Using Pseudo-Color Maps and Machine Learning Methods to Estimate Long-Term Salinity of Soils

Using Pseudo-Color Maps and Machine Learning Methods to Estimate Long-Term Salinity of Soils

Soil salinity assessment methods based on remote sensing data are a common topic of scientific research. However, the developed methods, as a rule, estimate relatively small areas of the land surface at certain moments of the season, tied to the timing of ground surveys. Considerable variability of...

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Bibliographic Details
Main Authors: Ravil I. Mukhamediev, Alexey Terekhov, Yedilkhan Amirgaliyev, Yelena Popova, Dmitry Malakhov, Yan Kuchin, Gulshat Sagatdinova, Adilkhan Symagulov, Elena Muhamedijeva, Pavel Gricenko
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Agronomy
Subjects:
remote sensing
machine learning
soil salinity
Online Access:https://www.mdpi.com/2073-4395/14/9/2103

Internet

https://www.mdpi.com/2073-4395/14/9/2103

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