Predicting soil organic carbon content in croplands using crop rotation and Fourier transform decomposed variables-Reference-Cited by-同舟云学术

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Predicting soil organic carbon content in croplands using crop rotation and Fourier transform decomposed variables

Published:2019-04 Issue: Volume:340 Page:289-302
ISSN:0016-7061
Container-title:Geoderma
language:en
Short-container-title:Geoderma

Author:

Yang Lin^ORCID,Song Min,Zhu A-Xing,Qin Chengzhi,Zhou Chenghu,Qi Feng,Li Xinming,Chen Ziyue,Gao Binbo

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

First-class Universities

Featured Institute Construction Services Program

Publisher

Elsevier BV

Subject

Soil Science

Reference104 articles.

1. Digital mapping of soil organic carbon contents and stocks in Denmark;Adhikari;PLoS One,2014

2. Mapping vegetation-soil-climate complexes in southern Africa using temporal Fourier analysis of NOAA-AVHRR NDVI data;Azzali;Int. J. Remote Sens.,2000

3. Crop Rotations on Organic Farms;Baldwin,2006

4. Total carbon and nitrogen in the soils of the world;Batjes;Eur. J. Soil Sci.,1996

5. Hyper-scale digital soil mapping and soil formation analysis;Behrens;Geoderma,2014

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