High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models

标题
High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models
作者
关键词
Agricultural soil science, Forecasting, Machine learning, Support vector machines, Paleopedology, Clay mineralogy, Cation exchange capacity, Remote sensing
出版物
PLoS One
Volume 12, Issue 1, Pages e0170478
出版商
Public Library of Science (PLoS)
发表日期
2017-01-24
DOI
10.1371/journal.pone.0170478

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now