Developing predictive soil C models for soils using quantitative color measurements
Author:
Affiliation:
1. Univ. of California Davis; Dep. of Land Air and Water Resources Plant and Environmental Sciences; 1 Shields Ave. Davis CA 95816
2. Natural Resource Conservation Service Sonora MLRA Soil Survey Office; 19777 Greenley Rd. Sonora CA 95370
Publisher
Wiley
Subject
Soil Science
Link
http://onlinelibrary.wiley.com/wol1/doi/10.2136/sssaj2013.02.0057/fullpdf
Reference35 articles.
1. The carbon budget in soils;Amundson;Annu. Rev. Earth Planet. Sci.,2001
2. Spectrophotometric color measurements in situ in well drained sandy soils;Barrett;Geoderma,2002
3. Spectral reflectance based indices for soil organic carbon quantification;Bartholomeus;Geoderma,2008
4. Reflectance properties of soils;Baumgardner;Adv. Agron.,1985
5. Near-infrared (NIR) and mid-infrared (MIR) spectroscopic techniques for assessing the amount of carbon stocks in soils-Critical review and research perspectives;Bellon-Maurel;Soil Biol. Biochem.,2011
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