| 耕地质量空间插值方法的研究进展与展望 |
| |
| 引用本文： | 任艳敏,郜允兵,刘玉. 耕地质量空间插值方法的研究进展与展望[J]. 中国农学通报, 2021, 37(12): 45-50. DOI: 10.11924/j.issn.1000-6850.casb2020-0404 |
| |
| 作者姓名： | 任艳敏 郜允兵 刘玉 |
| |
| 作者单位： | 1.北京农业信息技术研究中心,北京 100097;2.国家农业信息化工程技术研究中心,北京 100097;3.农业部农业信息技术重点实验室,北京 100097 |
| |
| 基金项目： | 国家重点研发计划课题“土壤污染物动态长期定位调查仪及智能分析系统研发与应用示范”(2017YFD0801205);北京市自然科学基金面上项目“生态涵养区乡村地域功能识别与发展路径研究”(9192010);北京市农林科学院科技创新能力建设专项“京津冀农产品产地土壤重金属污染高风险区识别技术研究”(KJCX20200414) |
| |
| 摘 要： | 构建高效、规范化的空间插值方法,快速、准确获取县域乃至全国的耕地质量指标分布图,是建设耕地质量大数据平台、服务宏观决策亟待解决的重要问题.本研究通过文献梳理和研究述评,归纳了目前空间插值方法的概念、流程,明晰了其精度影响因素以及在耕地质量监测评价中的应用现状.结论:为满足耕地质量大数据平台建设的实际应用需求,未来需从4...
|
| 关 键 词： | 耕地质量 土壤 空间变异 插值 数据处理 |
| 收稿时间： | 2020-08-25 |
Research Progress and Prospect of Spatial Interpolation Method for Cultivated Land Quality |
| |
| Ren Yanmin,Gao Yunbing,Liu Yu. Research Progress and Prospect of Spatial Interpolation Method for Cultivated Land Quality[J]. Chinese Agricultural Science Bulletin, 2021, 37(12): 45-50. DOI: 10.11924/j.issn.1000-6850.casb2020-0404 |
| |
| Authors: | Ren Yanmin Gao Yunbing Liu Yu |
| |
| Affiliation: | 1.Beijing Agricultural Information Technology Research Center, Beijing 100097;2.National Agricultural Informatization Engineering Technology Research Center, Beijing 100097;3.Key Laboratory of Agricultural Information Technology, Ministry of Agriculture, Beijing 100097 |
| |
| Abstract: | Constructing an efficient and standardized spatial interpolation method is an important issue for building the big data platform for cultivated land quality and serving macroscopic decision-making, and is conducive to quickly and accurately obtain the distribution map of cultivated land quality indicators of counties and even the whole country. Through literature and research review, this study summarized the current concept and process of spatial interpolation method, and clarified its precision influencing factors and application status in monitoring and evaluation of cultivated land quality. Combined with the actual application requirements of the big data platform for cultivated land quality, four in-depth research directions were put forward, including regional interpolation, geographic barriers interpolation, auxiliary variables interpolation, and module design of interpolation. The research results could provide method reference for the standardized processing of cultivated land quality data. |
| |
| Keywords: | cultivated land quality soil spatial variability interpolation data processing |
|
| 点击此处可从《中国农学通报》浏览原始摘要信息 |
|
点击此处可从《中国农学通报》下载全文 |
|
