Use of Airborne Radar Images and Machine Learning Algorithms to Map Soil Clay, Silt, and Sand Contents in Remote Areas under the Amazon Rainforest

Use of Airborne Radar Images and Machine Learning Algorithms to Map Soil Clay, Silt, and Sand Contents in Remote Areas under the Amazon Rainforest

Soil texture has a great influence on the physical–hydric and chemical behavior of soils. In the Amazon regions, due to the presence of dense forest cover and limited access to roads, carrying out surveys and mapping of soils is challenging. When data exist, they are relatively sparse and the distri...

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Autors principals: Ana Carolina de S. Ferreira, Marcos B. Ceddia, Elias M. Costa, Érika F. M. Pinheiro, Mariana Melo do Nascimento, Gustavo M. Vasques
Format: Article
Idioma:English
Publicat: MDPI AG 2022-11-01
Col·lecció:Remote Sensing
Matèries:
digital soil mapping
soil texture
radar P-band
reference area
soil survey
Accés en línia:https://www.mdpi.com/2072-4292/14/22/5711

Internet

https://www.mdpi.com/2072-4292/14/22/5711

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