Results 1 to 10 of about 32,562 (111)
Raster data projection transformation based-on Kriging interpolation approximate grid algorithm
To solve the problems of small area, slow calculation speed and low precision in the projection transformation algorithm of raster data, the idea of using Kriging interpolation approximate grid algorithm for raster data projection transformation is ...
Junzhen Meng
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The Ordinary Kriging method is a common spatial interpolation algorithm in geostatistics. Because the semivariogram required for kriging interpolation greatly influences this process, optimal fitting of the semivariogram is of major significance for ...
Yang Li +3 more
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【Objective】 Canopy temperature varies with leaf water content and can be used as a proxy of crop water deficit. In this paper, we compare different interpolation methods for calculating spatial distribution of crop water deficit based on canopy ...
ZHANG Minne +3 more
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Dispersion Curve Interpolation Based on Kriging Method
Volcanic eruptions significantly impact human life. However, real-time high-precision imaging in this context still has limitations. Spatial–temporal interpolation can replace real-time data imaging, in order to obtain the state of a given volcano at any
Han Zhang, You Tian, Pengfei Zhao
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A GIS-Based Study of Air and Water Quality Trends in Madurai City, India [PDF]
The objective of this study is to assess the air quality and water quality at Madurai city using the spatial interpolation technique of the Geographic Information System (GIS).
L. Balaji, M. Muthukannan and R. Kanniga Devi
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Super-Resolution Reconstruction of Depth Image Based on Kriging Interpolation
The super-resolution of depth images is a research hotspot. In this study, the classical Kriging algorithm is applied to the spatial interpolation of depth images, together with the fractional-order differential method for edge recognition, to realise ...
Tingsheng Huang +4 more
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Mapping spatial variations in tree density and woody species diversity, as indicators of intactness of tropical forests and woodlands, is potentially useful to nature conservation managers.
C. Munyati, N.I. Sinthumule
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Random Forest Spatial Interpolation
For many decades, kriging and deterministic interpolation techniques, such as inverse distance weighting and nearest neighbour interpolation, have been the most popular spatial interpolation techniques.
Aleksandar Sekulić +4 more
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Application of a four-dimensional space fractal interpolation algorithm in grade estimation
Kriging interpolation is a widely used low-pass filter interpolation method, but it cannot reconstruct the high-frequency, low-frequency and partial information of original information.
HU Nai-lian +3 more
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Available accurate and reliable precipitation data are so important in water resources management and planning. In this study,to determine the best method of regional precipitation estimate in Khuzestan province, estimated daily precipitation data from ...
M. Jamei +2 more
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