Assessing the impact of sampling strategy in random forest-based predicting of soil nutrients: a study case from northern Morocco
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F22%3A92304" target="_blank" >RIV/60460709:41210/22:92304 - isvavai.cz</a>
Result on the web
<a href="https://www.tandfonline.com/doi/full/10.1080/10106049.2022.2048091" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/10106049.2022.2048091</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/10106049.2022.2048091" target="_blank" >10.1080/10106049.2022.2048091</a>
Alternative languages
Result language
angličtina
Original language name
Assessing the impact of sampling strategy in random forest-based predicting of soil nutrients: a study case from northern Morocco
Original language description
In this work, we tested different combinations of sampling strategies, random sampling and conditioned Latin Hypercube sampling and sample ratios to predict soil phosporus and potassium contents, previously estimated using dtandard laboratory protocols. Other environmental covariates, used as input data for prediction, were obtained from different sources (multispectral Landsat-OLI 8 image, WorldClim database, ISRIC soil database, and ASTER-GDEM). Our findings showed that random sampling was suitable for predicting phosphorus, while the conditioned Latin Hypercube sampling was suitable for predicting potassium. Furthermore, we observed that when the sample ratio increased from 10 to 25%, model accuracy improved in random sampling and cLHS for phosphorus and potassium prediction. However, before generalizing these findings, we recommend that further studies be conducted under different conditions (climate, soil types and parent materials) and testing other sample ratios to determine the best sampling strategy with the optimum ratio to predict soil nutrients better.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40104 - Soil science
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Geocarto Imnternational
ISSN
1010-6049
e-ISSN
1010-6049
Volume of the periodical
37
Issue of the periodical within the volume
26
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
14
Pages from-to
11209-11222
UT code for WoS article
000769901700001
EID of the result in the Scopus database
2-s2.0-85126724711