Results 1 to 10 of about 5,570 (187)
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
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
Journal of Integrative Agriculture, 2013 The spatial interpolation for soil texture does not necessarily satisfy the constant sum and nonnegativity constraints. Meanwhile, although numeric and categorical variables have been used as auxiliary variables to improve prediction accuracy of soil ...
Shi-wen ZHANG +5 more
doaj +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
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
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
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
doaj +1 more source
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
doaj +1 more source