Soil organic matter and texture estimation from visible-near infrared-shortwave infrared spectra in areas of land cover changes using correlated component regression

Author:

Rosero-Vlasova Olga A.12ORCID,Vlassova Lidia3ORCID,Pérez-Cabello Fernando12ORCID,Montorio Raquel12ORCID,Nadal-Romero Estela24ORCID

Affiliation:

1. GEOFOREST Group, Environmental Sciences Institute (IUCA); University of Zaragoza; Pedro Cerbuna 12, E-50009 Zaragoza Spain

2. Department of Geography and Land Management; University of Zaragoza; Pedro Cerbuna 12, E-50009 Zaragoza Spain

3. Department of Environmental Sciences; Technical State University of Quevedo; EC-120509 Quevedo Ecuador

4. Geo-environmental Processes and Global Change, IPE-CSIC; Pyrenean Institute of Ecology; Avda. Montañana 1005, E-50059 Zaragoza Spain

Funder

Secretaría de Educación Superior, Ciencia, Tecnología e Innovación

Universidad de Zaragoza and Santander Universidades

Marie Curie Intra-European Fellowship project “MED-AFFOREST”

Ministerio de Economía, Industria y Competitividad, Gobierno de España

Publisher

Wiley

Subject

Soil Science,General Environmental Science,Development,Environmental Chemistry

Reference85 articles.

1. Maximum likelihood identification of Gaussian autoregressive moving average models;Akaike;Biometrika,1973

2. Demographic and socioeconomic disparity in nutrition: Application of a novel correlated component regression approach;Alkerwi;BMJ Open,2015

3. What you see may not be what you get: A brief, nontechnical introduction to overfitting in regression-type models;Babyak;Psychosomatic Medicine,2004

4. Soils of the Arid Areas

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