Application of Ordinary Kriging and Regression Kriging Method for Soil Properties Mapping in Hilly Region of Central Vietnam [PDF]
ISPRS International Journal of Geo-Information, 2019 Soil property maps are essential resources for agricultural land use. However, soil properties mapping is costly and time-consuming, especially in the regions with complicated topographic conditions.
Tung Gia Pham +3 more
doaj +5 more sources
Temperature prediction based on a space-time regression-kriging model. [PDF]
J Appl Stat, 2020 Many phenomena exist in the space-time domain, often with a low data sampling rate and sparsely distributed network of observed points. Therefore, spatio-temporal interpolation with high accuracy is necessary. In this paper, a space-time regression-kriging model was introduced and applied to monthly average temperature data.
Li S, Griffith DA, Shu H.
europepmc +3 more sources
Uncertainty quantification in DIC with Kriging regression [PDF]
Optics and Lasers in Engineering, 2016 A Kriging regression model is developed as a post-processing technique for the treatment of measurement uncertainty in classical subset-based Digital Image Correlation (DIC). Regression is achieved by regularising the sample-point correlation matrix using a local, subset-based, assessment of the measurement error with assumed statistical normality and ...
Weizhuo Wang +2 more
exaly +3 more sources
Regression Kriging in the Productive Capacity of Planted Forests [PDF]
Floresta e AmbienteThe objective of this study was to evaluate the classification of productive capacity in eucalyptus stands using regression kriging. The study was carried out in 62 stands with clonal plantations of Eucalyptus sp.
Emanuel José Gomes de Araújo +7 more
doaj +2 more sources
Prediction by Regression and kriging for Spatial Data with Application [PDF]
المجلة العراقية للعلوم الاحصائية, 2011 This study deals with the prediction of the non-stationary spatial stochastic process. The prediction is done by two techniques which are regression technique (generalized least square estimation) and universal kriging technique.
doaj +3 more sources
Digital Mapping of Soil Organic Carbon Based on Machine Learning and Regression Kriging [PDF]
Sensors, 2022 Zhaofu Li, Fubin Zhu, Wenhao Lu
exaly +2 more sources
Area-to-point regression kriging for pan-sharpening
ISPRS Journal of Photogrammetry and Remote Sensing, 2016 Pan-sharpening is a technique to combine the fine spatial resolution panchromatic (PAN) band with the coarse spatial resolution multispectral bands of the same satellite to create a fine spatial resolution multispectral image. In this paper, area-to-point regression kriging (ATPRK) is proposed for pan-sharpening.
Wenzhong Shi +2 more
exaly +3 more sources
Evaluation and Comparison of Interpolation and Linear Regression Methods to Determine the Spatial Distribution of Precipitation in Chaharmahal and Bakhtiari Province, Iran [PDF]
محیط زیست و مهندسی آب, 2022 In the present study, simple and ordinary kriging methods, inverse distance and linear regression based on digital elevation model of the earth were evaluated for estimating annual rainfall using twenty-year statistics of precipitation data (1998-2018 ...
Farzaneh Fotouhi Firoozabad +1 more
doaj +1 more source
Fire, 2023 Patterns of spatial heterogeneity in forests and other fire-prone ecosystems are increasingly recognized as critical for predicting fire behavior and subsequent fire effects.
Chad M. Hoffman +4 more
doaj +1 more source
Object-Based Area-to-Point Regression Kriging for Pansharpening [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2021 IEEE Optical earth observation satellite sensors often provide a coarse spatial resolution (CR) multispectral (MS) image together with a fine spatial resolution (FR) panchromatic (PAN) image. Pansharpening is a technique applied to such satellite sensor images to generate an FR MS image by injecting spatial detail taken from the FR PAN image while ...
Yihang Zhang 0001 +7 more
openaire +1 more source