A linear mixed effect (LME) model for soil water content estimation based on geophysical sensing: a comparison of an LME model and kriging with external drift

Author:

Cafarelli Barbara,Castrignanò Annamaria,De Benedetto Daniela,Palumbo Angelo Domenico,Buttafuoco Gabriele

Publisher

Springer Science and Business Media LLC

Subject

Earth-Surface Processes,Geology,Pollution,Soil Science,Water Science and Technology,Environmental Chemistry,Global and Planetary Change

Reference52 articles.

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2. Adamchuk VI, Viscarra Rossel RA, Sudduth KA, Schulze Lammers P (2011b) Sensor fusion for precision agriculture. In: Thomas C (ed) Sensor fusion—foundation and applications. InTech, Rijeka, pp 27–40

3. Beguería S, Pueyo Y (2009) A comparison of simultaneous autoregressive and generalized least squares models for dealing with spatial autocorrelation. Glob Ecol Biogeogr 18:273–279

4. Behrens T, Scholten T (2007) A Comparison of Data-Mining Techniques in Predictive Soil Mapping. In: Lagacherie P, McBratney AB, Voltz M (eds) Digital soil mapping, an introductory perspective. Developments in soil science, Elsevier, Amsterdam, pp 353–364

5. Ben-Dor E, Levin N, Singer A, Karnieli A, Braun O, Kidron GJ (2006) Quantitative mapping of the soil rubification process on sand dunes using an airborne hyperspectral sensor. Geoderma 131:1–21

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