function, quality and benefit of forest ecosystems. As Tianshan spruce is the most important tree species in the mountains of Xinjiang, the spatial data collection of ...
CAI Chaoyong +6 more
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Patchwork Kriging for Large-scale Gaussian Process Regression
J. Mach. Learn. Res., 2017 This paper presents a new approach for Gaussian process (GP) regression for large datasets. The approach involves partitioning the regression input domain into multiple local regions with a different local GP model fitted in each region. Unlike existing local partitioned GP approaches, we introduce a technique for patching together the local GP models ...
Chiwoo Park, Daniel W. Apley
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Soluble phosphorus content of Lake Balaton sediments
Journal 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
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Scaling Flux Tower Observations of Sensible Heat Flux Using Weighted Area-to-Area Regression Kriging
Atmosphere, 2015 Sensible heat flux (H) plays an important role in characterizations of land surface water and heat balance. There are various types of H measurement methods that depend on observation scale, from local-area-scale eddy covariance (EC) to regional-scale ...
Maogui Hu +6 more
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Regression and kriging analysis for grid power factor estimation
Journal of Electrical Systems and Information Technology, 2014 The measurement of power factor (PF) in electrical utility grids is a mainstay of load balancing and is also a critical element of transmission and distribution efficiency.
Rajesh Guntaka, Harley R. Myler
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Remote 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
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ISPRS 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
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Soil depth prediction supported by primary terrain attributes: a comparison of methods
Plant, Soil and Environment, 2006 The objective of this study was to investigate the benefits of methods that incorporate terrain attributes as covariates into the prediction of soil depth.
V. Penížek, L. Borůvka
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Deep Underground Science and Engineering, EarlyView.B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza +4 more
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Upscaling Sensible Heat Fluxes With Area-to-Area Regression Kriging [PDF]
IEEE 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
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