Combining Proximal and Remote Sensors in Spatial Prediction of Five Micronutrients and Soil Texture in a Case Study at Farmland Scale in Southeastern Brazil

Combining Proximal and Remote Sensors in Spatial Prediction of Five Micronutrients and Soil Texture in a Case Study at Farmland Scale in Southeastern Brazil

Despite the increasing adoption of proximal sensors worldwide, rare works have coupled proximal with remotely sensed data to spatially predict soil properties. This study evaluated the contribution of proximal and remotely sensed data to predict soil texture and available contents of micronutrients...

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Bibliographic Details
Main Authors: Luiza Maria Pereira Pierangeli, Sérgio Henrique Godinho Silva, Anita Fernanda dos Santos Teixeira, Marcelo Mancini, Renata Andrade, Michele Duarte de Menezes, João José Marques, David C. Weindorf, Nilton Curi
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Agronomy
Subjects:
digital soil mapping
pXRF
terrain attributes
tropical soils
Oxisols
Ultisols
Online Access:https://www.mdpi.com/2073-4395/12/11/2699

Internet

https://www.mdpi.com/2073-4395/12/11/2699

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