Jul 6, 2024 · The goal of this study was the spatial processing and showcasing selected soil properties (available water capacity, total organic carbon content and the ...

Sep 2, 2024 · Figure 2 depicts the spatial distribution of the probability of occurrence for desired annual precipitation, interpolated by IDW and classified into five bands.

Apr 15, 2024 · This study aims to improve the accuracy of yield predictions by combining remote sensing data with environmental variables.

Jul 22, 2024 · This paper explores the K-Nearest Neighbor (KNN) method to construct multi-layer aquitard structure in the hinterland of Songnen Plain, Northeast China, with ...

Apr 26, 2024 · The temporal and spatial behavior of soil moisture has a highly non-linear pattern, which hampers multilinear regression and favors machine learning algorithms.

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Jul 28, 2024 · This edition combines a great set of theoretical developments, application examples in several fields including the traditional mining engineering, a new ...

Jun 5, 2024 · The spatial interpolation algorithm is a method of calculating spatial distribution data based on location information. The fundamental principle underlying ...

Jun 2, 2024 · The Journal publishes original research/review papers covering almost all aspects of environment like monitoring, control and management of air, water, soil and ...

Jul 24, 2024 · The results obtained show that the IDW method provides interpolation results that are ... These results indicate that the lithology predicted by the KNN algorithm ...