Optimal layout of county scale monitoring points for cultivated land quality based on Cokriging

Optimizing the layout of monitoring sample points according to the spatial distribution characteristics of cultivated land quality can improve the monitoring efficiency and accuracy of cultivated land quality. In this paper, the environmental factors that change synergistically with cultivated land...

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Autores principales:	KUANG Shan, HU Yueming, LIU Zhenhua, YANG Hao, LIU Luo, XIE Yingkai
Formato:	article
Lenguaje:	ZH
Publicado:	Agro-Environmental Protection Institute, Ministry of Agriculture 2021
Materias:	cultivated land quality monitoring sample layout cokriging Agriculture (General) S1-972 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/5eeb3dc41e4f46a481e7a38bdf01f4fa
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spelling	oai:doaj.org-article:5eeb3dc41e4f46a481e7a38bdf01f4fa2021-12-03T02:29:42ZOptimal layout of county scale monitoring points for cultivated land quality based on Cokriging2095-681910.13254/j.jare.2021.0608https://doaj.org/article/5eeb3dc41e4f46a481e7a38bdf01f4fa2021-11-01T00:00:00Zhttp://www.aed.org.cn/nyzyyhjxb/html/2021/6/20210609.htmhttps://doaj.org/toc/2095-6819Optimizing the layout of monitoring sample points according to the spatial distribution characteristics of cultivated land quality can improve the monitoring efficiency and accuracy of cultivated land quality. In this paper, the environmental factors that change synergistically with cultivated land quality were selected as auxiliary variables, the spatial variation characteristics of cultivated land quality were analyzed by geostatistics, and the layout scheme of cultivated land quality monitoring sample points was optimized by Cokriging method. The results showed that the interpolation accuracy of 66 monitoring points obtained by Cokriging under the optimal(5 km×5 km) grid interval was better than that of ordinary Kriging under the small(2 km×2 km) grid interval; Under the same grid layout, the interpolation accuracy of monitoring points obtained by Cokriging method was better than that of ordinary Kriging. This shows that the Cokriging method combined with easily obtained auxiliary variable information can optimize the layout of cultivated land quality monitoring points, obtain the sample point scheme with fewer monitoring points, reduce the cost and improve the accuracy of cultivated land quality monitoring.KUANG ShanHU YuemingLIU ZhenhuaYANG HaoLIU LuoXIE YingkaiAgro-Environmental Protection Institute, Ministry of Agriculturearticlecultivated land qualitymonitoringsample layoutcokrigingAgriculture (General)S1-972Environmental sciencesGE1-350ZHJournal of Agricultural Resources and Environment, Vol 38, Iss 6, Pp 1020-1028 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	cultivated land quality monitoring sample layout cokriging Agriculture (General) S1-972 Environmental sciences GE1-350
spellingShingle	cultivated land quality monitoring sample layout cokriging Agriculture (General) S1-972 Environmental sciences GE1-350 KUANG Shan HU Yueming LIU Zhenhua YANG Hao LIU Luo XIE Yingkai Optimal layout of county scale monitoring points for cultivated land quality based on Cokriging
description	Optimizing the layout of monitoring sample points according to the spatial distribution characteristics of cultivated land quality can improve the monitoring efficiency and accuracy of cultivated land quality. In this paper, the environmental factors that change synergistically with cultivated land quality were selected as auxiliary variables, the spatial variation characteristics of cultivated land quality were analyzed by geostatistics, and the layout scheme of cultivated land quality monitoring sample points was optimized by Cokriging method. The results showed that the interpolation accuracy of 66 monitoring points obtained by Cokriging under the optimal(5 km×5 km) grid interval was better than that of ordinary Kriging under the small(2 km×2 km) grid interval; Under the same grid layout, the interpolation accuracy of monitoring points obtained by Cokriging method was better than that of ordinary Kriging. This shows that the Cokriging method combined with easily obtained auxiliary variable information can optimize the layout of cultivated land quality monitoring points, obtain the sample point scheme with fewer monitoring points, reduce the cost and improve the accuracy of cultivated land quality monitoring.
format	article
author	KUANG Shan HU Yueming LIU Zhenhua YANG Hao LIU Luo XIE Yingkai
author_facet	KUANG Shan HU Yueming LIU Zhenhua YANG Hao LIU Luo XIE Yingkai
author_sort	KUANG Shan
title	Optimal layout of county scale monitoring points for cultivated land quality based on Cokriging
title_short	Optimal layout of county scale monitoring points for cultivated land quality based on Cokriging
title_full	Optimal layout of county scale monitoring points for cultivated land quality based on Cokriging
title_fullStr	Optimal layout of county scale monitoring points for cultivated land quality based on Cokriging
title_full_unstemmed	Optimal layout of county scale monitoring points for cultivated land quality based on Cokriging
title_sort	optimal layout of county scale monitoring points for cultivated land quality based on cokriging
publisher	Agro-Environmental Protection Institute, Ministry of Agriculture
publishDate	2021
url	https://doaj.org/article/5eeb3dc41e4f46a481e7a38bdf01f4fa
work_keys_str_mv	AT kuangshan optimallayoutofcountyscalemonitoringpointsforcultivatedlandqualitybasedoncokriging AT huyueming optimallayoutofcountyscalemonitoringpointsforcultivatedlandqualitybasedoncokriging AT liuzhenhua optimallayoutofcountyscalemonitoringpointsforcultivatedlandqualitybasedoncokriging AT yanghao optimallayoutofcountyscalemonitoringpointsforcultivatedlandqualitybasedoncokriging AT liuluo optimallayoutofcountyscalemonitoringpointsforcultivatedlandqualitybasedoncokriging AT xieyingkai optimallayoutofcountyscalemonitoringpointsforcultivatedlandqualitybasedoncokriging
_version_	1718373932387532800

Optimal layout of county scale monitoring points for cultivated land quality based on Cokriging

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