Background Over the last decades interest has grown on how climate change impacts forest resources. However, one of the main constraints is that meteorological stations are riddled with missing climatic data.
Alonso Barrios +2 more
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Comparison of Precipitation Distributions in Precipitation Data Sets Representing 1km Spatial Resolution over South Korea Produced by PRISM, IDW, and Cokriging [PDF]
Jongchul Park, Man-Kyu Kim
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Machine Learning on Spark for the Optimal IDW-based Spatiotemporal Interpolation [PDF]
Weitian Tong +4 more
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Fazit zur Neufassung des IDW PS 980 [PDF]
Christoph Naucke, Christian Corell
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Spatial Distribution of Soil Quality Index in Saline and Sodic Soils of Urmia Lake Using Kriging and IDW Methods [PDF]
Soil quality assessment plays a crucial role in sustainable land management, particularly in degraded areas such as saline and sodic soils. This study aimed to determine the spatial distribution of the Soil Quality Index (SQI) in saline and sodic soils ...
H. Rezazadeh +3 more
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[Foreword] Welcome to the Special Section on IDW ‘22
Takahiro Ishinabe
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Comprehensive Optimization of Interferometric Diffusing Wave Spectroscopy (iDWS)
It has been shown that light speckle fluctuations provide a means for noninvasive measurements of cerebral blood flow index (CBFi). While conventional Diffuse Correlation Spectroscopy (DCS) provides marginal brain sensitivity for CBFi in adult humans, new techniques have recently emerged to improve diffuse light throughput and thus, brain sensitivity ...
Mingjun Zhao +10 more
openaire +3 more sources
Evaluating the impact of DEM interpolation algorithms on relief index for soil resource management
Soil resource management is fundamentally integral to environmental sustainability and agricultural productivity. The digital elevation model (DEM) is the fundamental data for analyzing landform surfaces, which introduces an opportunity to obtain a broad
Habib Maan +3 more
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Application of Kriging and IDW methods in mapping of crown cover and density of coppice oak forests (case study: Kakareza region, Khorramabad) [PDF]
This research was conducted to investigate the spatial structure to estimate the crown cover and density of a coppice oak forest in west of Iran (Loristan province) using Kriging and IDW (Inverse Distance Weighting) interpolation methods.
doaj
Soil fertility is a critical factor in agricultural production, directly impacting crop growth, yield, and quality. To achieve precise agricultural management, accurate spatial interpolation of soil parameters is essential.
Zuoxi Zhao +6 more
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