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Ground truth data vs extracted data from interpolated ground truth of soil clay, silt and sand fractions with bulk density

Ground truth data vs extracted data from interpolated ground truth of soil clay, silt and sand fractions with bulk density

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Fig. 1. The location of the study area with soil sampling locations...
Fig. 3. Ground truth data vs SoilGrids data of soil clay, silt and sand...
Fig. 5. Ground truth data vs extracted data from interpolated ground...
The accuracy of SoilGrids layers according to the ground truth soil...
Enhancing Soil Texture and Bulk Density Mapping Using Soil Grids and Machine Learning: A Comparative Analysis With Observed Data
Article
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  • Oct 2024
Digital soil mapping plays a crucial role in understanding soil variability and informing sustainable land management practices. This study focuses on the Kurdistan Region of Iraq (KRI), evaluating the accuracy of SoilGrids, a global-scale soil mapping initiative, and exploring the efficacy of machine learning algorithms in refining soil properties...
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Context 1
... techniques play a pivotal role in filling spatial data gaps and providing comprehensive soil property estimates. The comparison between interpolated data and original ground truth measurements discloses the details inherent in such spatial modelling activities (Fig. 4, Fig. 5 ...
Context 2
... techniques play a pivotal role in filling spatial data gaps and providing comprehensive soil property estimates. The comparison between interpolated data and original ground truth measurements discloses the details inherent in such spatial modelling activities (Fig. 4, Fig. 5 ...
Context 3
... techniques play a pivotal role in filling spatial data gaps and providing comprehensive soil property estimates. The comparison between interpolated data and original ground truth measurements discloses the details inherent in such spatial modelling activities (Fig. 4, Fig. 5 ...