测绘通报 ›› 2023, Vol. 0 ›› Issue (3): 150-154.doi: 10.13474/j.cnki.11-2246.2023.0089

• 技术交流 • 上一篇    下一篇

基于地理国情的高标准农田监测与评价

岳永胜, 贺永康, 罗志远   

  1. 自然资源部第二地形测量队, 陕西 西安 710054
  • 收稿日期:2022-02-24 修回日期:2022-11-18 发布日期:2023-04-04
  • 作者简介:岳永胜(1984-),男,硕士,高级工程师,现从事自然资源管理与空间地理信息技术工作。E-mail:yuezrzy@126.com
  • 基金资助:
    陕西测绘地理信息局科技创新项目(SCK2021-04)

Monitoring and evaluation of high-standard farmland based on geographical conditions

YUE Yongsheng, HE Yongkang, LUO Zhiyuan   

  1. The Second Topographic Surveying Brigade of Ministry of Natural Resources, Xi'an 710054, China
  • Received:2022-02-24 Revised:2022-11-18 Published:2023-04-04

摘要: “非粮化”和利用情况监测是高标准农田建设后利用管理的重要内容。本文从高标准农田的自然属性、生态属性、区位属性、“非粮化”4个方面构建评价指标,采用特尔菲法确定指标权重,在高标准农田地块基础上叠加地理国情监测数据,通过空间分析获取指标值,对高标准农田建设和利用的现状进行监测和评价。研究结果表明,在高标准农田监测内容中,区位属性和“非粮化”的指标相对较好,自然属性和生态属性的指标表现不佳,其中土壤有机质含量比和防护林有效度表现较差。本文构建的指标体系合理有效,指标数据获取方法可行,能够达到监测和评价高标准农田建设成效的目标。

关键词: 高标准农田, 地理国情监测, 空间分析, 非粮化, 评价

Abstract: “Non-grain” and utilization monitoring are important contents of utilization management after construction of high-standard farmland. Evaluation indexes are constructed from four aspects in this paper:natural attribute, ecological attribute, location attribute and non-grain, and the index weight are determined by Delphi method. Overlaying the geographical monitoring data on the basis of high-standard farmland plots, the index values are obtained through spatial analysis to monitor and evaluate the current situation of high-standard farmland construction and utilization. The results show that the indexes of location attribute and "Non-grain"are relatively good, and that of natural attribute and ecological attribute are not good with the poor performance of the ratio of soil organic matter content and the effectiveness of shelter belt in them. The index system established in this study is reasonable and effective, and the method of index data acquisition is feasible, which can achieve the goal of monitoring and evaluating the effectiveness of high-standard farmland construction.

Key words: high-standard farmland, geographical conditions monitoring, spatial analysis, non-grain, evaluation

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