Geostatistical Modelling of Soil Spatial Variability by Fusing Drone-Based Multispectral Data, Ground-Based Hyperspectral and Sample Data with Change of Support

Geostatistical Modelling of Soil Spatial Variability by Fusing Drone-Based Multispectral Data, Ground-Based Hyperspectral and Sample Data with Change of Support

Traditional soil characterization methods are time consuming, laborious and invasive and do not allow for long-term repeatability of measurements. The overall aim of this paper was to assess and model spatial variability of the soil in an olive grove in south Italy by using data from two sensors of...

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Bibliographic Details
Main Authors:	Antonella Belmonte, Carmela Riefolo, Francesco Lovergine, Annamaria Castrignanò
Format:	Article
Language:	English
Published:	MDPI AG 2022-10-01
Series:	Remote Sensing
Subjects:	topsoil olive grove clay composition block cokriging granulometry multi-collocated cokriging
Online Access:	https://www.mdpi.com/2072-4292/14/21/5442

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