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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Detaylı Bibliyografya
Asıl Yazarlar:	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
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2022-10-01
Seri Bilgileri:	Agronomy
Konular:	digital soil mapping pXRF terrain attributes tropical soils Oxisols Ultisols
Online Erişim:	https://www.mdpi.com/2073-4395/12/11/2699
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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

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