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遥感技术在高标准农田中的应用研究

马春芽 范永申 曹华 詹伟 曹引波 李鹏

灌溉排水学报2025,Vol.44Issue(12):76-81,6.
灌溉排水学报2025,Vol.44Issue(12):76-81,6.DOI:10.13522/j.cnki.ggps.2025099

遥感技术在高标准农田中的应用研究

The application of remote sensing technology in high-yield farmland:A review

马春芽 1范永申 1曹华 1詹伟 1曹引波 1李鹏1

作者信息

  • 1. 中国农业科学院 农田灌溉研究所/河南省节水农业重点实验室,河南 新乡 453002
  • 折叠

摘要

Abstract

[Objective]Remote sensing(RS)has advantage of large-scale coverage,rapid acquisition and multi-dimensional data support.It has been widely used in construction of high-standard farmland(HSF)and become an indispensable tool for optimizing HSF planning and management.This paper reviews the application of RS in HSF construction,its advantages and limitations,and its future development.[Method]Our analysis was based on application of RS in both Chian and worldwide;it covers technical reports,policy documents related to RS applications in HSF construction.[Result]The application of RS in HSF construction involve three stages.In planning and design stage,integrating multi-source RS data helps select HSF site,optimize layout of irrigation and drainage system,road networks,and other key infrastructures.In construction stage,RS can establish a three-tier dynamic monitoring system to realize full-element,real-time tracking of the construction progress and quality.In monitoring and evaluation stage,RS can monitor and assess soil quality,production capacity,and ecological benefits of HSF.[Conclusion]Despite its advantages,RS still faces challenges in HSF applications.The bottlenecks are multi-source data fusion and its efficient processing,and the difficulties in improving accuracy and credibility of intelligent interpretation of HSF-related information.Future efforts should focus on strengthening technological innovation and management improvement.

关键词

遥感技术/高标准农田/优势/挑战

Key words

remote sensing technology/high-standard farmland/advantages/challenges

分类

农业科技

引用本文复制引用

马春芽,范永申,曹华,詹伟,曹引波,李鹏..遥感技术在高标准农田中的应用研究[J].灌溉排水学报,2025,44(12):76-81,6.

基金项目

河南省自然基金项目(242300420366) (242300420366)

中央级公益性科研院所基本科研业务费专项(IFI2024-22) (IFI2024-22)

灌溉排水学报

1672-3317

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