Prediction of soil organic matter using a spatially constrained local partial least squares regression and the Chinese vis-NIR spectral library-Reference-Cited by-同舟云学术

Prediction of soil organic matter using a spatially constrained local partial least squares regression and the Chinese vis-NIR spectral library

Published:2015-05-27 Issue:4 Volume:66 Page:679-687
ISSN:1351-0754
Container-title:European Journal of Soil Science
language:en
Short-container-title:Eur J Soil Sci

Author:

Shi Z.¹,Ji W.¹²,Viscarra Rossel R. A.³,Chen S.¹,Zhou Y.¹

Affiliation:

1. Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University; 866 Yuhangtang Road Hangzhou 310058 China

2. Department of Bioresource Engineering; McGill University; 21,111 Lakeshore Road Montreal H9X 3V9 Canada

3. CSIRO Land and Water, Bruce E. Butler Laboratory; GPO Box 1666 Canberra Australian Capital Territory 2601 Australia

Funder

National Natural Science Foundation of China

Program for New Century Excellent Talents in University

Publisher

Wiley

Subject

Soil Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/ejss.12272/fullpdf

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