Spatial prediction of soil sand content at various sampling density based on geostatistical and machine learning algorithms in plain areas

Author:

Qu Lili,Lu Huizhong,Tian ZhiyuanORCID,Schoorl J.M.ORCID,Huang Biao,Liang Yonghong,Qiu Dan,Liang Yin

Publisher

Elsevier BV

Subject

Earth-Surface Processes

Reference69 articles.

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2. Impressions of digital soil maps: The good, the not so good, and making them ever better;Arrouays;Geoderma Reg.,2020

3. Predicting soil properties in the Canadian boreal forest with limited data: Comparison of spatial and non-spatial statistical approaches;Beguin;Geoderma,2017

4. Multi-scale digital terrain analysis and feature selection for digital soil mapping;Behrens;Geoderma.,2010

5. Examining the influence of bare soil UAV imagery combined with auxiliary datasets to estimate and map soil organic carbon distribution in an erosion-prone agricultural field;Biney;Environ. Sci. Technol.,2023

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