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...

Полное описание

Библиографические подробности

Главные авторы:	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
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2022-10-01
Серии:	Agronomy
Предметы:	digital soil mapping pXRF terrain attributes tropical soils Oxisols Ultisols
Online-ссылка:	https://www.mdpi.com/2073-4395/12/11/2699
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