Prediction of the soil organic carbon in the LUCAS soil database based on spectral clustering

IF 1.7 4区农林科学 Q4 SOIL SCIENCE

Soil and Water Research Pub Date : 2023-01-23 DOI:10.17221/97/2022-swr

Baoyang Liu, B. Guo, Renxiong Zhuo, Fan Dai, Haoyuan Chi

引用次数: 0

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基于光谱聚类的LUCAS土壤数据库土壤有机碳预测

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Soil and Water Research Water resources, Soil Science, Agriculture-WATER RESOURCES

CiteScore

4.60

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： An international peer-reviewed journal published under the auspices of the Czech Academy of Agricultural Sciences and financed by the Ministry of Agriculture of the Czech Republic. Published since 2006. Thematic: original papers, short communications and critical reviews from all fields of science and engineering related to soil and water and their interactions in natural and man-modified landscapes, with a particular focus on agricultural land use. The fields encompassed include, but are not limited to, the basic and applied soil science, soil hydrology, irrigation and drainage of lands, hydrology, management and revitalisation of small water streams and small water reservoirs, including fishponds, soil erosion research and control, drought and flood control, wetland restoration and protection, surface and ground water protection in therms of their quantity and quality.